The OSeMOSYS – CR model¶

Abbreviations¶

Abbreviations	Description
ARESEP	Regulatory Authority of Public Services
CANATRAC	National Cargo Transport Chamber
CENCE	National Center of Energy Control
CNFL	National Company of Light and Power
CTP	Public Transportation Council
dESA	division of Energy System (from KTH)
ETSAP	Energy Technology Systems Analysis Program
ICE	Costa Rican Electricity Institute
IEA	International Energy Agency
IMN	National Meteorological Institute
INCOFER	Costa Rican Railway Institute
IPCC	Intergovernmental Panel on Climate Change
HACIENDA	Ministry of Finance
KTH	Royal Institute of Technology - Analysis
MOPT	Ministry of Public Infrastructure and Transportation
RITEVE	Techical Vehicular Revision
RECOPE	Costa Rican Oil Refinery

1. Introduction DDPLAC¶

1.1 Projects overview¶

The creation of OSeMOSYS-CR started as part of the “Deep Decarbonization Pathways Project in Latin America and the Caribbean (DDPP-LAC)” which is coordinated by the Institute for Sustainable Development and International Relations (IDDRI) and the Inter-American Development Bank (IADB) [1] [2].

The project involves six different teams, and each team is formed by experts from a Latin American (LA) country (Argentina, Colombia, Costa Rica, Ecuador, Mexico, and Peru) and experts from other countries (France, USA, Sweden and Brazil). The main purpose of these alliances is to transfer capacities from one country to another, while engaging with policy makers to address a modeling aspect of local importance.

The Costa Rican team is composed by researchers from the University of Costa Rica (UCR) and the Royal Institute of Technology (KTH) in Stockholm, and focuses on the development of an Energy System Optimization Model (ESOM) for its energy system, paying particular attention to the electricity and the transport sectors, to establish the most cost-effective technological transition towards a deep decarbonization, while assessing the corresponding impacts over the economy and society. The project also aims at promoting a dialogue on the national policy related to the future concerning the decarbonization of the economy.

The development of OSeMOSYS-CR has been also supported by the project “Assessing Options to Decarbonize the Transport Sector under Technological Uncertainty: The Case of Costa Rica”. This work was contracted by the Interamerican Development Bank (IADB) for the Directorate of Climate Change (DCC) of the Ministry of Environment and Energy in Costa Rica. The project aimed at developing a framework to evaluate mitigation actions in the Costa Rican transport sector that contribute to achieve the deep decarbonization, considering its uncertainty and socioeconomic impact, and implementing it in OSeMOSYS-CR to evaluate multiple climate actions towards a clean transport sector [3].

The project “Development And Assesment of Decarbonization Pathways to Inform Dialogue with Costa Rica Regarding The Updating Process of Nationally Determined Contribution (NDC)” also contributed to upgrading OSeMOSYS-CR. It involved the development of complementary land and water models, and the integration of them with the energy model. This project was funded by the World Bank for the Directorate of Climate Change (DCC) of the Ministry of Environment and Energy in Costa Rica.

This is the first released version of OSeMOSYS-CR, however the model is expected to grow and new versions will be shared.

1.2 Motivation and problem statement¶

Costa Rica is a Latin American country worldwide known for its environmental protection, political, social and economic stability, and renewable electricity generation. Despite these achievements, there are many challenges to tackle in the energy sector, especially when it concerns transportation. According to the 2016’s National Energy Balance [4], in the country’s energy mix, fossil fuels arethe main energy source with an overwhelming 62.6%. The transport sector accounts for 82.8% of the total fossiel fuel consumption and at the same time corresponds to approximately 44 % of national Green House Gases (GHG) emissions [5].

The previously mentioned challenges are exacerbated by the international and national commitments that Costa Rica has acquired, such as its ambitious NDCs [7]. Therefore, it is crucial for the country to further transform the energy sector by reducing oil consumption through alternative sources, and create a more sustainable energy mix. In this context, the main purpose of the project is to develop an ESOM to characterize the transport and electricity sectors. The objective is to analyze the energy system in order to identify decarbonization pathways scenarios focusing on the transport sector through the examination of transport scenarios with different vectors of final energy demand.

The produced ESOM will support policymakers in Costa Rica understanding the most suitable strategies to achieve a deep decarbonization. It could also be used to decide what type of technologies (in the electricity and transport sector) should be incentivized for the different scenarios. In addition, the project aims to produce a scalable ESOM that will remain in the government for different energy related decisions. The project tries to understand the percentage of existing fossil-based taxis, buses, and light-duty vehicles that should be changed to other more efficient technologies (electric, biogas, etc.). While the previous example applies for the transport sector, similar conclusions are expected in terms of the electricity sector. The modeling tool chosen was the Open Source energy Modelling System (OSeMOSYS) [6].

1.3 The Open Source energy Modelling System (OSeMOSYS)¶

OSeMOSYS is an optimization software for long-term energy planning. It is an open source model structured in blocks of functionality that allows easy modifications to the code, providing a great flexibility for the creative process of the solution. The models that are built in OSeMOSYS minimize the total cost of the system for a certain period of time, defining the configuration of the supply system, considering some restrictions on activity, capacity, and emissions of technologies [6]. This is shown in the following equation:

$Minimize \sum_{y,t,r}Total\ discounted\ cost_{y,t,r},$

where: y corresponds to the year, t to the technology and r to the region.

The discounted cost can be expressed as follows:

$\forall _{y,t,r}\ Total\ discounted\ cost_{y,t,r}\ = DOC_{y,t,r} + DCI_{y,t,r} + DTEP_{y,t,r} - DSV_{y,t,r},$

where:

DOC (Discounted Operational Cost): Corresponds to the cost related to maintenance (fixed, usually associate to capacity) and operation of technologies (variable, linked to fuel uses and level of activity).
DCI (Discounted Capital Investment): It is the cost of investment of all technologies selected to supply energy on the whole period.
DTEP (Discounted Technology Emission Penalty): It is associated to the use of pollutants. The calculation is based on the emission factor and the activity of technologies and the specific cost by pollutant.
DSV (Discounted Salvage Value): As the capital cost is discounted in the first year a technology is acquired, if in the last year of study the technologies have remaining years of operational life, the corresponding value is counted.

2. Energy model: Framework¶

This documentation has been created in order to provide an overview of OSeMOSYS-CR. Therefore, it presents the model structure, and gives a synthesis of the key assumptions of the model, regarding the numerical inputs used for the sets, parameters, and scenario building. First, in this section, we give an insight to the general framework of the model.

2.1 General model structure¶

The Costa Rican energy sector is enterly modeled in OSeMOSYS. However, while the transport and electricity sectors are subject to linear optimization, other smaller demands, such as the firewood used in the residential sector or the coke consumption by industries, are only represented with trends to account for their possible greenhouse gases (GHG) contributions. The overall structure of the model can be represented by the reference energy system shown in Figure 2.1. The primary energy supply consists of four main sources: renewable, imports of fossil fuels, biomass and electricity imports. These sources are transformed in order to satisfy different demands including industrial, residential and commercial requirements, and the transport demands of passengers (public and private) and cargo (light and heavy).

(a)¶

(b)¶

Figure 2.1: Simplified Reference Energy System of the Costa Rica model for the (a) Electricity and (b) Transport sectors

In OSeMOSYS-CR, the connection between the electricity and transport sectors is crucial for understanding the technological transition of fossil-powered vehicles to other options with lower or zero carbon emissions. The next section describes the group of sets considered in OSeMOSYS-CR for representing the elements commented above.

2.2 Sets¶

The sets are responsible for defining the structure of the model (i.e. temporal space, geographic space, elements of the system, etc.). In OSeMOSYS, the group of sets include: years, fuels, technologies, emissions and modes of operation. As it going to be further explained, the sets are characterized through parameters. These subsections present the sets that compose the current version of OSeMOSYS-CR.

2.2.1 Year¶

This corresponds to the period of analysis. For OSeMOSYS-CR it is from 2015 to 2050. However, the data from 2015 to 2018 is set acccording to historical information.

2.2.2 Fuels¶

Figure 2.2 shows the different levels and transformations that the fuels (i.e. commodities) go through, and their relations with some technologies. Groups E0, E1, E3, E4, E5, and E6 are crucial elements of the current supply chain, while E8 and E9 are modeled for control purposes. Groups E9, E10 and E11 complement the model to enable the inclusion of hydrogen and infrastructure.

Figure 2.2: Simple diagram for fuel specification.¶

Table 2.1 presents a synthesis of the groups of commodities, including a brief description and examples.

Table 2.1: Summary of fuels included in OSeMOSYS-CR’s energy model.

Group	Descriptions	Examples
E0	Pre-sources: Imports and fuel production	Import and production (fossil fuels and Biofuels), and their distribution.
E1	Primary sources (energy balance)	Water, Wind, diesel, gasoline, biomass, and firewood.
E2-E3	Electricity	Electricity from power plants to its distribution.
E4	Electricity demand by sector	Diesel for agriculture, firewood for residential, petroleum coke for industry.
E6-E6*	Transport demand	Private and public passenger transport, and light and heavy cargo transport.
E7	Distribution	Diesel for industry, LPG for heavy cargo transport, electricity for vehicles.
E8	Transport managers	Fossil fuels for public transport, low carbon fuels for light freight.
E10	Infraestrucuture	Roads, rails, and bikeways.
E11	Specific category for Hydrogen	Produced hydrogen and ready to use.

See Annex for the whole list of fuels.

2.2.3 Technologies¶

Different types of technologies (i.e. processes) are included in the model in order to represent the current supply chain and substitution possibilities. Figure 2.3 shows the different levels and transformation of technologies.

Figure 2.3: Simple diagram for technologies specification.¶

The groups of technolgies contemplated in OSeMOSYS-CR are described below:

The first groups (ES, BL and DIST) are specially designed to model fossil fuels imports, production of biofuels, and the blend and distribution of them, considering the current pipe system for gasoline and diesel.
The second group of blocks corresponds to the electric power system (PP and TD), that is mainly connected to renewable primary sources.
The third level corresponds to civil infrastructure for mobility: TI and intermediate technologies for controlling the systems and divide the supply chains regarding fuels and technologies.
TR technologies are dedicated to transport modelling and include blocks to study the modal shift.
ED connects primary sources and demands that are not subject to the optimization process, but have GHG contributions.

Table 2.2 presents a synthesis of the groups of technologies in OSeMOSYS-CR, including a brief description and examples.

Table 2.2: Summary of technologies included in OSeMOSYS-CR’s energy model.

Group	Descriptions	Examples
ES-BL-DIST	Energy Sources	Imports and production (fossil fuels and biofuels), and their distribution.
PP-TD	Power plants and the electric grid	Hydro Power Plant, Transmission system, and distributed generation.
ST	Sources	Water, Wind, diesel, gasoline, biomass, and firewood.
D(F-T)	Division	Diesel for Industry, LPG for heavy cargo transport, Electricity for vehicles.
TI	Transport infrastructure	Roads, rails, and bikeways.
TR	Transportation	Electric Light duty Vehicles, LPG Buses, bikes, low carbon techs for passenger
ED	Sources	Water, Wind, diesel, gasoline, biomass, and firewood.

See Annex for the whole list of processes.

2.2.4 Emissions¶

Table 2.3 shows a description of the emissions included in the model. In general, to quantify GHG contributions, the values are in terms of equivalent carbon dioxide (CO2e).

Table 2.3: Summary of emissions included in OSeMOSYS-CR’s energy model.

Code	Name
CO2_sources	Carbon Dioxide from primary sources
CO2_transport	Carbon Dioxide from transport
CO2_AGR	Carbon Dioxide from agriculture
CO2_COM	Carbon Dioxide from the commercial sector
CO2_IND	Carbon Dioxide from the industrial sector
CO2_RES	Carbon Dioxide from the residential sector
CO2_Freigt	Carbon Dioxide from freigt transport
CO2_HeavyCargo	Carbon Dioxide from heavy cargo
CO2_LightCargo	Carbon Dioxide from light cargo

In addition, with this set the model incorporates benefits resulting from the implementation of mitigation policies in the energy sector. These are:

Health improvements of the population as a result of a reduction in GHG emissions.
Reduction of congestion, which leads to an increase in the country’s productivity.
Reduction of accidents on the national roads.

2.2.5 Mode of operation¶

The model has one mode of operation, Mode 1, for representing the normal operation of the system.

2.2.6 Region¶

The model has a nationwide scope, therefore it only has one region: Costa Rica (CR).

3. Energy model: Data inputs¶

This section presents the main databases explored for building OSeMOSYS-CR, and the way the information was processed in order to introduce it to the model.

3.1 Main data sources¶

3.1.1 Energy balance of Costa Rica¶

The energy balance is the most important source of data for the energy model of OSeMOSYS-CR, which is prepared by the Secretariat of Planning of the Energy Subsector (SEPSE). The analysis gathers and processes data from institutions such as the Costa Rica Institute of Electricity (ICE), the Costa Rican Petroleum Refinery (RECOPE) and the National Center of Energy Control (CENCE). The information is usually presented annually with excel books and a SANKEY diagram. In Costa Rica, the fossil fuels are completely imported, and the electricity is generated almost completely with renewable sources [4].

Figure 3.1 presents the historical trending of energy consumption by sector.

_images/Fig_HistoricalEnergyConsumption.png

Figure 3.1: Historical energy consumption by sector in Costa Rica .¶

3.1.2 Other key databases¶

In the model, all fuels and technologies are incorporated to OSeMOSYS taking into account other sets, such as temporary divisions and emission, as well as the parameters. The latter are classified, among others, into costs, activity levels and infrastructure capacities. The establishment of these parameters was done after processing and reviewing the available national energy data. Table 3.1 summarizes the main souces of data for OSeMOSYS-CR.

Table 3.1: Main data sources used in OSeMOSYS-CR.

Category	Source	Data	Descriptions and assumption made
Energy System	SEPSE	Energy balance	It is used to build the structure of the energy system, time-series of energy consumption from 1989 to 2017 and forecasted with ARIMA models.
Demand	SEPSE	Final energy	End-use information by sectors: industry, transport, households, services and agriculture.
Demand	SEPSE RITEVE MOPT ETSAP	Transport (passengers and cargo)	It includes load factors, vehicle fleet, and energy consumption, efficiencies and annual kilometers. We combine international standard data of technologies with national records. Technological groups are defined to study modal change and fuel use. Non-motorized mobility is considered zero in the base case.
Electricity technologies	ICE Bloomberg IEA	Capital and fixed costs	Based on national data. The costs were assumed constant in the whole period, except for solar and wind systems, which decrease according to international trends. Residual capacity is constant.
Electricity technologies	ICE	Capacity and activity	Based on the operational performance registered by the National Energy Control Centre. Operational life is according to national plans.
Transport technologies	Hacienda Bloomberg Companies	Capital and fixed costs	Based on the Ministry of Finance (Hacienda) database. We assumed that cost of electric vehicles decreases (Bloomberg). For cargo transport, we review cost of companies like Nicola and Tesla.
Transport technologies	SEPSE RITEVE MOPT	Capacity and activity	Based on the performance register by national surveys, concession for public transport and the annual Vehicle technical review (RITEVE). Operational life is according to manufacturers and the residual capacity decreases linearly and proportionally with this value.
Fuel prices	RECOPE IEA ARESEP	Fossil Fuels and Biofuels	Based on current tariffs and projection uses in national plans. It considers international prices and the tariff given by the regulator in Costa Rica (ARESEP) and trend provide by international Energy Agency (IEA).
	ICE ARESEP	Electricity	Base of the average of national tariffs and projections.
	SEPSE	Biomass	Not included. It is produced and consumed locally.
	ETSAP	Hydrogen	Based on data published by ETSAP.
Infraestrucure	ICE	Plants and power grid	Based on Transmission and generation national plans. It assumes losses of 4% from the bulk transmission system and 6% for distribution. Charging infrastructure is not included.
	RECOPE	Pipeline and road distribution	Based on national reports, we consider the current infraestructure does not grow (gasoline and diesel). It includes new infrastructure for LPG. The model includes natural gas but is not used.
	ETSAP	Hydrogen	Consider local production, road transport and supply stations.
Sustainable mobility	MINAE MOPT INCOFER	Urban plans and mobility	Regarding the Integrated Public Transport System, the cost consideration come from Costa Rican Railways Institute (INCOFER) and MOTP studies.
Cargo transport	MINAE MOPT INCOFER	Electric cargo train and Logistic	Costs from national reports and demand based on expert criteria given in the participatory process.
Emissions	IPCC	Factors	Based on the IPCC and the national GHG inventory.
Co-benefits	PEN IMF	Coefficients	It considers coefficients for health congestion and accidents by State of the Nation Project (PEN) and International Monetary Fund (IMF)

The following sections presents the data incorporated in the paramters of OSeMOSYS-CR. This section presents mainly the information for used for establishing the base escenario of the model, and characterizing the commodities and processes included in the model.

3.2 Global parameters¶

These parameters affect directly other parameters.

3.2.1 Year split¶

Costa Rica regularly has 5 months of dry season, and 6 months of rainy season, with two months of transition. The ltter in OSeMOSYS-CR are evenly distributed in both times lices. Therefore, the model uses de values presented in Table 3.2.

Table 3.2: Year split values in OSeMOSYS-CR.

Timeslice	Year split value
DRY	0.42
RAINY	0.58

3.3 Demands¶

Based on the historical data of the energy balance, the demand projections were developed by using ARIMA models. These models are one of the most widely used approaches for time series forecasting. They correspond to simple univariate models focused on the long trend trajectory of the different time series. Their general structure is shown below:

General equation:

$\phi \left(B\right){\phi}_s\left(B\right)Z_t=\mu +\theta \left(B\right){\theta }_s\left(B\right)a_t$

Simple delays:

$\phi \left(B\right)=1-{\phi }_1B-{\phi }_2B^2-...-{\phi }_pB^b\ \wedge \ \ \phi \left(B\right)=1-{\phi }_{1s}B^s-{\phi }_{2s}B^{2s}-...-{\phi }_{Ps}B^{Pb}$

$\theta \left(B\right)=1-{\phi }_1B-{\phi }_2B^2-...-{\phi }_qB^q\wedge \ \theta \left(B\right)=1-{\phi }_{1s}B-{\phi }_{2s}B^{2s}-...-{\phi }_{Qs}B^{qs}$

where ϕ corresponds to operators, μ is the media of ϕ, θ is a coefficient, and s is a stational component.

This forecasting model gives good approximations of the data registered by institutions. The estimation begins with the analysis and forecasting of the time series corresponding to the primary sources. With these long term values, a specific trend is fixed by using the shares defined in the base year. A Hierarchical process was develop considering that the shares by each sector are the same on the base year. Figure 3.2 shows the general results of the projections and general annual demands.

_images/Fig_ProjectedDemandsBySector.png

Figure 3.2: Forecasting demands introduce to the model .¶

In order to estimate the demands of the transport sector, an additional calculation is required, but the previously projections of energy consumption for transport (by fuel) are used as base. Using this variable allows to have a systematic monitoring of the supply chain. Another crucial variable is the relation between energy consumption and the annual average distance travelled by each group of technologies. The general equations for the estimation are shown below:

$Passenger=\sum_{Techs}{\frac{Energy\ Consumption\ \left(PJ\right)}{Efficiency_{CR}\left(\frac{Gkm}{PJ}\right)}*Load\ Factor\ (P)\ }$

$Cargo=\sum_{Techs}{Energy\ Consumption\ \left(PJ\right)*Efficiency_{CR}\left(\frac{Gkm}{PJ}\right)*Load\ Factor\ (\frac{Ton}{v} )}$

where:

$Efficiency_{CR}={\left.\left\{Fleet\left(V\right)*annual\ distance\ \left(km\right)\ /\ energy\ consumption(PJ)\right.\right\}}_{2015}$

Now, we are considering that this relation defined in the base year will be constant, assuming a no-policy scenario and taking into account that this data concentrates the efficiency of the road system and technologies. For more details, see the documentation of the InputActivityRatio parameter.

As a short example, the calculation of the demand for the gasoline light duty vehicles (TD_LDGSL) in the 2015 year, is shown below:

${TD\_LD}_{GSL}=\left[Energy\right]\left(PJ\right)*\left[Efficiency\right]\left(\frac{Vkm}{PJ}\right)*\left[LoadFactor\right]\left(\frac{P}{V}\right)$

where:

$Energy = CR\ gasoline\ consumption\ \left(PJ\right)* \%\ consumed\ by\ light\ duty\ (pu),$

$Efficiency = {\left(\frac{Annual\ Average\ distance\ traveled\ by\ light\ duty*light\ duty\ fleet\ \ \ }{Energy\ consumption\ by\ all\ light\ duty}\right)}_{base},$

$LoadFactor=ocupancy\ rate\ for\ light\ duty.$

Therefore:

${TD\_LD}_{GSL}=\left[21.88\ PJ*0.56\right]\ *\left[\frac{14773\ km*611324\ V}{21.88\ PJ}\right]*\left[\frac{1.5\ P}{V}\right]=13.5\ Gpkm$

This similar process was developed for every transport technology during all the years included in the analysis. In the process, the energy consumption changes according to the projection. The final calculation of the demands is presented in the figure 3.3.

Figure 3.3: Transport demands introduce to the model .¶

The demands are introduced in two different parameters:

Specified Annual Demand and Specified Demand Profile.
Or we used the Accumulated Annual Demand, when the data corresponding to the profiles was unavailable.

3.3.1 Specified Annual Demand¶

According to the procedure explained above, this is used for the electricity and transport sectors. It contains the total annual demand.

3.3.2 Specified Annual Demand¶

According to the procedure explained above, this is used for the electricity and transport sectors. It represents the way this demand is distributed throughout the time slices. In OSeMOSYS-CR, this distribution is incorporated proportional to the duration of each time slice (i.e. 0.42 and 0.58 for dry and rainy season, respectively).

3.3.3 Acummulated Annual Demand¶

For the current model, the energy demands -different to electricity and transport- are assumed as constant throughout the years. The next demands are introduced in this parameter:

Industrial: Diesel, Fuel oil, Firewood, LPG, Biomass, and Petroleum coke.
Commerce: Firewood, and LPG.
Agriculture: Diesel.
Residential: Firewood, and LPG.

3.4 Performance¶

3.4.1 Capacity To Activity Unit¶

This parameter allows to relate the capacity and activity level of the technologies. For this model, this parameter is used to introduce the relation between power and energy of the electricity sector. Therefore, we convert the GWh to PJ, understanding that if 1 GW is constant throughout the year, the corresponding energy is 31,536 PJ

For other sectors, we assume a default value equal to 1, as the calculation is related only to energy.

3.4.2 Capacity Factor¶

The capacity factor is mainly used for representing electricity generation. In this case, historical data from 2011 to 2017 was the base to define the average value for every group of plants. Figure 3.4 shows the values of capacity factors for different power plants. For solar and wind power plants another possibility is to use some tools like renewable ninja.

Figure 3.4: Capacity factor for plants .¶

3.4.3 Availability Factor¶

This value corresponds to the time that each technologies is available. OSeMOSYS-CR uses 0.9 for power plants (assuming a 0.1 portion of the time for maintenance works and reliability). For the transport sector, the model uses 1, since the vehicle fleet and the modes of mobility are distributed in the whole region and a combination of them can be used.

3.4.3 Operational Life¶

For this parameter, at the moment, the model employs a set of values used by KTH. In general, the most important investments have an operational life greater than the period of analysis. Table 3.3 shows the data used in the model.

Table 3.3: Summary of operational lifes used in the model.

Electricity sector		Transport sector		Infraestructure
Technologies	Value	Technologies	Value	Technologies	Value
Hydro dam	80	Light duty	15/12	Electric grid	50
Hydro Run off river	60	4WD	10/12	Pipeline system	50
Biomass Power Plant	25	Motorcycle	11/12	Biofuel production	50
Geothermal Power P.	40	Minivan	15/12	H2 production	50
Solar Distribution	20	Buses	15/12
Solar transmission	40	Micro buses	15/12
Wind Distribution	20	Taxis	10/12
Wind transmission	40	Pickup truck	15/12
Thermal	25	Trucks	15/12

3.4.4 Residual Capacity¶

The residual capacity expresses the capacity that already exists in the first year of analysis. The considerations regaring the electricity and transport sectors are presented below:

Electricity sector: As the most relevant plants in Costa Rica (especially Hydropower) have been recently improved in order to extend their operational life, the existing capacity in 2018 does not decrease through all the period of analysis. Figure 3.5 shows the reference values for 2018.

Figure 3.5: Installed capacity in the Costa Rican power system (based on CENCE) .¶

Transport sector: This calculation was made taking into account the vehicle fleet in 2015, the transport demand by sector and a decreasing number of vehicles proportional to the operational life. Figure 3.6 presents how the capacity of the current fleet is reduced over the years.

_images/ResiduaL_Capacity_Transport_DDPLAC.png

Figure 3.6: Residual capacities for (a) public, (b) private and (c) cargo transport .¶

3.4.5 Input Activity Ratio¶

This value is key for building the structure of model, since it connects the fuels and technologies (i.e. it represents all the inputs each technology needs). Usually, it is referred as the inverse of the efficiency of the process (if the Output Activity Ratio parameter is 1).

In the case of the electricity sector, most part of the power plants are connected to renewable sources. Therefore it has been assumed a relation 1:1. With the exception of thermal plants, that are directly dependent of their variable cost (i.e. fuel). For the transmission and distribution grid, values proportional to losses (4% and 6%) were introduced. Table 3.4 shows the data used in OSeMOSYS-CR.

Table 3.4: Summary of input activity ratio for electric sector.

Input sources	Technology group	Value
Water, solar, wind, geothermal	Renewable power plant	1.000
Diesel	Thermal power plant	2.857
Fuel oil	Thermal power plant	2.174
Electricity from power plants	Transmission grid	1.040
Electricity from transmission	Distribution grid	1.060

For the transport sector, the input activity ratio corresponds to the relation between the energy consumption (in Joules) by technologies and the demand (in vkm, pkm or tkm). As a first reference, values taken by organizations such as ETSAP or manufactures are considered. Regarding Costa Rican data, the requirements are: energy consumption by the transport sector, number of vehicles in the fleet and annual average distance by category. The efficiency can be expressed as MJ/km, or MJ/pkm if the load factor (i.e. number of passagers, p, per vehicle) is included. The importance of using the load factor is that it eases the incorporation of modal change by unifying the demand.

The general equation for calculating the input activity ratio in passenger transportation tecnologies in OSeMOSYS-CR is:

${\varepsilon}_{CR}={\left(\frac{Energy}{Fleet*distance}\right)}^{-1}\left(\frac{km}{MJ}\right) = {\left(\frac{Energy}{Fleet*distance*passenger}\right)}^{-1}\left(\frac{pkm}{MJ}\right)$

The next example, Table 3.5, shows how to recalculate the efficiencies of two types of technologies: current and new technologies. Here, we use the example of gasoline light duty vehicles. The procedure consists of using the estimation based on the national relation and the proportion provided by one reliable source (in this cases, a data set by the KTH based on ETSAP).

Table 3.5: . Recalculation of the input activity ratio .

Technology	KTH-ETSAP (MJ/km)	KTH-ETSAP (proportion)	CR data: (ECR_LDV)-1 (MJ/km)	Recalculated (MJ/km)
LDV_GSL (current)	3.78 (base)	1.000	2.420	2.42
LDV_GSL (New)	2.06	0.550		1.33

In this case, the data corresponding to the current vehicles is assumed equal to the national data. The data for new technologies is proportional to the relation estimated. As the relation between distance and energy consumption is a control variable that combines the efficiency of technologies and the road system, the value will be kept constant. This is done considering that the efficiency of the technologies will improve, while the conditions of the system will decrease.

3.4.5 Output Activity Ratio¶

This parameter works together alongside with the InputActivityRatio. Since the efficiency is stablished in the input, the OutputActivityRatio value is always 1. Therefore, its funciton in OSeMOSYS-CR is to connect the structure of the model.

3.5 Technology costs¶

Figure 3.7 shows the relation included in the model regarding costs. Usually, the capital and fixed costs are related with the capacity and the variable cost is linked to the activity level. The diagram shows what parameters are used for each group of technologies.

Figure 3.7: Cost chains of OSeMOSYS-CR, where CC: Capital Cost, VC: Variable Cost, FC: Fixed Cost and P: Penalty.¶

In order to understand the cost flow, that the model follows in order to satisfy a specific demand, a brief example is presented in Figure 3.8. The figure includes the relation between the electric grid, the pipe system and the vehicles for one year.

Figure 3.8: Brief example of the cost chain of the model.¶

In this example, we have two ways to satisfy 1 Gpkm: electricity and fossil fuels. We are not taking into account the depreciation in this example. The activity and capacity for the transport sector is the same, while for the electricity sector the Capacity-to-activity unit (31.536) is used. The general, equation is:

$TotalCost=\sum_{Techs}{\left(Capital\ cost+fixed\right)*\left[capacity\right]+\left(cost\ variable\ cost\right)*[activity]}.$

Electricity supply:

$Vehicle=\left(1200\ \frac{MUSD}{GPkm}\right)*\left[1GPkm\right]=1200\ MUSD, \\$

$Power\ -T\&D=\left(1200\ \frac{MUSD}{GW}\right)*\left[1GPkm*3\frac{PJ}{GPkm}*\frac{1}{\mathrm{31.536}}\frac{GW}{PJ}\right]=114\ MUSD, \\$

$Total\_electric=1200\ MUSD+114\ MUSD=1314\ MUSD. \\$

Fossil Fuels supply:

$Vehicle=\left(800\ \frac{MUSD}{GPkm}\right)*\left[1GPkm\right]=800\ MUSD, \\$

$Fuel=\left(2+11\frac{MUSD}{PJ}\right)*\left[1GPkm*3.5\frac{PJ}{GPkm}\right]=45.5\ MUSD,\ \\$

$Total\_fossil=1200\ MUSD+114\ MUSD=845\ MUSD. \\$

In this example, the fossil fuel chain is cheaper than the electricity-based solution. Additional conditions must be added, such as: the depreciation and variations in the costs. The next sections present the data used for the costs in the model.

3.5.1 Capital Cost¶

Regarding the transport sector, the capital cost information is based on information from the Ministry of Finance of Costa Rica (Hacienda). OSeMOSYS-CR assumes that the cost of electric vehicles decreases according to information from Bloomberg. For cargo transport, the model incorporates cost data from companies like Nicola and Tesla. The following equation shows how the capital cost is calculated:

$Capital\ cost=cost\ of\ vehicle\ \left(\frac{USD}{vehicle}\right)/effiecency\left(\frac{km}{year}\right)/LF\left(\frac{Passenger}{vehicle}\right)$

For the electricity infraestructure such as power plants, the model uses information from the Costa Rican Institute of Electricity, ICE.

3.5.2 Fixed Cost¶

For the transport tecnologies, at the moment, the model uses information from a data set by the KTH based on ETSAP. The distribution of fossil fuels is parameterized with information from the Costa Rican Petroleum Refinery. On the other hand, the electricity distribution uses information from the Costa Rican Institute of Electricity, ICE.

3.5.3 Variable Cost¶

The variable cost in the model is mainly used for representing the imports of fossil fuels with trends set by the International Energy Agency (IEA).

3.6 Emissions¶

3.6.1 Emission Activity Ratio¶

This aspect of the model was parameterized with the National GHG Inventory.

3.6.2 Emission Penalty¶

To estimate the impact of an improved transport system, we assign an externality cost to each technology representing a vehicle. In sum, a decarbonization scenario has lower externality costs in comparison to a baseline, since the activity of transport technologies decrease. We evaluate the following aspects that are monetized: less traffic jams, fewer accidents and reduced negative impacts of pollution on health.

The externality costs from the impacts of pollution per unit of activity are obtained using data from the PIMUS report [8]. PIMUS assigns a cost per ton to three pollutants: NOx, SOx and PM10. To be applicable for the model, we estimate an externality cost per vehicle-kilometer traveled (vkm). The PIMUS report has emission factors per distance traveled and takes as reference the Grütter Report to estimate the vkm per vehicle type. To match the categories of the model, the following assumption is considered:

The emission categories of the PIMUS report are disaggregated per emission control type and fuel. Since the model is only disaggregated by fuel type, factors for vehicle types with the same fuel are averaged.

The cost of the emissions is presented in Table 3.6.

Table 3.6: Externalities associated to health caused per vehicle type [MUSD/Gvkm].

.	NOX	SOX	PM10	Total
Light Duty Passenger Vehicles-Gasoline	2.66	0.37	0.28	3.31
Light Duty Passenger Vehicles-Diesel	1.84	1.40	4.23	7.48
Light Freight	2.38	1.97	4.99	9.33
Minibus	13.74	5.10	9.69	28.53
Heavy Duty (Heavy Freight and Buses)	22.03	7.19	32.54	61.75
Gasoline Motorcycles	0.83	0.11	7.90	8.84

For congestion, the PEN states that the annual cost is equivalent to 2.5 USD Billion, whereas PIMUS calculates 691 USD Million. The latter uses factors per vkm that try to capture the cost of the lost productivity, higher maintenance and stress, whereas the first estimated the change in time of congested roadways against non-congested ones per county and multiplied it by an average income (representing the lost productivity). Since the methodologies are different, we pick the factor based on the vkm variable, since time is not accounted for in the model. The estimates of PIMUS are based on the Victoria Transport Policy Institute bibliography as well as the Grütter report. The values used are shown in Table 3.7.

Table 3.7: Externalities associated to congestion caused per vehicle type [MUSD/Gvkm].

Technology	Externality cost [MUSD/Gvkm]
Light Duty Vehicles	46
Minivan	46
SUV	168.1328377
Taxi	46
Minibus	46
Bus	90
Light Freight	90
Heavy Freight	90
Motorcycles	46

The PIMUS report states that one death costs (CD) 738,130 USD and the cost of an injury (CI) is 179,260 USD. We also review the Statistical Book of COSEVI for 2017 to obtain the number of deaths and injuries per vehicle type: motorcycle, light duty vehicle and minibus or bus [9]. We do not consider accidents for light and heavy freight for the lack for the lack of public statistics. We use the equation 1 to define the factor per vkm for each vehicle type (vt).

$Factor(vt) = \frac{Deaths(vt)*CD*kD + Injuries(vt)*CI*kI)}{Gvkm (vt)}.$

To complete the equation, we use the Gvkm stated in the PIMUS report. Nonetheless, since the Gvkm in PIMUS are for the Great Metropolitan Area, we adjust the cost of the deaths and injuries with the factors kD and kI , respectively, to avoid over-penalization [8]. Table 3.8 shows the results.

Table 3.8: Externalities associated to accidents caused per vehicle type [MUSD/Gvkm].

Technology	Externality cost [MUSD/Gvkm]
Light Duty Vehicles	91.64
Minivan	91.64
SUV	91.64
Taxi	91.64
Minibus	101.87
Bus	101.87
Motorcycles	635.24

4. Energy model: Scenario building¶

OSeMOSYS-CR started by estimating a base case, and subsequently, including the effect of a set of policies defined by stakeholders in a decarbonization scenarios. This exercise allowed the creation of the following scenarios:

A Business-as-usual (BAU) scenario, that represents the behavior of the emissions without considering public policy interventions (i.e. following the historic trends).
A NDP scenario that is compatible with a goal of net zero emissions by 2050.

The BAU scenario considers that the energy consumption, economic activity and population grow according to the historical trends. This scenario incorporates the electricity generation expansion plan from the Costa Rican Electricity Institute to represent the development of the electricity sector [10]. It also includes a moderate penetration of solar and wind generation, distributed generation for self-consumption, prived electric vehicles and electric public transport (buses). In terms of emissions, this scenario does not have a significant change in relation to the trend trajectory.

The NDP scenario considers that the social and economic situation described in the BAU scenario remains the same. However, they incorporate the political objectives generated through stakeholder engagement and the participatory process. The main strategies in the 2° and 1.5° scenarios are focused in i) urban planning and mobility, ii) switching fossil fuel technologies, and iii) switching energy carriers. Figure 4.1 sumarizes the main aspects of each scenario.

Figure 4.1: Scenarios in OSeMOSYS-CR.¶

The following sections describe how the considerations in Figure 4.1 were introduced in the model.

4.1 Passenger Transport¶

Mode shift between public and private passengers demands: OSeMOSYS-CR uses changes in the levels of activity from private to public transport with a target by 2050. Load factors, distances, and efficiencies are similar to BAU. Figure 4.2 shows how this is incorporated in the model with the Total Technology Annual Activity LowerLimit parameter.

_images/AnnualAcitivtyLowerLimit_ModeShift_DDPLAC.png

Figure 4.2: Mode shift from public to private transport technologies in OSeMOSYS-CR .¶

Non-motorized mobility and digitalization: The transition is carried out by a linear reduction of the demand in private and public transport from 2022 to 2050, and an increasing demand of non-motorized mobility. The cost of the infrastructure was embedded with the mode shift. In terms of the digitalization, we do not consider costs due to the existing and growing communication infrastructure of the country. Figure 4.3 presents this changes in the demand from the Specified Annual Demand parameter.

_images/SpecifiedAnnualDemand_DDPLAC_Transports.png

Figure 4.3: Changes in the demand in BAU, SR15 and SR20 scenarios .¶

Electrification private and public sectors: Similar to the mode shift, we parametrized an adoption curve considering targets by 2035, and 2050. The procedure consists of introducing a level of activity for low-carbon technologies while the proportions of the other groups of technologies are kept proportional to the base year. Figure 4.4 shows the case of Light-duty electrical vehicles.

_images/ActivityElectricLighduty_DDPLAC.png

Figure 4.4: Increasing activity of light-duty electric vehicles .¶

4.2 Cargo Transport¶

Demand absorbed by TELCA and Logistic: The TELCA began to absorb demand for heavy freight linearly from 2022 to 2024, in which the electric train reaches a maximum value of 10% through 2050. The logistic actions reduce the light freight demand, and we use the same linear reduction, but with 2022 and 2030 as transition years. Figure 4.5 shows the reduction in the demand. In both cases, the capital cost is introduced linearly in the transition years. Fixed costs also increase in the transition period to the maximum rate, which remains until 2050

_images/SpecifiedAnnualDemand_Cargo_DDPLAC.png

Figure 4.5: Reduction of the freight demand .¶

Use of LPG: Considering the uncertainty in cargo transport related to low-carbon technologies, the stakeholders consider this as an alternative. It is modelled as a maximum value of activity from 0% to 20% between 2022 and 2050.
Low carbon technologies: Similar to the above, there are no absolute values for the transition. In this context, we use the reference value of emission (in cargo) of 2018 and define a linear constraint of emissions from 2022 to 2050, limiting the emission from 0% to -20% and -70%, according to the scenario. The model optimizes under this constraint. Figure 4.6 shows this limit from the Annual Emission Limit parameter.

Figure 4.6: Cargo Emission Annual Limit .¶

4.3 Electricity and fossil fuels¶

Blend with biofuels: A specific process in the model makes the volumetric mixture of biofuels and fossil fuels, defining percentages of activities. For these cases, it establishes a linear level of activity from 0 to 8% for ethanol and 0 to 10% for biodiesel, between 2022 and 2050. This consideration corresponds to the uncertainty linked to biofuel imports and productions. Here, we consider only imports and comparable prices with fossil fuels.
Renewable electricity: The assumption limits the operation of thermal power plants from 2.5% to 0% between 2022 and 2050.
Efficiency: It is assumed a linear reduction of demands from 0% to 10% between 2022 and 2050 as a response to the increased efficiency in the energy sector.

5. Using OSeMOSYS-CR¶

OSeMOSYS-CR’s repository¹, contains the following folders:

0_Model Structure: contains two files that describes the structure of the model.
1_Scenarios_Inputs: contains three folders representing each one of the climatic scenarios (i.e. BAU, SR20, and SR15). Each folder holds 30 individual comma-separated (csv) files with the parameters of the model.
2_Scenarios_Outputs: stores the outputs generated after running the model.

In order to run the model, the following files are needed:

1_csv_to_txt.py: converts the csv files in 1_Scenarios_Inputs into a text (txt) file of the parameters of the model.
2_run_model_mathprog.py: runs the model and generates two wide format file with the results of the model: i) a file containing the original names of the fuels, technologies and emissions, and ii) a file with coded names for an easier understanding.

Running the model, generates the following files, all of them are store in 2_Scenarios_Outputs:

Osemosyscr_data.txt: is the output file of 1_csv_to_txt.py.
Osemosyscr_data_Output.txt: is one of the output files of 2_run_model_mathprog.py. Contains the results of the scenario.
Osemosys_data_Output.csv: is one of the output files of 2_run_model_mathprog.py. Contains the results of the scenario in a wide format csv file.
Osemosys_data_Output_CODED: is one of the output files of 2_run_model_mathprog.py. Contains the results of the scenario in a wide format csv file with coded names for the fuels, technologies and emissions of the model.

Figure 5.1 shows the general framework of how the python modules of OSeMOSYS-CR work. The following are important considerations for using these modules:

In order to run the model, the GLPK², solver needs to be installed.
Before running the model, 2_Scenarios_Outputs should be empty.
1_csv_to_txt.py and 2_run_model_mathprog.py must be respectively run. In both codes the scenario of interest needs to be specified in the first lines.

Figure 5.1. General Framework of OSeMOSYS-CR¶

¹ https://github.com/EPERLab/OSeMOSYS-CR

² https://www.gnu.org/software/glpk/

References¶

1: IDB and DDPLAC. Getting to Net-Zero Emissiones Lessons from LAC. Technical Report, Inter-American Development Bank, Washington D.C, 2019.
2: Guido Godínez-Zamora, Luis Victor-Gallardo, Jam Angulo-Paniagua, Eunice Ramos, Mark Howells, Will Usher, Felipe De León, and Jairo Quirós-Tortós. How Modelling Tools Can Support Climate Change Policy: The Case of Costa Rica in the Energy Sector. Energy Strategy Reviews, 2020.
3: Jairo Quirós-Tortós, Luis Victor-Gallardo, Guido Godinez-Zamora, Mark Howells, Eunice Pereira, Edmundo Molina, and David Groves. Assessing Options to Decarbonize the Transport Sector under Technological Uncertainty: The Case of Costa Rica. Technical Report, University of Costa Rica, Tecnológico de Monterrey and RAND, 2020.
4: SEPSE. Balances Energéticos. 2016. URL: https://sepse.go.cr/ciena/balances-energeticos/.
5: IMN. Inventario nacional de gases de efecto invernadero y absorción de carbono. Technical Report, National Meteorological Institute, San José, 2012.
6: Mark Howells, Holger Rogner, Neil Strachan, Charles Heaps, Hillard Huntington, Socrates Kypreos, Alison Hughes, Semida Silveira, Joe DeCarolis, Morgan Bazillian, and Alexander Roehrl. Osemosys: the open source energy modeling system: an introduction to its ethos, structure and development. Energy Policy, 39(10):5850 – 5870, 2011. Sustainability of biofuels. URL: http://www.sciencedirect.com/science/article/pii/S0301421511004897, doi:https://doi.org/10.1016/j.enpol.2011.06.033.
7: MINAE. Costa Rica’s Intended Nationally Determined Contribution. Technical Report, Ministry of Enviroment and Energy of Costa Rica, 2015.
8: MINAE; MIVAH; MIDEPLAN; BID; GEF; AC&A; Gensler. Plan Integral de Movilidad Urbana Sostenible para el Área Metropolitana de San José, Costa Rica. Technical Report, Ministerio de Ambiente y Energía, Ministerio de Ambiente y Asentamientos Humanos, Ministerio de Planificación y Política Económica, 2017. URL: https://cambioclimatico.go.cr/wp-content/uploads/2018/09/PIMUS_INFORME-EJECUTIVO.pdf.
9: Deiby Solano Cambronero. Anuario estadístico de accidentes de tránsito con víctimas en Costa Rica. Technical Report, Consejo de Seguridad Vial, 2017. URL: https://www.csv.go.cr/estad%C3%ADsticas.
10: ICE. Plan de expansión de la generación 2018-2030. Technical Report, Instituto Costarricense de Electricidad, 2019. URL: https://www.grupoice.com/wps/wcm/connect/f5fd219d-700d-4abc-8422-ecbd27f9c9fd/Informe+Ejecutivo+PEG2018-2034.pdf?MOD=AJPERES&CVID=mrl1q1W.

Annexes¶

A1. Fuels¶

The following table shows the fuels included in OSeMOSYS-CR.

Name	Description	Group
E0BIODSL	Biodisel imported or produced	Pre-sources
E0DSL	Diesel imported	Pre-sources
E0DSLBLEND	Diesel and biodiseal blend	Pre-sources
E0ETHAN	Ethanol imported or produced	Pre-sources
E0GSL	Gasoline imported	Pre-sources
E0GSLBLEND	Gasoline and ethanol blend	Pre-sources
E0LPG	LPG imported	Pre-sources
E0NATGAS	Natural Gas imported	Pre-sources
Name	Description	Group
E1BIO	Biomass energy	Sources
E1DSL	Diesel	Sources
E1FOI	Fuel Oil	Sources
E1FWO	Firewood	Sources
E1GAS	Gasoline	Sources
E1GEO	Geothermal energy	Sources
E1GSL	Gasoline	Sources
E1JEFU	Jet Fuel	Sources
E1LPG	Liquid Petroleum Gas	Sources
E1METH	Methene	Sources
E1PCO	Petroleum coke	Sources
E1SOL	Solar energy	Sources
E1WAT	Hydraulic energy	Sources
E1WIN	Eolic Energy	Sources
E2ELC01	Electricity Supply by Plants	Electricity
E2HYD	Hydrogen produced	Hydrogen
E3ELC02	Electricity for Transmission	Electricity
E3ELC03	Electricity for Distribution	Electricity
E3ELC04	Electricity Exports	Electricity
E4ELC03AGR	Agriculture Electricity Demand	Electricity Demand
E4ELC03COM	Commercial Electricity Demand	Electricity Demand
E4ELC03IND	Industrial Electricity Demand	Electricity Demand
E4ELC03PUB	Public Electricity Demand	Electricity Demand
E4ELC03RES	Residential Electricity Demand	Electricity Demand
E5BIOIND	Biomass for Industry	Final Demand
E5DSLAGR	Diesel End Use Agriculture	Final Demand
E5DSLIND	Diesel End Use Industry	Final Demand
E5FWCOM	Firewood End Use Commercial	Final Demand
E5FWIND	Firewood End Use Industry	Final Demand
E5FWRES	Firewood End Use Residential	Final Demand
E5LGPCOM	LGP End Use Commercial	Final Demand
E5LPGIND	LPG End Use Industry	Final Demand
E5LPGRES	LPG End Use Residential	Final Demand
E5OFIND	Fuel Oil End Use Industry	Final Demand
E5PCIND	Petroleum Coke End Use Industry	Final Demand
E6TDAIR	Transport Demand Air	Final Demand
E6TDFREHEA	Transport Demand Freigth Heavy	Final Demand
E6TDFRELIG	Transport Demand Freigth Light	Final Demand
E6TDPASPRIV	Transport Demand Passenger Private	Final Demand
E6TDPASSPUB	Transport Demand Passenger Public	Final Demand
E6TDSPE	Transport Demand Special Equipment & Se	Final Demand
E6TRNOMOT	Transport Demand Passenger No Motorize	Final Demand
E6TRRIDSHA	Transport Demand Passenger Ride Sharing	Final Demand
ETFREIGHT	Cargo demand	Final Demand
ETPASSENGER	Passanger demand	Final Demand
E7DSL_Ag	Diesel for agriculture	Monitor_Agriculture
E7ELE_Ag	Electricity for Agriculture	Monitor_Agriculture
E7ELE_Co	Electricity for Commerce	Monitor_Commerce
E7ELE_Pb	Electricity for public service	Monitor_Commerce
E7FWO_Co	Wood for commerce	Monitor_Commerce
E7LPG_Co	LPG for commerce	Monitor_Commerce
E7DSL_HF	Diesel for light heavy transport	Monitor_FrieghtTransport
E7DSL_LF	Diesel for light freight transport	Monitor_FrieghtTransport
E7ELE_HF	Electricity for heavy freight transport	Monitor_FrieghtTransport
E7ELE_LF	Electricity for light freight transport	Monitor_FrieghtTransport
E7GSL_LF	Gasoline for light freight transport	Monitor_FrieghtTransport
E7HYD_HF	Hydrogen for heavy freight transport	Monitor_FrieghtTransport
E7LPG_HF	LPG for heavy freight transport	Monitor_FrieghtTransport
E7LPG_LF	LPG for light freight transport	Monitor_FrieghtTransport
E7BAG_In	Baggase for Industry	Monitor_Industry
E7BIO_In	Biomass for Industry	Monitor_Industry
E7COK_In	Coke for Industry	Monitor_Industry
E7DSL_In	Diesel for industry	Monitor_Industry
E7ELE_Ind	Electricity for Industry	Monitor_Industry
E7FOI_In	Fuel Oil for Industry	Monitor_Industry
E7FWO_In	Wood for industry	Monitor_Industry
E7LPG_In	LPG for industry	Monitor_Industry
E7BIO_El	Biomass for electricity	Monitor_Other
E7DSL_El	Diesel for electricity	Monitor_Other
E7DSL_Eq	Diesel for special equipment	Monitor_Other
E7FOI_El	Fuel oil for electricity	Monitor_Other
E7JFU_Ai	Jet fuel for aircraft	Monitor_Other
E7DSL_Pr	Diesel for private transport	Monitor_PrivateTransport
E7ELE_Pr	Electricity for private transport	Monitor_PrivateTransport
E7GSL_Pr	Gasoline for private transport	Monitor_PrivateTransport
E7LPG_Pr	LPG for private transport	Monitor_PrivateTransport
E7DSL_Pu	Diesel for public transport	Monitor_PublicTransport
E7ELE_Pu	Electricity for public transport	Monitor_PublicTransport
E7GSL_Pu	Gasoline for public transport	Monitor_PublicTransport
E7HYD_Pu	Hydrogen for public transport	Monitor_PublicTransport
E7LPG_Pu	LPG for public transport	Monitor_PublicTransport
E7ELE_Re	Electricity for Commerce	Monitor_Residencial
E7FWO_Re	Wood for residential	Monitor_Residencial
E7LPG_Re	LPG for residential	Monitor_Residencial
E8Fossil_HF	Demand Fossil Fuel Heavy Freight	Transport_Demands
E8Fossil_LF	Demand Fossil Fuel Light Freight	Transport_Demands
E8Fossil_pri	Demand Fossil Fuel Private	Transport_Demands
E8Fossil_pu	Demand Fossil Fuel Public	Transport_Demands
E8Fossil_RS	Demand Fossil Fuel RideSharing	Transport_Demands
E8LowCO2_HF	Demand Low Carbon Heavy Freight	Transport_Demands
E8LowCO2_LF	Demand Low Carbon Light Freight	Transport_Demands
E8LowCO2_pr	Demand Low Carbon Private	Transport_Demands
E8LowCO2_pu	Demand Low Carbon Public	Transport_Demands
E8LowCO2_RS	Demand Low Carbon RideSharing	Transport_Demands
E8NoMotor_B	Demand No motorize Bikes	Transport_Demands
E8NoMotor_W	Demand No motorize walk	Transport_Demands
E9ELESTOR_HF	Electricity storage for heavy freight	Storage
E9ELESTOR_LF	Electricity storage for light freight	Storage
E9ELESTOR_Pr	Electricity storage for private vehicle	Storage
E9ELESTOR_Pu	Electricity storage for public transpor	Storage
E9ELESTORAGE	Electricity storage	Storage
HYDROGEN	Hydrogen	Storage
E7BIKEWAYS	Bikeways infrastructure	Transport_Infraestructre
TIBIKEWAYS	Bikeways infrastructure	Transport_Infraestructre
TIRAILS	Rails infrastructerestrucre	Transport_Infraestructre
TIROADS	Roads infrastructure	Transport_Infraestructre
TISIDEWALKS	Sidewalks infrastructure	Transport_Infraestructre
E7BIKEWAYS	Bikeways infrastructure	Transport_Infraestructre
TIBIKEWAYS	Bikeways infrastructure	Transport_Infraestructre
TIRAILS	Rails infrastructerestrucre	Transport_Infraestructre
TIROADS	Roads infrastructure	Transport_Infraestructre
TISIDEWALKS	Sidewalks infrastructure	Transport_Infraestructre

A2. Technologies¶

The following table shows the technologies included in OSeMOSYS-CR.

Name	Description	Group
BACKSTOP_PS	Backup Power Systems	Backup
BACKSTOP_TS	Backup Transport Sector	Backup
BLENDDSL	Blend Diesel	Primary Sources
BLENDGAS	Blend Gasoline	Primary Sources
DIST_DSL	Distribution Diesel	Primary Sources
DIST_GSL	Distribution Gasoline	Primary Sources
DIST_LPG	Distribution LPG	Primary Sources
DIST_NG	Distribution Natural Gas	Primary Sources
ESIMPBIODSL	Importing biodiesel	Primary Sources
ESIMPDSL	Importing Diesel	Primary Sources
ESIMPETHAN	Importing ethanol	Primary Sources
ESIMPGAS	Importing Gasoline	Primary Sources
ESIMPJEFU	Importing Jet Fuel	Primary Sources
ESIMPLPG	Importing LPG	Primary Sources
ESIMPNG	Importing Natural Gas	Primary Sources
ESIMPOIFU	Importing Oil Fuel	Primary Sources
ESIMPPCO	Importing Petroleum Coke	Primary Sources
ESPROBIODSL	Production biodiesel	Primary Sources
ESPROBIOGAS	Production biogas	Primary Sources
ESPROETHAN	Production ethanol	Primary Sources
ESRNBIO	Biomass Resources	Primary Sources
ESRNFW	Fire wood Resources	Primary Sources
ESRNGEO	Renewable Resource Geothermal	Primary Sources
ESRNSUN	Renewable Resource Solar	Primary Sources
ESRNWAT	Renewable Resource Water	Primary Sources
ESRNWND	Renewable Resource Wind	Primary Sources
ESROMBIO	Organic Material Resources	Primary Sources
PPBIO001	Biomass Power Plant (existing)	Power Plants
PPBIO002	Biomass Power Plant (new)	Power Plants
PPDSL001	Diesel Power Plant (existing)	Power Plants
PPDSL002	Diesel Power Plant (new)	Power Plants
PPFOB001	Oil Power Plant (existing)	Power Plants
PPFOB002	Oil Power Plant (new)	Power Plants
PPGEO001	Geothermal Power Plant (existing)	Power Plants
PPGEO002	Geothermal Power Plant (new)	Power Plants
PPHDAM001	Hydro Dam Power Plant (existing)	Power Plants
PPHDAM002	Hydro Dam Power Plant (new)	Power Plants
PPHROR001	Hydro Run of River Power Plant (existing)	Power Plants
PPHROR002	Hydro Run of River Power Plant (new)	Power Plants
PPPVD001	Photovoltaic Power Plant Distribution (existing)	Power Plants
PPPVD002	Photovoltaic Power Plant Distribution (new)	Power Plants
PPPVT001	Photovoltaic Power Plant Transmission (existing)	Power Plants
PPPVT002	Photovoltaic Power Plant Transmission (new)	Power Plants
PPWND001	Wind Power Plant Distribution (existing)	Power Plants
PPWND002	Wind Power Plant Distribution (new)	Power Plants
PPWNT001	Wind Power Plant Transmission (existing)	Power Plants
PPWNT002	Wind Power Plant Transmission (new)	Power Plants
EDDISTAGR	Electric Power Distribution for Agriculture	Electricity Distribution
EDDISTCOM	Electric Power Distribution for Commercial	Electricity Distribution
EDDISTIND	Electric Power Distribution for Industry	Electricity Distribution
EDDISTPUB	Electric Power Distribution for Public	Electricity Distribution
EDDISTRES	Electric Power Distribution for Residential	Electricity Distribution
EDEBIOIND	Biomass Distribution Industry	Energy Distribution
EDEDSLAGR	Diesel Distribution Agriculture	Energy Distribution
EDEDSLIND	Diesel Distribution Industry	Energy Distribution
EDEFOIND	Fuel Oil Distribution Industry	Energy Distribution
EDEFWCOM	Firewood Distribution Commercial	Energy Distribution
EDEFWIND	Firewood Distribution Industry	Energy Distribution
EDEFWRES	Firewood Distribution Residential	Energy Distribution
EDEJFUAIR	Jet fuel oil Distribution air	Energy Distribution
EDELGPCOM	LGP Distribution Commercial	Energy Distribution
EDELPGIND	LPG Distribution Industry	Energy Distribution
EDELPGRES	LPG Distribution Residential	Energy Distribution
EDEPCIND	Petroleum Coke Distribution Industry	Energy Distribution
DDSL_Ag	Diesel for agriculture	Monitor_Agriculture
DELE_Ag	Electricity for agriculture	Monitor_Agriculture
DELE_Co	Electricity for commerce	Monitor_Commerce
DELE_Pb	Electricity for public service	Monitor_Commerce
DFWO_Co	Wood for commerce	Monitor_Commerce
DLPG_Co	LPG for commerce	Monitor_Commerce
DDSL_HF	Diesel for heavy freight transport	Monitor_FreightTransport
DDSL_LF	Diesel for light freigth transport	Monitor_FreightTransport
DELE_HF	Electricity for heavy freight transport	Monitor_FreightTransport
DELE_LF	Electricity for light freigth transport	Monitor_FreightTransport
DGSL_LF	Gasoline for light freigth transport	Monitor_FreightTransport
DHYD_HF	Hydrogen for heavy freight transport	Monitor_FreightTransport
DLPG_HF	LPG for heavy freight transport	Monitor_FreightTransport
DLPG_LF	LPG for light freight transport	Monitor_FreightTransport
DBIO_In	Biomass for industry	Monitor_Industry
DCOK_In	Coke for industry	Monitor_Industry
DDSL_In	Diesel for industry	Monitor_Industry
DELE_In	Electricity for industry	Monitor_Industry
DFOI_in	Fuel Oil for Industry	Monitor_Industry
DFWO_In	Wood for industry	Monitor_Industry
DLPG_In	LPG for industry	Monitor_Industry
DBIO_El	Biomass for electricity	Monitor_Others
DDSL_El	Diesel for electricity	Monitor_Others
DDSL_Eq	Diesel for equipment	Monitor_Others
DFOI_El	Fuel Oil for Electricity	Monitor_Others
DJEFU_Ai	Jet fuel air craft	Monitor_Others
DDSL_Pr	Diesel for private transport	Monitor_PrivateTransport
DELE_Pr	Electricity for Private Transport	Monitor_PrivateTransport
DGSL_Pr	Gasoline for private transport	Monitor_PrivateTransport
DLPG_Pr	LPG for private transport	Monitor_PrivateTransport
DDSL_Pu	Diesel for public transport	Monitor_PublicTransport
DELE_Pu	Electricity for Public Transport	Monitor_PublicTransport
DGSL_Pu	Gasoline for public transport	Monitor_PublicTransport
DHYD_Pu	Hydrogen for heavy public transport	Monitor_PublicTransport
DLPG_Pu	LPG for public transport	Monitor_PublicTransport
DELE_Re	Electricity for residencial	Monitor_Residential
DFWO_Re	Wood for residential	Monitor_Residential
DLPG_Re	LPG for residential	Monitor_Residential
TRFWDDSL01	Four-Wheel-Drive (existing)	Private Transport
TRFWDDSL02	Four-Wheel-Drive Diesel (new)	Private Transport
TRFWDELE02	Four-Wheel-Drive Electric (new)	Private Transport
TRFWDGAS01	Four-Wheel-Drive Gasoline (existing)	Private Transport
TRFWDGAS02	Four-Wheel-Drive Gasoline (new)	Private Transport
TRFWDHYBD02	Four-Wheel-Drive Hybrid Electric-Diesel (new)	Private Transport
TRFWDLPG01	Four-Wheel-Drive LPG (existing)	Private Transport
TRFWDLPG02	Four-Wheel-Drive LPG (new)	Private Transport
TRFWDPHYBD02	Four-Wheel-Drive Plug-in Hybrid Electric-Diesel(new)	Private Transport
TRLDDSL01	Light Duty Diesel (existing)	Private Transport
TRLDDSL02	Light Duty Diesel (new)	Private Transport
TRLDELE02	Light Duty Electric (new)	Private Transport
TRLDGAS01	Light Duty Gasoline (existing)	Private Transport
TRLDGAS02	Light Duty Gasoline (new)	Private Transport
TRLDHYBG02	Light Hybrid Electric-Gasoline (new)	Private Transport
TRLDPHYBG02	Light Plug-in Hybrid Electric-Gasoline (new)	Private Transport
TRMIVDSL01	Minivan Diesel (existing)	Private Transport
TRMIVDSL02	Minivan Diesel (new)	Private Transport
TRMIVELE02	Minivan Electric (new)	Private Transport
TRMIVGAS01	Minivan Gasoline (existing)	Private Transport
TRMIVGAS02	Minivan Gasoline (new)	Private Transport
TRMIVHYBD02	Minivan Hybrid Electric-Diesel (new)	Private Transport
TRMIVHYBG02	Minivan Hybrid Electric-Gasoline (new)	Private Transport
TRMIVLPG01	Minivan LPG (existing)	Private Transport
TRMIVLPG02	Minivan LPG (new)	Private Transport
TRMOTELC02	Motorcycle electric (new)	Private Transport
TRMOTGAS01	Motorcycle Gasoline (existing)	Private Transport
TRMOTGAS02	Motorcycle Gasoline (new)	Private Transport
TRBUSDSL01	Bus Diesel (existing)	Public Transport
TRBUSDSL02	Bus Diesel (new)	Public Transport
TRBUSELC02	Bus Electric (new)	Public Transport
TRBUSHYBD02	Bus Hybrid Electric-Diesel (new)	Public Transport
TRBUSHYD02	Bus Hydrogen (new)	Public Transport
TRBUSLPG02	Bus LPG (new)	Public Transport
TRMBUSDSL01	Microbus Diesel (existing)	Public Transport
TRMBUSDSL02	Microbus Diesel (new)	Public Transport
TRMBUSELE02	Microbus Electric (new)	Public Transport
TRMBUSHYBD02	Microbus Hybrid Electric-Diesel (new)	Public Transport
TRMBUSHYD02	Microbus Hydrogen (new)	Public Transport
TRMBUSLPG02	Microbus LPG (new)	Public Transport
TRTAXDSL01	Taxi Diesel (existing)	Public Transport
TRTAXDSL02	Taxi Diesel (new)	Public Transport
TRTAXELC02	Taxi Electric (new)	Public Transport
TRTAXGAS01	Taxi Gasoline (existing)	Public Transport
TRTAXGAS02	Taxi Gasoline (new)	Public Transport
TRTAXHYBD02	Taxi Hybrid Electric-Diesel (new)	Public Transport
TRTAXHYBG02	Taxi Hybrid Electric-Gasoline (new)	Public Transport
TRTAXLPG01	Taxi LPG (existing)	Public Transport
TRTAXLPG02	Taxi LPG (new)	Public Transport
TRYLFDSL01	Mini Trucks (existing)	Freight Transport
TRYLFDSL02	Mini Trucks Diesel (new)	Freight Transport
TRYLFELE02	Mini Trucks Electric (new)	Freight Transport
TRYLFGAS01	Mini Trucks Gasoline (existing)	Freight Transport
TRYLFGAS02	Mini Trucks Gasoline (new)	Freight Transport
TRYLFHYBD02	Mini Trucks Hybrid Electric-Diesel (new)	Freight Transport
TRYLFHYBG02	Mini Trucks Electric-Gasoline (new)	Freight Transport
TRYLFLPG01	Mini Trucks LPG (existing)	Freight Transport
TRYLFLPG02	Mini Trucks LPG (new)	Freight Transport
TRYTKDSL01	Trucks Diesel (existing)	Freight Transport
TRYTKDSL02	Trucks Diesel (new)	Freight Transport
TRYTKELC02	Trucks Electric (new)	Freight Transport
TRYTKHYBD02	Trucks Hybrid Electric-Diesel (new)	Freight Transport
TRYTKHYD02	Trucks Hydrogen (new)	Freight Transport
TRYTKLPG02	Trucks LPG (new)	Freight Transport
DIST_HYD	Distribution Hydrogen	Hydrogen
PROD_HYD_CH4	Production hydrogen CH4	Hydrogen
PROD_HYD_H20	Production hydrogen H2O	Hydrogen
TRANOMOTBike	No motorized transport bikes	No Motorized Transport
TRANOMOTWalk	No motorized transport bikes	No Motorized Transport
TRXTRAINDSL01	Train Diesel (existing)	Railroad
TRXTRAINDSL02	Train Diesel (new)	Railroad
TRXTRAINELC02	Train Electric (new)	Railroad
TRZAIR001	Air (existing)	Special Transport
TRZSEQ001	Special Equipment & Sea (existing)	Special Transport
TDDIST01	Electricity Distribution (existing)	T&D Systems
TDDIST02	Electricity Distribution (new)	T&D Systems
TDMEREL01	Imports of electricity	T&D Systems
TDMEREL02	Exports of electricity	T&D Systems
TDTRANS01	Electricity Transmission (existing)	T&D Systems
TDTRANS02	Electricity Transmission (new)	T&D Systems
DTRFF_hf	Transport distribution demand fossil fuel heavy cargo	Transport_Distribution
DTRFF_lf	Transport distribution demand fossil fuel light cargo	Transport_Distribution
DTRFF_pr	Transport distribution demand fossil fuel private	Transport_Distribution
DTRFF_pu	Transport distribution demand fossil fuel public	Transport_Distribution
DTRFF_rs	Transport distribution demand fossil fuel ride sharing	Transport_Distribution
DTRLC_hf	Transport distribution demand Low carbon heavy cargo	Transport_Distribution
DTRLC_lf	Transport distribution demand Low carbon light cargo	Transport_Distribution
DTRLC_pr	Transport distribution demand Low carbon private	Transport_Distribution
DTRLC_pu	Transport distribution demand Low carbon public	Transport_Distribution
DTRLC_rs	Transport distribution demand Low carbon ride sharing	Transport_Distribution
DTRNM_Bk	Transport distribution demand Bikes	Transport_Distribution
DTRNM_Wk	Transport distribution demand Walks	Transport_Distribution
TI_BW_01	Bikeway (existing)	Transport_Infraestructure
TI_BW_02	Bikeway (new)	Transport_Infraestructure
TI_RaRo_01	Railroad (existing)	Transport_Infraestructure
TI_RaRo_02	Railroad (new)	Transport_Infraestructure
TI_RoNet_01	Road network (existing)	Transport_Infraestructure
TI_RoNet_02	Road network (new)	Transport_Infraestructure
TI_SW_01	Sidewalk (existing)	Transport_Infraestructure
TI_SW_02	Sidewalk (new)	Transport_Infraestructure

Power Plants¶

Biomass Power Plant (existing)¶


Set codification:		PPBIO001
Description:		Biomass Power Plant (existing)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapacityFactor[r,t,l,y] (Dry)	%	0.317	0.317	0.317	0.317
CapacityFactor[r,t,l,y] (Rain)	%	0.317	0.317	0.317	0.317
FixedCost[r,t,y]	M$/GW	44.5	44.5	44.5	44.5
OperationalLife[r,t]	Years	25	25	25	25
OutputActivityRatio[r,t,f,m,y] (Electricity Supply by Plants)	PJ/PJ	1	1	1	1
ResidualCapacity[r,t,y]	GW	0.03	0.03	0.03	0.03
TotalAnnualMaxCapacity[r,t,y]	GW	0.03	0.03	0.03	0.03
VariableCost[r,t,m,y]	M$/PJ	0.001	0.001	0.001	0.001

CapacityFactor[r,t,l,y]¶

The equation (1) shows the Capacity Factor for PPBIO001, for every scenario and season.

CapacityFactor=0.317% (1)

FixedCost[r,t,y]¶

The equation (2) shows the Fixed Cost for PPBIO001, for every scenario.

FixedCost=44.5 [M$/GW] (2)

OperationalLife[r,t]¶

The equation (3) shows the Operational Life for PPBIO001, for every scenario.

OperationalLife=25 Years (3)

OutputActivityRatio[r,t,f,m,y]¶

The equation (4) shows the Output Activity Ratio for PPBIO001, for every scenario and associated to the fuel Electricity Supply by Plants.

OutputActivityRatio=1 [PJ/PJ] (4)

ResidualCapacity[r,t,y]¶

The equation (5) shows the Residual Capacity for PPBIO001, for every scenario.

ResidualCapacity=0.03 [GW] (5)

TotalAnnualMaxCapacity[r,t,y]¶

The equation (6) shows the Total Annual Max Capacity for PPBIO001, for every scenario.

TotalAnnualMaxCapacity=0.03 [GW] (6)

VariableCost[r,t,m,y]¶

The equation (7) shows the Variable Cost for PPBIO001, for every scenario.

VariableCost=0.001 [M$/PJ] (7)

Biomass Power Plant (new)¶


Set codification:		PPBIO002
Description:		Biomass Power Plant (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapacityFactor[r,t,l,y] (Dry)	%	0.75	0.75	0.75	0.75
CapacityFactor[r,t,l,y] (Rain)	%	0.317	0.317	0.317	0.317
CapitalCost[r,t,y]	M$/GW	2463.28	2463.28	2463.28	2463.28
FixedCost[r,t,y]	M$/GW	44.5	44.5	44.5	44.5
OperationalLife[r,t]	Years	25	25	25	25
OutputActivityRatio[r,t,f,m,y] (Electricity Supply by Plants)	PJ/PJ	1	1	1	1
TotalAnnualMaxCapacity[r,t,y]	GW	0	0.0115	0.0308	0.05
VariableCost[r,t,m,y]	M$/PJ	0.001	0.001	0.001	0.001

CapacityFactor[r,t,l,y]¶

The equation (1) shows the Capacity Factor for PPBIO002, for every scenario and season.

CapacityFactor=0.75% (1)

CapitalCost[r,t,y]¶

The equation (2) shows the Capital Cost for PPBIO002, for every scenario.

CapitalCost=2463.28 [M$/GW] (2)

FixedCost[r,t,y]¶

The equation (3) shows the Fixed Cost for PPBIO002, for every scenario.

FixedCost=44.5 [M$/GW] (3)

OperationalLife[r,t]¶

The equation (4) shows the Operational Life for PPBIO002, for every scenario.

OperationalLife=25 Years (4)

OutputActivityRatio[r,t,f,m,y]¶

The equation (5) shows the Output Activity Ratio for PPBIO002, for every scenario and associated to the fuel Electricity Supply by Plants.

OutputActivityRatio=1 [PJ/PJ] (5)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 1 shows the Total Annual Max Capacity for PPBIO002, for every scenario.

_images/TotalAnnualMaxCapacity_PPBIO002.png

Figure 1) Total Annual Max Capacity for PPBIO002. .¶

VariableCost[r,t,m,y]¶

The equation (6) shows the Variable Cost for PPBIO002, for every scenario.

VariableCost=0.001 [M$/PJ] (6)

Diesel Power Plant (existing)¶


Set codification:		PPDSL001
Description:		Diesel Power Plant (existing)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapacityFactor[r,t,l,y] (Dry)	%	0.034	0.034	0.034	0.034
CapacityFactor[r,t,l,y] (Rain)	%	0.034	0.034	0.034	0.034
FixedCost[r,t,y]	M$/GW	44.5	44.5	44.5	44.5
InputActivityRatio[r,t,f,m,y] (Diesel)	PJ/PJ	2.85	2.85	2.85	2.85
OperationalLife[r,t]	Years	30	30	30	30
OutputActivityRatio[r,t,f,m,y] (Electricity Supply by Plants)	PJ/PJ	1	1	1	1
ResidualCapacity[r,t,y]	GW	0.381	0.381	0.381	0.381
TotalAnnualMaxCapacity[r,t,y]	GW	0.381	0.381	0.381	0.381
VariableCost[r,t,m,y]	M$/PJ	1.3	1.3	1.3	1.3

CapacityFactor[r,t,l,y]¶

The equation (1) shows the Capacity Factor for PPDSL001, for every scenario and season.

CapacityFactor=0.034% (1)

FixedCost[r,t,y]¶

The equation (2) shows the Fixed Cost for PPDSL001, for every scenario.

FixedCost=44.5 [M$/GW] (2)

InputActivityRatio[r,t,f,m,y]¶

The equation (3) shows the Input Activity Ratio for PPDSL001, for every scenario and associated to the fuel Diesel.

InputActivityRatio=2.85 [PJ/PJ] (3)

OperationalLife[r,t]¶

The equation (4) shows the Operational Life for PPDSL001, for every scenario.

OperationalLife=30 Years (4)

OutputActivityRatio[r,t,f,m,y]¶

The equation (5) shows the Output Activity Ratio for PPDSL001, for every scenario and associated to the fuel Electricity Supply by Plants.

OutputActivityRatio=1 [PJ/PJ] (5)

ResidualCapacity[r,t,y]¶

The equation (6) shows the Residual Capacity for PPDSL001, for every scenario.

ResidualCapacity=0.381 [GW] (6)

TotalAnnualMaxCapacity[r,t,y]¶

The equation (7) shows the Total Annual Max Capacity for PPDSL001, for every scenario.

TotalAnnualMaxCapacity=0.381 [GW] (7)

VariableCost[r,t,m,y]¶

The equation (8) shows the Variable Cost for PPDSL001, for every scenario.

VariableCost=1.3 [M%/PJ] (8)

Diesel Power Plant (new)¶


Set codification:		PPDSL002
Description:		Diesel Power Plant (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapacityFactor[r,t,l,y] (Dry)	%	0.034	0.034	0.034	0.034
CapacityFactor[r,t,l,y] (Rain)	%	0.034	0.034	0.034	0.034
CapitalCost[r,t,y]	M$/GW	1269.78	1269.78	1269.78	1269.78
FixedCost[r,t,y]	M$/GW	44.5	44.5	44.5	44.5
InputActivityRatio[r,t,f,m,y] (Diesel)	PJ/PJ	2.5	2.5	2.5	2.5
OperationalLife[r,t]	Years	30	30	30	30
OutputActivityRatio[r,t,f,m,y] (Electricity Supply by Plants)	PJ/PJ	1	1	1	1
VariableCost[r,t,m,y]	M$/PJ	1.3	1.3	1.3	1.3

CapacityFactor[r,t,l,y]¶

The equation (1) shows the Capacity Factor for PPDSL002, for every scenario and season.

CapacityFactor=0.034% (1)

CapitalCost[r,t,y]¶

The equation (2) shows the Capital Cost for PPDSL002, for every scenario.

CapitalCost=1269.78 [M$/GW] (2)

FixedCost[r,t,y]¶

The equation (3) shows the Fixed Cost for PPDSL002, for every scenario.

FixedCost=44.5 [M$/GW] (3)

InputActivityRatio[r,t,f,m,y]¶

The equation (4) shows the Input Activity Ratio for PPDSL002, for every scenario and associated to the fuel Diesel.

InputActivityRatio=2.5 [PJ/PJ] (4)

OperationalLife[r,t]¶

The equation (5) shows the Operational Life for PPDSL002, for every scenario.

OperationalLife=30 Years (5)

OutputActivityRatio[r,t,f,m,y]¶

The equation (6) shows the Output Activity Ratio for PPDSL002, for every scenario and associated to the fuel Electricity Supply by Plants.

OutputActivityRatio=1 [PJ/PJ] (6)

VariableCost[r,t,m,y]¶

The equation (7) shows the Variable Cost for PPDSL002, for every scenario.

VariableCost=1.3 [M$/PJ] (7)

Oil Power Plant (existing)¶


Set codification:		PPFOB001
Description:		Oil Power Plant (existing)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapacityFactor[r,t,l,y] (Dry)	%	0.034	0.034	0.034	0.034
CapacityFactor[r,t,l,y] (Rain)	%	0.034	0.034	0.034	0.034
FixedCost[r,t,y]	M$/GW	44.5	44.5	44.5	44.5
InputActivityRatio[r,t,f,m,y] (Fuel Oil)	PJ/PJ	2.85	2.85	2.85	2.85
OperationalLife[r,t]	Years	30	30	30	30
OutputActivityRatio[r,t,f,m,y] (Electricity Supply by Plants)	PJ/PJ	1	1	1	1
ResidualCapacity[r,t,y]	GW	0.214	0.214	0.214	0.214
TotalAnnualMaxCapacity[r,t,y]	GW	0.214	0.214	0.214	0.214
VariableCost[r,t,m,y]	M$/PJ	1.3	1.3	1.3	1.3

CapacityFactor[r,t,l,y]¶

The equation (1) shows the Capacity Factor for PPFOB001, for every scenario and season.

CapacityFactor=0.034% (1)

FixedCost[r,t,y]¶

The equation (2) shows the Fixed Cost for PPFOB001, for every scenario.

FixedCost=44.5 [M$/GW] (2)

InputActivityRatio[r,t,f,m,y]¶

The equation (3) shows the Input Activity Ratio for PPFOB001, for every scenario and associated to the fuel Fuel Oil.

InputActivityRatio=2.85 [PJ/PJ] (3)

OperationalLife[r,t]¶

The equation (4) shows the Operational Life for PPFOB001, for every scenario.

OperationalLife=30 Years (4)

OutputActivityRatio[r,t,f,m,y]¶

The equation (5) shows the Output Activity Ratio for PPFOB001, for every scenario and associated to the fuel Electricity Supply by Plants.

OutputActivityRatio=1 [PJ/PJ] (5)

ResidualCapacity[r,t,y]¶

The equation (6) shows the Residual Capacity for PPFOB001, for every scenario.

ResidualCapacity=0.214 [GW] (6)

TotalAnnualMaxCapacity[r,t,y]¶

The equation (7) shows the Total Annual Max Capacity for PPFOB001, for every scenario.

TotalAnnualMaxCapacity=0.214 [GW] (7)

VariableCost[r,t,m,y]¶

The equation (8) shows the Variable Cost for PPFOB001, for every scenario.

VariableCost=1.3 [M$/PJ] (8)

Oil Power Plant (new)¶


Set codification:		PPFOB002
Description:		Oil Power Plant (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapacityFactor[r,t,l,y] (Dry)	%	0.034	0.034	0.034	0.034
CapacityFactor[r,t,l,y] (Rain)	%	0.034	0.034	0.034	0.034
CapitalCost[r,t,y]	M$/GW	4650.33	4650.33	4650.33	4650.33
FixedCost[r,t,y]	M$/GW	44.5	44.5	44.5	44.5
InputActivityRatio[r,t,f,m,y] (Fuel Oil)	PJ/PJ	2.5	2.5	2.5	2.5
OperationalLife[r,t]	Years	30	30	30	30
OutputActivityRatio[r,t,f,m,y] (Electricity Supply by Plants)	PJ/PJ	1	1	1	1
VariableCost[r,t,m,y]	M$/PJ	1.3	1.3	1.3	1.3

CapacityFactor[r,t,l,y]¶

The equation (1) shows the Capacity Factor for PPFOB002, for every scenario and season.

CapacityFactor=0.034% (1)

CapitalCost[r,t,y]¶

The equation (2) shows the Capital Cost for PPFOB002, for every scenario.

CapitalCost=4650.33 [M$/GW] (2)

FixedCost[r,t,y]¶

The equation (3) shows the Fixed Cost for PPFOB002, for every scenario.

FixedCost=44.5 [M$/GW] (3)

InputActivityRatio[r,t,f,m,y]¶

The equation (4) shows the Input Activity Ratio for PPFOB002, for every scenario and associated to the fuel Fuel Oil.

InputActivityRatio=2.5 [PJ/PJ] (4)

OperationalLife[r,t]¶

The equation (5) shows the Operational Life for PPFOB002, for every scenario.

OperationalLife=30 Years (5)

OutputActivityRatio[r,t,f,m,y]¶

The equation (6) shows the Output Activity Ratio for PPFOB002, for every scenario and associated to the fuel Electricity Supply by Plants.

OutputActivityRatio=1 [PJ/PJ] (6)

VariableCost[r,t,m,y]¶

The equation (7) shows the Variable Cost for PPFOB002, for every scenario.

VariableCost=1.3 [M$/PJ] (7)

Geothermal Power Plant (existing)¶


Set codification:		PPGEO001
Description:		Geothermal Power Plant (existing)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapacityFactor[r,t,l,y] (Dry)	%	0.634	0.89	0.89	0.89
CapacityFactor[r,t,l,y] (Rain)	%	0.634	0.89	0.89	0.89
FixedCost[r,t,y]	M$/GW	44.5	44.5	44.5	44.5
InputActivityRatio[r,t,f,m,y] (Geothermal energy)	PJ/PJ	1	1	1	1
OperationalLife[r,t]	Years	40	40	40	40
OutputActivityRatio[r,t,f,m,y] (Electricity Supply by Plants)	PJ/PJ	1	1	1	1
ResidualCapacity[r,t,y]	GW	0.206	0.206	0.206	0.206
TotalAnnualMaxCapacity[r,t,y]	GW	0.206	0.206	0.206	0.206
VariableCost[r,t,m,y]	M$/PJ	0.001	0.001	0.001	0.001

CapacityFactor[r,t,l,y]¶

The equation (1) shows the Capacity Factor for PPGEO001, for every scenario and season.

Figure 1) Capacity Factor for PPGEO001. .¶

FixedCost[r,t,y]¶

The equation (1) shows the Fixed Cost for PPGEO001, for every scenario.

FixedCost=44.5 [M$/GW] (1)

InputActivityRatio[r,t,f,m,y]¶

The equation (2) shows the Input Activity Ratio for PPGEO001, for every scenario and associated to the fuel Geothermal Energy.

InputActivityRatio=2.85 [PJ/PJ] (2)

OperationalLife[r,t]¶

The equation (3) shows the Operational Life for PPGEO001, for every scenario.

OperationalLife=40 Years (3)

OutputActivityRatio[r,t,f,m,y]¶

The equation (4) shows the Output Activity Ratio for PPGEO001, for every scenario and associated to the fuel Electricity Supply by Plants.

OutputActivityRatio=1 [PJ/PJ] (4)

ResidualCapacity[r,t,y]¶

The equation (5) shows the Residual Capacity for PPGEO001, for every scenario.

ResidualCapacity=0.206 [GW] (5)

TotalAnnualMaxCapacity[r,t,y]¶

The equation (6) shows the Total Annual Max Capacity for PPGEO001, for every scenario.

TotalAnnualMaxCapacity=0.206 [GW] (6)

VariableCost[r,t,m,y]¶

The equation (7) shows the Variable Cost for PPGEO001, for every scenario.

VariableCost=0.001 [M$/PJ] (7)

Geothermal Power Plant (new)¶


Set codification:		PPGEO002
Description:		Geothermal Power Plant (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapacityFactor[r,t,l,y] (Dry)	%	0.634	0.89	0.89	0.89
CapacityFactor[r,t,l,y] (Rain)	%	0.634	0.89	0.89	0.89
CapitalCost[r,t,y]	M$/GW	7828.28	7828.28	7828.28	7828.28
FixedCost[r,t,y]	M$/GW	44.5	44.5	44.5	44.5
InputActivityRatio[r,t,f,m,y] (Geothermal energy)	PJ/PJ	1	1	1	1
OperationalLife[r,t]	Years	40	40	40	40
OutputActivityRatio[r,t,f,m,y] (Electricity Supply by Plants)	PJ/PJ	1	1	1	1
TotalAnnualMaxCapacity[r,t,y]	GW	0.2	0.2	0.35	0.5
TotalAnnualMinCapacityInvestment[r,t,y]	GW	0	0.055	0	0
VariableCost[r,t,m,y]	M$/PJ	0.001	0.001	0.001	0.001

CapacityFactor[r,t,l,y]¶

The figure 1 shows the Capacity Factor for PPGEO002, for every scenario and season.

Figure 1) Capacity Factor for PPGEO002. .¶

CapitalCost[r,t,y]¶

The equation (1) shows the Capital Cost for PPGEO002, for every scenario.

CapitalCost=7828.28 [M$/GW] (1)

FixedCost[r,t,y]¶

The equation (2) shows the Fixed Cost for PPGEO002, for every scenario.

FixedCost=44.5 [M$/GW] (2)

InputActivityRatio[r,t,f,m,y]¶

The equation (3) shows the Input Activity Ratio for PPGEO002, for every scenario and associated to the fuel Geothermal Energy.

InputActivityRatio=1 [PJ/PJ] (3)

OperationalLife[r,t]¶

The equation (4) shows the Operational Life for PPGEO002, for every scenario.

OperationalLife=40 Years (4)

OutputActivityRatio[r,t,f,m,y]¶

The equation (5) shows the Output Activity Ratio for PPGEO002, for every scenario and associated to the fuel Electricity Supply by Plants.

OutputActivityRatio=1 [PJ/PJ] (5)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 2 shows the Total Annual Max Capacity for PPGEO002, for every scenario.

_images/TotalAnnualMaxCapacity_PPGEO002.png

Figure 2) Total Annual Max Capacity for PPGEO002. .¶

TotalAnnualMinCapacityInvestment[r,t,y]¶

The figure 3 show the Total Annual Min Capacity Investment for PPGEO002, for every scenario.

_images/PPGEO002_TotalAnnualMinCapacityInvestment.png

Figure 3) Total Annual Min Capacity Investment for PPGEO002. .¶

VariableCost[r,t,m,y]¶

The equation (6) shows the Variable Cost for PPGEO002, for every scenario.

VariableCost=0.001 [M$/PJ] (6)

Hydro Dam Power Plant (existing)¶


Set codification:		PPHDAM001
Description:		Hydro Dam Power Plant (existing)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapacityFactor[r,t,l,y] (Dry)	%	0.4374	0.6	0.6	0.6
CapacityFactor[r,t,l,y] (Rain)	%	0.4374	0.6	0.6	0.6
FixedCost[r,t,y]	M$/GW	47.9	47.9	47.9	47.9
InputActivityRatio[r,t,f,m,y] (Hydraulic energy)	PJ/PJ	1	1	1	1
OperationalLife[r,t]	Years	80	80	80	80
OutputActivityRatio[r,t,f,m,y] (Electricity Supply by Plants)	PJ/PJ	1	1	1	1
ResidualCapacity[r,t,y]	GW	1.13	1.13	1.13	1.13
TotalAnnualMaxCapacity[r,t,y]	GW	1.13	1.13	1.13	1.13
VariableCost[r,t,m,y]	M$/PJ	0.001	0.001	0.001	0.001

CapacityFactor[r,t,l,y]¶

The figure 1 shows the Capacity Factor for PPHDAM001, for every scenario and season.

Figure 1) Capacity Factor for PPHDAM001. .¶

FixedCost[r,t,y]¶

The equation (1) shows the Fixed Cost for PPHDAM001, for every scenario.

FixedCost=47.9 [M$/GW] (1)

InputActivityRatio[r,t,f,m,y]¶

The equation (2) shows the Input Activity Ratio for PPHDAM001, for every scenario and associated to the fuel Hydraulic Energy.

InputActivityRatio=2.85 [PJ/PJ] (2)

OperationalLife[r,t]¶

The equation (3) shows the Operational Life for PPHDAM001, for every scenario.

OperationalLife=80 Years (3)

OutputActivityRatio[r,t,f,m,y]¶

The equation (4) shows the Output Activity Ratio for PPHDAM001, for every scenario and associated to the fuel Electricity Supply by Plants.

OutputActivityRatio=1 [PJ/PJ] (4)

ResidualCapacity[r,t,y]¶

The equation (5) shows the Residual Capacity for PPHDAM001, for every scenario.

ResidualCapacity=1.13 [GW] (5)

TotalAnnualMaxCapacity[r,t,y]¶

The equation (6) shows the Total Annual Max Capacity for PPHDAM001, for every scenario.

TotalAnnualMaxCapacity=1.13 [GW] (6)

VariableCost[r,t,m,y]¶

The equation (7) shows the Variable Cost for PPHDAM001, for every scenario.

VariableCost=0.001 [M$/PJ] (7)

Hydro Dam Power Plant (new)¶


Set codification:		PPHDAM002
Description:		Hydro Dam Power Plant (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapacityFactor[r,t,l,y] (Dry)	%	0.4374	0.6	0.6	0.6
CapacityFactor[r,t,l,y] (Rain)	%	0.4374	0.6	0.6	0.6
CapitalCost[r,t,y]	M$/GW	8241.97	8241.97	8241.97	8241.97
FixedCost[r,t,y]	M$/GW	47.9	47.9	47.9	47.9
InputActivityRatio[r,t,f,m,y] (Hydraulic energy)	PJ/PJ	1	1	1	1
OperationalLife[r,t]	Years	80	80	80	80
OutputActivityRatio[r,t,f,m,y] (Electricity Supply by Plants)	PJ/PJ	1	1	1	1
VariableCost[r,t,m,y]	M$/PJ	0.001	0.001	0.001	0.001

CapacityFactor[r,t,l,y]¶

The figure 1 shows the Capacity Factor for PPHDAM002, for every scenario and season.

Figure 1) Capacity Factor for PPHDAM001. .¶

CapitalCost[r,t,y]¶

The equation (1) shows the Capital Cost for PPHDAM002, para todos los escenarios.

CapitalCost=8241.97 [M$/GW] (1)

FixedCost[r,t,y]¶

The equation (2) shows the Fixed Cost for PPHDAM002, for every scenario.

FixedCost=47.9 [M$/GW] (2)

InputActivityRatio[r,t,f,m,y]¶

The equation (3) shows the Input Activity Ratio for PPHDAM002, for every scenario and associated to the fuel Hydraulic Energy.

InputActivityRatio=1 [PJ/PJ] (3)

OperationalLife[r,t]¶

The equation (4) shows the Operational Life for PPHDAM002, for every scenario.

OperationalLife=80 Years (4)

OutputActivityRatio[r,t,f,m,y]¶

The equation (5) shows the Output Activity Ratio for PPHDAM002, for every scenario and associated to the fuel Electricity Supply by Plants.

OutputActivityRatio=1 [PJ/PJ] (5)

VariableCost[r,t,m,y]¶

The equation (6) shows the Variable Cost for PPHROR002, for every scenario.

VariableCost=0.001 [M$/PJ] (6)

Hydro Run of River Power Plant (existing)¶


Set codification:		PPHROR001
Description:		Hydro Run of River Power Plant (existing)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapacityFactor[r,t,l,y] (Dry)	%	0.4966	0.6	0.6	0.6
CapacityFactor[r,t,l,y] (Rain)	%	0.4966	0.6	0.6	0.6
FixedCost[r,t,y]	M$/GW	47.9	47.9	47.9	47.9
InputActivityRatio[r,t,f,m,y] (Hydraulic energy)	PJ/PJ	1	1	1	1
OperationalLife[r,t]	Years	60	60	60	60
OutputActivityRatio[r,t,f,m,y] (Electricity Supply by Plants)	PJ/PJ	1	1	1	1
ResidualCapacity[r,t,y]	GW	1.21	1.21	1.21	1.21
TotalAnnualMaxCapacity[r,t,y]	GW	1.21	1.21	1.21	1.21
VariableCost[r,t,m,y]	M$/PJ	0.001	0.001	0.001	0.001

CapacityFactor[r,t,l,y]¶

The figure 1 shows the Capacity Factor for PPHROR001, for every scenario and season.

Figure 1) Capacity Factor for PPHROR001. .¶

FixedCost[r,t,y]¶

The equation (1) shows the Fixed Cost for PPHROR001, for every scenario.

FixedCost=47.9 [M$/GW] (1)

InputActivityRatio[r,t,f,m,y]¶

The equation (2) shows the Input Activity Ratio for PPHROR001, for every scenario and associated to the fuel Hydraulic Energy.

InputActivityRatio=1 [PJ/PJ] (2)

OperationalLife[r,t]¶

The equation (3) shows the Operational Life for PPHROR001, for every scenario.

OperationalLife=60 Years (3)

OutputActivityRatio[r,t,f,m,y]¶

The equation (4) shows the Output Activity Ratio for PPHROR001, for every scenario and associated to the fuel Electricity Supply by Plants.

OutputActivityRatio=1 [PJ/PJ] (4)

ResidualCapacity[r,t,y]¶

The equation (5) shows the Residual Capacity for PPHROR001, for every scenario.

ResidualCapacity=1.21 [GW] (5)

TotalAnnualMaxCapacity[r,t,y]¶

The equation (6) shows the Total Annual Max Capacity for PPHROR001, for every scenario.

TotalAnnualMaxCapacity=1.21 [GW] (6)

VariableCost[r,t,m,y]¶

The equation (7) shows the Variable Cost for PPHROR001, for every scenario.

VariableCost=0.001 [M$/PJ] (7)

Hydro Run of River Power Plant (new)¶


Set codification:		PPHROR002
Description:		Hydro Run of River Power Plant (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapacityFactor[r,t,l,y] (Dry)	%	0.4966	0.6	0.6	0.6
CapacityFactor[r,t,l,y] (Rain)	%	0.4966	0.6	0.6	0.6
CapitalCost[r,t,y]	M$/GW	4385.15	4385.15	4385.15	4385.15
FixedCost[r,t,y]	M$/GW	47.9	47.9	47.9	47.9
InputActivityRatio[r,t,f,m,y] (Hydraulic energy)	PJ/PJ	1	1	1	1
OperationalLife[r,t]	Years	60	60	60	60
OutputActivityRatio[r,t,f,m,y] (Electricity Supply by Plants)	PJ/PJ	1	1	1	1
TotalAnnualMaxCapacity[r,t,y]	GW	0.02	0.08	0.14	0.2
TotalAnnualMinCapacityInvestment[r,t,y]	GW	0.019	0	0	0
VariableCost[r,t,m,y]	M$/PJ	0.001	0.001	0.001	0.001

CapacityFactor[r,t,l,y]¶

The figure 1 shows the Capacity Factor for PPHROR002, for every scenario and season.

Figure 1) Capacity Factor for PPHROR002..¶

CapitalCost[r,t,y]¶

The equation (1) shows the Capital Cost for PPHROR002, para todos los escenarios.

CapitalCost=4385.15 [M$/GW] (1)

FixedCost[r,t,y]¶

The equation (2) shows the Fixed Cost for PPHROR002, for every scenario.

FixedCost=47.9 [M$/GW] (2)

InputActivityRatio[r,t,f,m,y]¶

The equation (3) shows the Input Activity Ratio for PPHROR002, for every scenario and associated to the fuel Hydraulic Energy.

InputActivityRatio=1 [PJ/PJ] (3)

OperationalLife[r,t]¶

The equation (4) shows the Operational Life for PPHROR002, for every scenario.

OperationalLife=60 Years (4)

OutputActivityRatio[r,t,f,m,y]¶

The equation (5) shows the Output Activity Ratio for PPHROR002, for every scenario and associated to the fuel Electricity Supply by Plants.

OutputActivityRatio=1 [PJ/PJ] (5)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 2 shows the Total Annual Max Capacity for PPHROR002, for every scenario.

_images/TotalAnnualMaxCapacity_PPHROR002.png

Figure 2) Total Annual Max Capacity for PPHROR002. .¶

TotalAnnualMinCapacityInvestment[r,t,y]¶

The figure 3 shows the Total Annual Min Capacity Investment for PPHROR002, for every scenario.

_images/PPHROR002_TotalAnnualMinCapacityInvestment.png

Figure 3) Total Annual Min Capacity Investment for PPHROR002. .¶

VariableCost[r,t,m,y]¶

The equation (6) shows the Variable Cost for PPHROR002, for every scenario.

VariableCost=0.001 [M$/PJ] (6)

Photovoltaic Power Plant Distribution (new)¶


Set codification:		PPPVD002
Description:		Photovoltaic Power Plant Distribution (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapacityFactor[r,t,l,y] (Dry)	%	0.227	0.227	0.227	0.227
CapacityFactor[r,t,l,y] (Rain)	%	0.227	0.227	0.227	0.227
CapitalCost[r,t,y]	M$/GW	1784.5	1553.5	1553.5	1553.5
FixedCost[r,t,y]	M$/GW	15.6	15.6	15.6	15.6
InputActivityRatio[r,t,f,m,y] (Solar energy)	PJ/PJ	1	1	1	1
OperationalLife[r,t]	Years	20	20	20	20
OutputActivityRatio[r,t,f,m,y] (Electricity For Transmission)	PJ/PJ	1	1	1	1
TotalAnnualMaxCapacity[r,t,y]	GW	0.1	0.3	1.659	3
VariableCost[r,t,m,y]	M$/PJ	0.001	0.001	0.001	0.001

CapacityFactor[r,t,l,y]¶

The equation (1) shows the Capacity Factor for PPPVD002, for every scenario and season.

CapacityFactor=0.227% (1)

CapitalCost[r,t,y]¶

The figure 1 shows the Capital Cost for PPPVD002, for every scenario.

Figure 1) Capital Cost for PPPVD002. .¶

FixedCost[r,t,y]¶

The equation (2) shows the Fixed Cost for PPPVD002, for every scenario.

FixedCost=15.6 [M$/GW] (2)

InputActivityRatio[r,t,f,m,y]¶

The equation (3) shows the Input Activity Ratio for PPPVD002, for every scenario and associated to the fuel Solar Energy.

InputActivityRatio=1 [PJ/PJ] (3)

OperationalLife[r,t]¶

The equation (4) shows the Operational Life for PPPVD002, for every scenario.

OperationalLife=20 Years (4)

OutputActivityRatio[r,t,f,m,y]¶

The equation (5) shows the Output Activity Ratio for PPPVD002, for every scenario and associated to the fuel Electricity for Transmission.

OutputActivityRatio=1 [PJ/PJ] (5)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 2 shows the Total Annual Max Capacity for PPPVD002, for every scenario.

_images/TotalAnnualMaxCapacity_PPPVD002.png

Figure 2) Total Annual Max Capacity for PPPVD002. .¶

VariableCost[r,t,m,y]¶

The equation (6) shows the Variable Cost for PPPVD002, for every scenario.

VariableCost=0.001 [M$/PJ] (6)

Photovoltaic Power Plant Transmission (existing)¶


Set codification:		PPPVT001
Description:		Photovoltaic Power Plant Transmission (existing)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapacityFactor[r,t,l,y] (Dry)	%	0.277	0.277	0.277	0.277
CapacityFactor[r,t,l,y] (Rain)	%	0.277	0.277	0.277	0.277
FixedCost[r,t,y]	M$/GW	31.3	31.3	31.3	31.3
InputActivityRatio[r,t,f,m,y] (Solar energy)	PJ/PJ	1	1	1	1
OperationalLife[r,t]	Years	25	25	25	25
OutputActivityRatio[r,t,f,m,y] (Electricity Supply by Plants)	PJ/PJ	1	1	1	1
ResidualCapacity[r,t,y]	GW	0.0054	0.0054	0.0054	0.0054
TotalAnnualMaxCapacity[r,t,y]	GW	0.0054	0.0054	0.0054	0.0054
VariableCost[r,t,m,y]	M$/PJ	0.001	0.001	0.001	0.001

CapacityFactor[r,t,l,y]¶

The equation (1) shows the Capacity Factor for PPPVT001, for every scenario and season.

CapacityFactor=0.277% (1)

FixedCost[r,t,y]¶

The equation (2) shows the Fixed Cost for PPPVT001, for every scenario.

FixedCost=31.3 [M$/GW] (2)

InputActivityRatio[r,t,f,m,y]¶

The equation (3) shows the Input Activity Ratio for PPPVT001, for every scenario and associated to the fuel Solar Energy.

InputActivityRatio=1 [PJ/PJ] (3)

OperationalLife[r,t]¶

The equation (4) shows the Operational Life for PPPVT001, for every scenario.

OperationalLife=25 Years (4)

OutputActivityRatio[r,t,f,m,y]¶

The equation (5) shows the Output Activity Ratio for PPPVT001, for every scenario and associated to the fuel Electricity Supply by Plants.

OutputActivityRatio=1 [PJ/PJ] (5)

ResidualCapacity[r,t,y]¶

The equation (6) shows the Residual Capacity for PPPVT001, for every scenario.

ResidualCapacity=0.0054 [GW] (6)

TotalAnnualMaxCapacity[r,t,y]¶

The equation (7) shows the Total Annual Max Capacity for PPPVT001, for every scenario.

TotalAnnualMaxCapacity=0.0054 [GW] (7)

VariableCost[r,t,m,y]¶

The equation (8) shows the Variable Cost for PPPVT001, for every scenario.

VariableCost=0.001 [M$/PJ] (8)

Photovoltaic Power Plant Transmission (new)¶


Set codification:		PPPVT002
Description:		Photovoltaic Power Plant Transmission (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapacityFactor[r,t,l,y] (Dry)	%	0.227	0.227	0.227	0.227
CapacityFactor[r,t,l,y] (Rain)	%	0.227	0.227	0.227	0.227
CapitalCost[r,t,y]	M$/GW	2484.5	2253.5	2253.5	2253.5
FixedCost[r,t,y]	M$/GW	31.3	31.3	31.3	31.3
InputActivityRatio[r,t,f,m,y] (Solar energy)	PJ/PJ	1	1	1	1
OperationalLife[r,t]	Years	25	25	25	25
OutputActivityRatio[r,t,f,m,y] (Electricity Supply by Plants)	PJ/PJ	1	1	1	1
TotalAnnualMaxCapacity[r,t,y]	GW	0.3	0.3	0.4	0.5
TotalAnnualMinCapacityInvestment[r,t,y]	GW	0	0	0	0
VariableCost[r,t,m,y]	M$/PJ	0.001	0.001	0.001	0.001

CapacityFactor[r,t,l,y]¶

The equation (1) shows the Capacity Factor for PPPVT002, for every scenario and season.

CapacityFactor=0.227% (1)

CapitalCost[r,t,y]¶

The figure 1 shows the Capital Cost for PPPVT002, for every scenario.

Figure 1) Capital Cost for PPPVT002. .¶

FixedCost[r,t,y]¶

The equation (2) shows the Fixed Cost for PPPVT002, for every scenario.

FixedCost=31.3 [M$/GW] (2)

InputActivityRatio[r,t,f,m,y]¶

The equation (3) shows the Input Activity Ratio for PPPVT002, for every scenario and associated to the fuel Solar Energy.

InputActivityRatio=1 [PJ/PJ] (3)

OperationalLife[r,t]¶

The equation (4) shows the Operational Life for PPPVT002, for every scenario.

OperationalLife=25 Years (4)

OutputActivityRatio[r,t,f,m,y]¶

The equation (5) shows the Output Activity Ratio for PPPVT002, for every scenario and associated to the fuel Electricity Supply by Plants.

OutputActivityRatio=1 [PJ/PJ] (5)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 2 shows the Total Annual Max Capacity for PPPVT002, for every scenario.

_images/TotalAnnualMaxCapacity_PPPVT002.png

Figure 2) Total Annual Max Capacity for PPPVT002. .¶

TotalAnnualMinCapacityInvestment[r,t,y]¶

The figure 3 show the Total Annual Min Capacity Investment for PPPVT002, for every scenario.

_images/PPPVT002_TotalAnnualMinCapacityInvestment.png

Figure 3) Total Annual Min Capacity Investment for PPPVT002.¶

VariableCost[r,t,m,y]¶

The equation (6) shows the Variable Cost for PPPVT002, for every scenario.

VariableCost=0.001 [M$/PJ] (6)

Wind Power Plant Distribution (new)¶


Set codification:		PPWND002
Description:		Wind Power Plant Distribution (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapacityFactor[r,t,l,y] (Dry)	%	0.572	0.572	0.572	0.572
CapacityFactor[r,t,l,y] (Rain)	%	0.572	0.572	0.572	0.572
CapitalCost[r,t,y]	M$/GW	2384.5	2153.5	2153.5	2153.5
FixedCost[r,t,y]	M$/GW	179.1	179.1	179.1	179.1
InputActivityRatio[r,t,f,m,y] (Eolic energy)	PJ/PJ	1	1	1	1
OperationalLife[r,t]	Years	20	20	20	20
OutputActivityRatio[r,t,f,m,y] (Electricity For Transmission)	PJ/PJ	1	1	1	1
TotalAnnualMaxCapacity[r,t,y]	GW	0.075	0.225	0.375	0.525
VariableCost[r,t,m,y]	M$/PJ	0.001	0.001	0.001	0.001

CapacityFactor[r,t,l,y]¶

The equation (1) shows the Capacity Factor for PPWND002, for every scenario and season.

CapacityFactor=0.572% (1)

CapitalCost[r,t,y]¶

The figure 1 shows the Capital Cost for PPWND002, for every scenario.

Figure 1) Capital Cost for PPWND002. .¶

FixedCost[r,t,y]¶

The equation (2) shows the Fixed Cost for PPWND002, for every scenario.

FixedCost=179.1 [M$/GW] (2)

InputActivityRatio[r,t,f,m,y]¶

The equation (3) shows the Input Activity Ratio for PPWND002, for every scenario and associated to the fuel Eolic Energy.

InputActivityRatio=1 [PJ/PJ] (3)

OperationalLife[r,t]¶

The equation (4) shows the Operational Life for PPWND002, for every scenario.

OperationalLife=20 Years (4)

OutputActivityRatio[r,t,f,m,y]¶

The equation (5) shows the Output Activity Ratio for PPWND002, for every scenario and associated to the fuel Electricity for Transmission.

OutputActivityRatio=1 [PJ/PJ] (5)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 2 shows the Total Annual Max Capacity for PPWND002, for every scenario.

_images/TotalAnnualMaxCapacity_PPWND002.png

Figure 2) Total Annual Max Capacity for PPWND002. .¶

VariableCost[r,t,m,y]¶

The equation (6) shows the Variable Cost for PPWND002, for every scenario.

VariableCost=0.001 [M$/PJ] (6)

Wind Power Plant Transmission (existing)¶


Set codification:		PPWNT001
Description:		Wind Power Plant Transmission (existing)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapacityFactor[r,t,l,y] (Dry)	%	0.572	0.572	0.572	0.572
CapacityFactor[r,t,l,y] (Rain)	%	0.572	0.572	0.572	0.572
FixedCost[r,t,y]	M$/GW	179.1	179.1	179.1	179.1
InputActivityRatio[r,t,f,m,y] (Eolic energy)	PJ/PJ	1	1	1	1
OperationalLife[r,t]	Years	25	25	25	25
OutputActivityRatio[r,t,f,m,y] (Electricity Supply by Plants)	PJ/PJ	1	1	1	1
ResidualCapacity[r,t,y]	GW	0.39	0.39	0.39	0.39
TotalAnnualMaxCapacity[r,t,y]	GW	0.39	0.39	0.39	0.39
VariableCost[r,t,m,y]	M$/PJ	0.001	0.001	0.001	0.001

CapacityFactor[r,t,l,y]¶

The equation (1) shows the Capacity Factor for PPWNT001, for every scenario and season.

CapacityFactor=0.572% (1)

FixedCost[r,t,y]¶

The equation (2) shows the Fixed Cost for PPWNT001, for every scenario.

FixedCost=179.1 [M$/GW] (2)

InputActivityRatio[r,t,f,m,y]¶

The equation (3) shows the Input Activity Ratio for PPWNT001, for every scenario and associated to the fuel Eolic Energy.

InputActivityRatio=1 [PJ/PJ] (3)

OperationalLife[r,t]¶

The equation (4) shows the Operational Life for PPWNT001, for every scenario.

OperationalLife=25 Years (4)

OutputActivityRatio[r,t,f,m,y]¶

The equation (5) shows the Output Activity Ratio for PPWNT001, for every scenario and associated to the fuel Electricity Supply by Plants.

OutputActivityRatio=1 [PJ/PJ] (5)

ResidualCapacity[r,t,y]¶

The equation (6) shows the Residual Capacity for PPWNT001, for every scenario.

ResidualCapacity=0.39 [GW] (6)

TotalAnnualMaxCapacity[r,t,y]¶

The equation (7) shows the Total Annual Max Capacity for PPWNT001, for every scenario.

TotalAnnualMaxCapacity=0.39 [GW] (7)

VariableCost[r,t,m,y]¶

The equation (8) shows the Variable Cost for PPWNT001, for every scenario.

VariableCost=0.001 [M$/PJ] (8)

Wind Power Plant Transmission (new)¶


Set codification:		PPWNT002
Description:		Wind Power Plant Transmission (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapacityFactor[r,t,l,y] (Dry)	%	0.572	0.572	0.572	0.572
CapacityFactor[r,t,l,y] (Rain)	%	0.572	0.572	0.572	0.572
CapitalCost[r,t,y]	M$/GW	2584.5	2353.5	2353.5	2353.5
FixedCost[r,t,y]	M$/GW	179.1	179.1	179.1	179.1
InputActivityRatio[r,t,f,m,y] (Eolic energy)	PJ/PJ	1	1	1	1
OperationalLife[r,t]	Years	25	25	25	25
OutputActivityRatio[r,t,f,m,y] (Electricity Supply by Plants)	PJ/PJ	1	1	1	1
TotalAnnualMaxCapacity[r,t,y]	GW	0.3	0.3	0.65	1
TotalAnnualMinCapacityInvestment[r,t,y]	GW	0	0	0	0
VariableCost[r,t,m,y]	M$/PJ	0.001	0.001	0.001	0.001

CapacityFactor[r,t,l,y]¶

The equation (1) shows the Capacity Factor for PPWNT002, for every scenario and season.

CapacityFactor=0.572% (1)

CapitalCost[r,t,y]¶

The figure 1 shows the Capital Cost for PPWNT002, for every scenario.

Figure 1) Capital Cost for PPWNT002. .¶

FixedCost[r,t,y]¶

The equation (2) shows the Fixed Cost for PPWNT002, for every scenario.

FixedCost=179.1 [M$/GW] (2)

.

InputActivityRatio[r,t,f,m,y]¶

The equation (3) shows the Input Activity Ratio for PPWNT002, for every scenario and associated to the fuel Eolic Energy.

InputActivityRatio=1 [PJ/PJ] (3)

OperationalLife[r,t]¶

The equation (4) shows the Operational Life for PPWNT002, for every scenario.

OperationalLife=25 Years (4)

OutputActivityRatio[r,t,f,m,y]¶

The equation (5) shows the Output Activity Ratio for PPWNT002, for every scenario and associated to the fuel Electricity Supply by Plants.

OutputActivityRatio=1 [PJ/PJ] (5)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 2 shows the Total Annual Max Capacity for PPWNT002, for every scenario.

_images/TotalAnnualMaxCapacity_PPWNT002.png

Figure 2) Total Annual Max Capacity for PPWNT002. .¶

TotalAnnualMinCapacityInvestment[r,t,y]¶

The figure 3 shows the Total Annual Min Capacity Investment for PPWNT002, for every scenario.

_images/PPWNT002_TotalAnnualMinCapacityInvestment.png

Figure 3) Total Annual Min Capacity Investment for PPWNT002. .¶

VariableCost[r,t,m,y]¶

The equation (6) shows the Variable Cost for PPWNT002, for every scenario.

VariableCost=0.001 [M$/PJ] (6)

Four Wheel Drives¶

Four Wheel Drive (Grouping Technology)¶


Set codification:		Techs_4WD
Description:		Four Wheel Drive
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
DistanceDriven[r,t,y]	km/year	14773	14773	14773	14773
InputActivityRatio[r,t,f,m,y] (Private Transport in Four Wheel Drive)	Gpkm/ Gvkm	1	1	1	1
OperationalLife[r,t]	Years	1	1	1	1
OutputActivityRatio[r,t,f,m,y] (Transport Demand Passenger Private)	Gpkm/ Gvkm	1.6	1.6	1.6	1.6
TotalAnnualMaxCapacity[r,t,y] (BAU)	Gvkm	5.1587	6.5541	7.9513	9.3417
TotalAnnualMaxCapacity[r,t,y] (NDP)	Gvkm	5.1582	6.3674	5.5055	5.963
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (BAU)	Gvkm	5.1484	6.541	7.9354	9.3231
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	5.1491	6.3539	5.4939	5.9237

DistanceDriven[r,t,y]¶

The equation (1) shows the Distance Driven for Techs_4WD, for every scenario.

DistanceDriven=14773 [km/year] (1)

InputActivityRatio[r,t,f,m,y]¶

The equation (2) shows the Input Activity Ratio for Techs_4WD, for every scenario and associated to the fuel Private Transport in Four Wheel Drive.

InputActivityRatio=1 [Gpkm/Gvkm] (2)

OperationalLife[r,t]¶

The equation (3) shows the Operational Life for Techs_4WD, for every scenario.

OperationalLife=1 Years (3)

OutputActivityRatio[r,t,f,m,y]¶

The equation (4) shows the Output Activity Ratio for Techs_4WD, for every scenario and associated to the fuel Transport Demand Passenger Private.

OutputActivityRatio=1.6 [Gpkm/Gvkm] (4)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 1 shows the Total Annual Max Capacity for Techs_4WD, for the BAU scenario.

_images/Techs_4WD_TotalAnnualMaxCapacity_BAU.png

Figure 1) Total Annual Max Capacity for Techs_4WD for the BAU scenario.¶

The figure 2 shows the Total Annual Max Capacity for Techs_4WD, for the NDP scenario.

_images/Techs_4WD_TotalAnnualMaxCapacity_NDP_OP15C.png

Figure 2) Total Annual Max Capacity for Techs_4WD for the NDP scenario.¶

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 3 shows the Total Technology Annual Activity Lower Limit for Techs_4WD, for the BAU scenario.

_images/Techs_4WD_TotalTechnologyAnnualActivityLowerLimit_BAU.png

Figure 3) Total Technology Annual Activity Lower Limit for Techs_4WD for the BAU scenario.¶

The figure 4 shows the Total Technology Annual Activity Lower Limit for Techs_4WD, for the NDP scenario.

_images/Techs_4WD_TotalTechnologyAnnualActivityLowerLimit_NDP_OP.png

Figure 4) Total Technology Annual Activity Lower Limit for Techs_4WD for the NDP scenario.¶

Four-Wheel-Drive (existing)¶


Set codification:		TRFWDDSL01
Description:		Four-Wheel-Drive (existing)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
DistanceDriven[r,t,y]	km/year	14773	14773	14773	14773
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.09	0.09	0.09	0.09
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
EmissionActivityRatio[r,t,e,m,y] (Health)		0.01	0.01	0.01	0.01
FixedCost[r,t,y]	M$/Gvkm	61.65	61.65	61.65	61.65
InputActivityRatio[r,t,f,m,y] (Diesel for private transport)	PJ/ Gvkm	3.3735	3.2005	3.114	3.114
OperationalLife[r,t]	Years	15	15	15	15
OutputActivityRatio[r,t,f,m,y] (Private Transport in Four Wheel Drive)	PJ/ Gvkm	1	1	1	1
ResidualCapacity[r,t,y] (BAU)	Gvkm	1.267	0.5365	0	0
ResidualCapacity[r,t,y] (NDP)	Gvkm	1.267	0.4467	0	0
TotalAnnualMaxCapacity[r,t,y] (BAU)	Gvkm	1.267	0.5365	0	0
TotalAnnualMaxCapacity[r,t,y] (NDP)	Gvkm	1.267	0.4467	0	0
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (BAU)	Gvkm	1.2645	0.5355	0	0
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	1.2645	0.4459	0	0
UnitFixedCost[r,t,y]	$	910.7554	910.7554	910.7554	910.7554

DistanceDriven[r,t,y]¶

The equation (1) shows the Distance Driven for TRFWDDSL01, for every scenario.

DistanceDriven=14773 [km/year] (1)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (2) shows the Emission Activity Ratio for TRFWDDSL01, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.09 (2)

The equation (3) shows the Emission Activity Ratio for TRFWDDSL01, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (3)

The equation (4) shows the Emission Activity Ratio for TRFWDDSL01, for every scenario and associated to the emission Health.

EmissionActivityRatio=0.01 (4)

FixedCost[r,t,y]¶

The equation (5) shows the Fixed Cost for TRFWDDSL01, for every scenario.

FixedCost=61.65 [M$/Gvkm] (5)

InputActivityRatio[r,t,f,m,y]¶

The figure 1 shows the Input Activity Ratio for TRFWDDSL01, for every scenario and associated to the fuel Diesel for private transport.

_images/TRFWDDSL01_InputActivityRatio.png

Figure 1) Input Activity Ratio for TRFWDDSL01 for every scenario.¶

OperationalLife[r,t]¶

The equation (6) shows the Operational Life for TRFWDDSL01, for every scenario.

OperationalLife=15 Years (6)

OutputActivityRatio[r,t,f,m,y]¶

The equation (7) shows the Output Activity Ratio for TRFWDDSL01, for every scenario and associated to the fuel Private Transport in Four Wheel Drive.

OutputActivityRatio=1 [PJ/Gvkm] (7)

ResidualCapacity[r,t,y]¶

The figure 2 shows the Residual Capacity for TRFWDDSL01, for the BAU scenario.

_images/TRFWDDSL01_ResidualCapacity_BAU.png

Figure 2) Residual Capacity for TRFWDDSL01 for the BAU scenario.¶

The figure 3 shows the Residual Capacity for TRFWDDSL01, for the NDP scenario.

_images/TRFWDDSL01_ResidualCapacity_NDP_OP.png

Figure 3) Residual Capacity for TRFWDDSL01 for the NDP scenario.¶

TotalAnnualMaxCapacity[r,t,y]¶

The figure 4 shows the Total Annual Max Capacity for TRFWDDSL01, for the BAU scenario.

_images/TRFWDDSL01_TotalAnnualMaxCapacity_BAU.png

Figure 4) Total Annual Max Capacity for TRFWDDSL01 for the BAU scenario.¶

The figure 5 shows the Total Annual Max Capacity for TRFWDDSL01, for the NDP scenario.

_images/TRFWDDSL01_TotalAnnualMaxCapacity_NDP_OP.png

Figure 5) Total Annual Max Capacity for TRFWDDSL01 for the NDP scenario.¶

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 6 shows the Total Technology Annual Activity Lower Limit for TRFWDDSL01, for the BAU scenario.

_images/TRFWDDSL01_TotalTechnologyAnnualActivityLowerLimit_BAU.png

Figure 6) Total Technology Annual Activity Lower Limit for TRFWDDSL01 for the BAU scenario.¶

The figure 7 shows the Total Technology Annual Activity Lower Limit for TRFWDDSL01, for the NDP scenario.

_images/TRFWDDSL01_TotalTechnologyAnnualActivityLowerLimit_NDP_OP.png

Figure 7) Total Technology Annual Activity Lower Limit for TRFWDDSL01 for the NDP scenario.¶

UnitFixedCost[r,t,y]¶

The equation (8) shows the Unit Fixed Cost for TRFWDDSL01, for every scenario.

UnitFixedCost=11244.7188 [$] (8)

Four-Wheel-Drive Diesel (new)¶


Set codification:		TRFWDDSL02
Description:		Four-Wheel-Drive Diesel (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	2460.82	2460.82	2460.82	2460.82
DistanceDriven[r,t,y]	km/year	14773	14773	14773	14773
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.09	0.09	0.09	0.09
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
EmissionActivityRatio[r,t,e,m,y] (Health)		0.01	0.01	0.01	0.01
FixedCost[r,t,y]	M$/Gvkm	61.65	61.65	61.65	61.65
InputActivityRatio[r,t,f,m,y] (Diesel for private transport)	PJ/ Gvkm	2.916285714	2.520857143	2.125428571	1.73
OperationalLife[r,t]	Years	15	15	15	15
OutputActivityRatio[r,t,f,m,y] (Private Transport in Four Wheel Drive)	PJ/ Gvkm	1	1	1	1
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (BAU)	Gvkm	0.4215	1.6065	2.2089	2.5951
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	0.4215	0	0	0
UnitCapitalCost[r,t,y]	$	36353.6939	36353.6939	36353.6939	36353.6939
UnitFixedCost[r,t,y]	$	910.7554	910.7554	910.7554	910.7554

CapitalCost[r,t,y]¶

The equation (1) shows the Capital Cost for TRFWDDSL02, for every scenario.

CapitalCost=2460.82 [M$/Gvkm] (1)

DistanceDriven[r,t,y]¶

The equation (2) shows the Distance Driven for TRFWDDSL02, for every scenario.

DistanceDriven=14773 [km/year] (2)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (3) shows the Emission Activity Ratio for TRFWDDSL02, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.09 (3)

The equation (4) shows the Emission Activity Ratio for TRFWDDSL02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (4)

The equation (5) shows the Emission Activity Ratio for TRFWDDSL02, for every scenario and associated to the emission Health.

EmissionActivityRatio=0.01 (5)

FixedCost[r,t,y]¶

The equation (6) shows the Fixed Cost for TRFWDDSL02, for every scenario.

FixedCost=171.78 [M$/Gvkm] (6)

InputActivityRatio[r,t,f,m,y]¶

The figure 1 shows the Input Activity Ratio for TRFWDDSL02, for every scenario and associated to the fuel Diesel for private transport.

_images/TRFWDDSL02_InputActivityRatio.png

Figure 1) Input Activity Ratio for TRFWDDSL02 for every scenario.¶

OperationalLife[r,t]¶

The equation (7) shows the Operational Life for TRFWDDSL02, for every scenario.

OperationalLife=15 Years (7)

OutputActivityRatio[r,t,f,m,y]¶

The equation (8) shows the Output Activity Ratio for TRFWDDSL02, for every scenario and associated to the fuel Private Transport in Four Wheel Drive.

OutputActivityRatio=1 [PJ/Gvkm] (8)

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 2 shows the Total Technology Annual Activity Lower Limit for TRFWDDSL02, for the BAU scenario.

_images/TRFWDDSL02_TotalTechnologyAnnualActivityLowerLimit_BAU.png

Figure 2) Total Technology Annual Activity Lower Limit for TRFWDDSL02 for the BAU scenario.¶

The figure 3 shows the Total Technology Annual Activity Lower Limit for TRFWDDSL02, for the NDP scenario.

_images/TRFWDDSL02_TotalTechnologyAnnualActivityLowerLimit_NDP_OP.png

Figure 3) Total Technology Annual Activity Lower Limit for TRFWDDSL02 for the NDP scenario.¶

UnitCapitalCost[r,t,y]¶

The equation (9) shows the Unit Capital Cost for TRFWDDSL02, for every scenario.

UnitCapitalCost=36353.6939 [$] (9)

UnitFixedCost[r,t,y]¶

The equation (10) shows the Unit Fixed Cost for TRFWDDSL02, for every scenario.

UnitFixedCost=910.7554 [$] (10)

Four-Wheel-Drive Electric (new)¶


Set codification:		TRFWDELE02
Description:		Four-Wheel-Drive Electric (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	4482.01	3410.22	3328.38	3246.53
DistanceDriven[r,t,y]	km/year	14773	14773	14773	14773
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.09	0.09	0.09	0.09
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
FixedCost[r,t,y]	M$/Gvkm	20.3445	20.3445	20.3445	20.3445
InputActivityRatio[r,t,f,m,y] (Electricity for private transport)	PJ/ Gvkm	0.7	0.7	0.7	0.7
OperationalLife[r,t]	Years	12	12	12	12
OutputActivityRatio[r,t,f,m,y] (Private Transport in Four Wheel Drive)	PJ/ Gvkm	1	1	1	1
TotalAnnualMaxCapacity[r,t,y] (BAU)	Gvkm	0	0	0.1325	0.467
TotalAnnualMaxCapacity[r,t,y] (NDP)	Gvkm	0	0.433	3.8402	5.5831
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (BAU)	Gvkm	0	0	0.1322	0.4661
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	0	0.4321	3.8322	5.5712
UnitCapitalCost[r,t,y]	$	66212.7337	50379.1801	49170.1577	47960.9877
UnitFixedCost[r,t,y]	$	300.5493	300.5493	300.5493	300.5493

CapitalCost[r,t,y]¶

The figure 1 shows the Capital Cost for TRFWDELE02, for every scenario.

Figure 1) Capital Cost for TRFWDELE02 for every scenario.¶

DistanceDriven[r,t,y]¶

The equation (1) shows the Distance Driven for TRFWDELE02, for every scenario.

DistanceDriven=14773 [km/year] (1)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (2) shows the Emission Activity Ratio for TRFWDELE02, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.09 (2)

The equation (3) shows the Emission Activity Ratio for TRFWDELE02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (3)

FixedCost[r,t,y]¶

The equation (4) shows the Fixed Cost for TRFWDELE02, for every scenario.

FixedCost=20.3445 [M$/Gvkm] (4)

InputActivityRatio[r,t,f,m,y]¶

The equation (5) shows the Input Activity Ratio for TRFWDELE02, for every scenario and associated to the fuel Electricity for private transport.

InputActivityRatio=0.7 [PJ/Gvkm] (5)

OperationalLife[r,t]¶

The equation (6) shows the Operational Life for TRFWDELE02, for every scenario.

OperationalLife=12 Years (6)

OutputActivityRatio[r,t,f,m,y]¶

The equation (7) shows the Output Activity Ratio for TRFWDELE02, for every scenario and associated to the fuel Private Transport in Four Wheel Drive.

OutputActivityRatio=1 [PJ/Gvkm] (7)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 2 shows the Total Annual Max Capacity for TRFWDELE02, for the BAU scenario.

_images/TRFWDELE02_TotalAnnualMaxCapacity_BAU.png

Figure 2) Total Annual Max Capacity for TRFWDELE02 for the BAU scenario.¶

The figure 3 shows the Total Annual Max Capacity for TRFWDELE02, for the NDP scenario.

_images/TRFWDELE02_TotalAnnualMaxCapacity_NDP_OP.png

Figure 3) Total Annual Max Capacity for TRFWDELE02 for the NDP scenario.¶

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 4 shows the Total Technology Annual Activity Lower Limit for TRFWDELE02, for the BAU scenario.

_images/TRFWDELE02_TotalTechnologyAnnualActivityLowerLimit_BAU.png

Figure 4) Total Technology Annual Activity Lower Limit for TRFWDELE02 for the BAU scenario.¶

The figure 5 shows the Total Technology Annual Activity Lower Limit for TRFWDELE02, for the NDP scenario.

_images/TRFWDELE02_TotalTechnologyAnnualActivityLowerLimit_NDP_OP.png

Figure 5) Total Technology Annual Activity Lower Limit for TRFWDELE02 for the NDP scenario.¶

UnitCapitalCost[r,t,y]¶

The figure 6 shows the Unit Capital Cost for TRFWDELE02, for every scenario.

Figure 6) Unit Capital Cost for TRFWDELE02 for every scenario.¶

UnitFixedCost[r,t,y]¶

The equation (8) shows the Unit Fixed Cost for TRFWDELE02, for every scenario.

UnitFixedCost=300.5493 [$] (8)

Four-Wheel-Drive Gasoline (existing)¶


Set codification:		TRFWDGAS01
Description:		Four-Wheel-Drive Gasoline (existing)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
DistanceDriven[r,t,y]	km/year	14773	14773	14773	14773
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.09	0.09	0.09	0.09
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
FixedCost[r,t,y]	M$/Gvkm	61.65	61.65	61.65	61.65
InputActivityRatio[r,t,f,m,y] (Gasoline for private transport)	PJ/ Gvkm	2.808	2.664	2.592	2.592
OperationalLife[r,t]	Years	15	15	15	15
OutputActivityRatio[r,t,f,m,y] (Private Transport in Four Wheel Drive)	PJ/ Gvkm	1	1	1	1
ResidualCapacity[r,t,y] (BAU)	Gvkm	2.5595	1.0839	0	0
ResidualCapacity[r,t,y] (NDP)	Gvkm	2.5595	0.9025	0	0
TotalAnnualMaxCapacity[r,t,y] (BAU)	Gvkm	2.5595	1.0839	0	0
TotalAnnualMaxCapacity[r,t,y] (NDP)	Gvkm	2.5595	0.9025	0	0
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (BAU)	Gvkm	2.5544	1.0818	0	0
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	2.5544	0.9007	0	0
UnitFixedCost[r,t,y]	$	910.7554	910.7554	910.7554	910.7554

DistanceDriven[r,t,y]¶

The equation (1) shows the Distance Driven for TRFWDGAS01, for every scenario.

DistanceDriven=14773 [km/year] (1)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (2) shows the Emission Activity Ratio for TRFWDGAS01, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.09 (2)

The equation (3) shows the Emission Activity Ratio for TRFWDGAS01, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (3)

FixedCost[r,t,y]¶

The equation (4) shows the Fixed Cost for TRFWDGAS01, for every scenario.

FixedCost=61.65 [M$/Gvkm] (4)

InputActivityRatio[r,t,f,m,y]¶

The figure 1 shows the Input Activity Ratio for TRFWDGAS01, for every scenario and associated to the fuel Gasoline for private transport.

_images/TRFWDGAS01_InputActivityRatio.png

Figure 1) Input Activity Ratio for TRFWDGAS01 for every scenario.¶

OperationalLife[r,t]¶

The equation (5) shows the Operational Life for TRFWDGAS01, for every scenario.

OperationalLife=15 Years (5)

OutputActivityRatio[r,t,f,m,y]¶

The equation (6) shows the Output Activity Ratio for TRFWDGAS01, for every scenario and associated to the fuel Private Transport in Four Wheel Drive.

OutputActivityRatio=1 [PJ/Gvkm] (6)

ResidualCapacity[r,t,y]¶

The figure 2 shows the Residual Capacity for TRFWDGAS01, for the BAU scenario.

_images/TRFWDGAS01_ResidualCapacity_BAU.png

Figure 2) Residual Capacity for TRFWDGAS01 for the BAU scenario.¶

The figure 3 shows the Residual Capacity for TRFWDGAS01, for the NDP scenario.

_images/TRFWDGAS01_ResidualCapacity_NDP_OP.png

Figure 3) Residual Capacity for TRFWDGAS01 for the NDP scenarios.¶

TotalAnnualMaxCapacity[r,t,y]¶

The figure 4 shows the Total Annual Max Capacity for TRFWDGAS01, for the BAU scenario.

_images/TRFWDGAS01_TotalAnnualMaxCapacity_BAU.png

Figure 4) Total Annual Max Capacity for TRFWDGAS01 for the BAU scenario.¶

The figure 5 shows the Total Annual Max Capacity for TRFWDGAS01, for the NDP scenario.

_images/TRFWDGAS01_TotalAnnualMaxCapacity_NDP_OP.png

Figure 5) Total Annual Max Capacity for TRFWDGAS01 for the NDP scenario.¶

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 6 shows the Total Technology Annual Activity Lower Limit for TRFWDGAS01, for the BAU scenario.

_images/TRFWDGAS01_TotalTechnologyAnnualActivityLowerLimit_BAU.png

Figure 6) Total Technology Annual Activity Lower Limit for TRFWDGAS01 for the BAU scenario.¶

The figure 7 shows the Total Technology Annual Activity Lower Limit for TRFWDGAS01, for the NDP scenario.

_images/TRFWDGAS01_TotalTechnologyAnnualActivityLowerLimit_NDP_OP.png

Figure 7) Total Technology Annual Activity Lower Limit for TRFWDGAS01 for the NDP scenario.¶

UnitFixedCost[r,t,y]¶

The equation (7) shows the Unit Fixed Cost for TRFWDGAS01, for every scenario.

UnitFixedCost=910.7554 [$] (7)

Four-Wheel-Drive Gasoline (new)¶


Set codification:		TRFWDGAS02
Description:		Four-Wheel-Drive Gasoline (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	2350.33	2350.33	2350.33	2350.33
DistanceDriven[r,t,y]	km/year	14773	14773	14773	14773
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.09	0.09	0.09	0.09
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
FixedCost[r,t,y]	M$/Gvkm	61.65	61.65	61.65	61.65
InputActivityRatio[r,t,f,m,y] (Gasoline for private transport)	PJ/ Gvkm	2.243428571	2.122285714	2.001142857	1.88
OperationalLife[r,t]	Years	15	15	15	15
OutputActivityRatio[r,t,f,m,y] (Private Transport in Four Wheel Drive)	PJ/ Gvkm	1	1	1	1
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (BAU)	Gvkm	0.8514	3.2454	4.4622	5.2426
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	0.8514	0	0	0
UnitCapitalCost[r,t,y]	$	34721.4251	34721.4251	34721.4251	34721.4251
UnitFixedCost[r,t,y]	$	910.7554	910.7554	910.7554	910.7554

CapitalCost[r,t,y]¶

The equation (1) shows the Capital Cost for TRFWDGAS02, for every scenario.

CapitalCost=2350.33 [M$/Gvkm] (1)

DistanceDriven[r,t,y]¶

The equation (2) shows the Distance Driven for TRFWDGAS02, for every scenario.

DistanceDriven=14773 [km/year] (2)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (3) shows the Emission Activity Ratio for TRFWDGAS02, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.09 (3)

The equation (4) shows the Emission Activity Ratio for TRFWDGAS02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (4)

FixedCost[r,t,y]¶

The equation (5) shows the Fixed Cost for TRFWDGAS02, for every scenario.

FixedCost=61.65 [M$/Gvkm] (5)

InputActivityRatio[r,t,f,m,y]¶

The figure 1 shows the Input Activity Ratio for TRFWDGAS02, for every scenario and associated to the fuel Gasoline for private transport.

_images/TRFWDGAS02_InputActivityRatio.png

Figure 1) Input Activity Ratio for TRFWDGAS02 for every scenario.¶

OperationalLife[r,t]¶

The equation (6) shows the Operational Life for TRFWDGAS02, for every scenario.

OperationalLife=15 Years (6)

OutputActivityRatio[r,t,f,m,y]¶

The equation (7) shows the Output Activity Ratio for TRFWDGAS02, for every scenario and associated to the fuel Private Transport in Four Wheel Drive.

OutputActivityRatio=1 [PJ/Gvkm] (7)

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 2 shows the Total Technology Annual Activity Lower Limit for TRFWDGAS02, for the BAU scenario.

_images/TRFWDGAS02_TotalTechnologyAnnualActivityLowerLimit_BAU.png

Figure 2) Total Technology Annual Activity Lower Limit for TRFWDGAS02 for the BAU scenario.¶

The figure 3 shows the Total Technology Annual Activity Lower Limit for TRFWDGAS02, for the NDP scenario.

_images/TRFWDGAS02_TotalTechnologyAnnualActivityLowerLimit_NDP_OP.png

Figure 3) Total Technology Annual Activity Lower Limit for TRFWDGAS02 for the NDP scenario.¶

UnitCapitalCost[r,t,y]¶

The equation (8) shows the Unit Capital Cost for TRFWDGAS02, for every scenario.

UnitCapitalCost=34721.4251 [$] (8)

UnitFixedCost[r,t,y]¶

The equation (9) shows the Unit Fixed Cost for TRFWDGAS02, for every scenario.

UnitFixedCost=910.7554 [$] (9)

Four-Wheel-Drive Hybrid Electric-Diesel (new)¶


Set codification:		TRFWDHYBD02
Description:		Four-Wheel-Drive Hybrid Electric-Diesel (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	3459	3459	3459	3459
DistanceDriven[r,t,y]	km/year	14773	14773	14773	14773
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.09	0.09	0.09	0.09
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
FixedCost[r,t,y]	M$/Gvkm	30.825	30.825	30.825	30.825
InputActivityRatio[r,t,f,m,y] (Diesel for private transport)	PJ/ Gvkm	0.55	0.55	0.55	0.55
InputActivityRatio[r,t,f,m,y] (Electricity for private transport)	PJ/ Gvkm	0.55	0.55	0.55	0.55
OperationalLife[r,t]	Years	12	12	12	12
OutputActivityRatio[r,t,f,m,y] (Private Transport in Four Wheel Drive)	PJ/ Gvkm	1	1	1	1
TotalAnnualMaxCapacity[r,t,y]	Gvkm	0	99999	99999	99999
UnitCapitalCost[r,t,y]	$	51099.807	51099.807	51099.807	51099.807
UnitFixedCost[r,t,y]	$	455.3777	455.3777	455.3777	455.3777

CapitalCost[r,t,y]¶

The equation (1) shows the Capital Cost for TRFWDHYBD02, for every scenario.

CapitalCost=3459 [M$/Gvkm] (1)

DistanceDriven[r,t,y]¶

The equation (2) shows the Distance Driven for TRFWDHYBD02, for every scenario.

DistanceDriven=14773 [km/year] (2)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (3) shows the Emission Activity Ratio for TRFWDHYBD02, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.09 (3)

The equation (4) shows the Emission Activity Ratio for TRFWDHYBD02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (4)

FixedCost[r,t,y]¶

The equation (5) shows the Fixed Cost for TRFWDHYBD02, for every scenario.

FixedCost=30.825 [M$/Gvkm] (5)

InputActivityRatio[r,t,f,m,y]¶

The equation (6) shows the Input Activity Ratio for TRFWDHYBD02, for every scenario and associated to the fuel Electricity for public transport and Diesel for public transport.

InputActivityRatio=0.55 [PJ/Gvkm] (6)

OperationalLife[r,t]¶

The equation (7) shows the Operational Life for TRFWDHYBD02, for every scenario.

OperationalLife=12 Years (7)

OutputActivityRatio[r,t,f,m,y]¶

The equation (8) shows the Output Activity Ratio for TRFWDHYBD02, for every scenario and associated to the fuel Private Transport in Four Wheel Drive.

OutputActivityRatio=1 [PJ/Gvkm] (8)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 1 shows the Total Annual Max Capacity for TRFWDHYBD02, for every scenario.

_images/TRFWDHYBD02_TotalAnnualMaxCapacity.png

Figure 1) Total Annual Max Capacity for TRFWDHYBD02 for every scenario.¶

UnitCapitalCost[r,t,y]¶

The equation (9) shows the Unit Capital Cost for TRFWDHYBD02, for every scenario.

UnitCapitalCost=51099.807 [$] (9)

UnitFixedCost[r,t,y]¶

The equation (10) shows the Unit Fixed Cost for TRFWDHYBD02, for every scenario.

UnitFixedCost=455.3777 [$] (10)

Four-Wheel-Drive LPG (existing)¶


Set codification:		TRFWDLPG01
Description:		Four-Wheel-Drive LPG (existing)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
DistanceDriven[r,t,y]	km/year	14773	14773	14773	14773
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.09	0.09	0.09	0.09
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
FixedCost[r,t,y]	M$/Gvkm	61.65	61.65	61.65	61.65
InputActivityRatio[r,t,f,m,y] (LPG for private transport)	PJ/ Gvkm	4.51	4.51	4.51	4.51
OperationalLife[r,t]	Years	15	15	15	15
OutputActivityRatio[r,t,f,m,y] (Private Transport in Four Wheel Drive)	PJ/ Gvkm	1	1	1	1
ResidualCapacity[r,t,y] (BAU)	Gvkm	0.0423	0.0179	0	0
ResidualCapacity[r,t,y] (NDP and OP15C)	Gvkm	2.5595	0.0149	0	0
TotalAnnualMaxCapacity[r,t,y] (BAU)	Gvkm	0.0423	0.0179	0	0
TotalAnnualMaxCapacity[r,t,y] (NDP and OP15C)	Gvkm	2.5595	0.0149	0	0
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (BAU)	Gvkm	0.0422	0.0179	0	0
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP and OP15C)	Gvkm	2.5544	0.0149	0	0
UnitFixedCost[r,t,y]	$	910.7554	910.7554	910.7554	910.7554

DistanceDriven[r,t,y]¶

The equation (1) shows the Distance Driven for TRFWDLPG01, for every scenario.

DistanceDriven=14773 [km/year] (1)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (2) shows the Emission Activity Ratio for TRFWDLPG01, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.09 (2)

The equation (3) shows the Emission Activity Ratio for TRFWDLPG01, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (3)

FixedCost[r,t,y]¶

The equation (4) shows the Fixed Cost for TRFWDLPG01, for every scenario.

FixedCost=61.65 [M$/Gvkm] (4)

InputActivityRatio[r,t,f,m,y]¶

The equation (5) shows the Input Activity Ratio for TRFWDLPG01, for every scenario and associated to the fuel LPG for private transport.

InputActivityRatio=4.51 [PJ/Gvkm] (5)

OperationalLife[r,t]¶

The equation (6) shows the Operational Life for TRFWDLPG01, for every scenario.

OperationalLife=15 Years (6)

OutputActivityRatio[r,t,f,m,y]¶

The equation (7) shows the Output Activity Ratio for TRFWDLPG01, for every scenario and associated to the fuel Private Transport in Four Wheel Drive.

OutputActivityRatio=1 [PJ/Gvkm] (7)

ResidualCapacity[r,t,y]¶

The figure 1 shows the Residual Capacity for TRFWDLPG01, for the BAU scenario.

_images/TRFWDLPG01_ResidualCapacity_BAU.png

Figure 1) Residual Capacity for TRFWDLPG01 for the BAU scenario.¶

The figure 2 shows the Residual Capacity for TRFWDLPG01, for the NDP and OP15C scenario.

_images/TRFWDLPG01_ResidualCapacity_NDP_OP.png

Figure 2) Residual Capacity for TRFWDLPG01 for the NDP and OP15C scenarios.¶

TotalAnnualMaxCapacity[r,t,y]¶

The figure 3 shows the Total Annual Max Capacity for TRFWDLPG01, for the BAU scenario.

_images/TRFWDLPG01_TotalAnnualMaxCapacity_BAU.png

Figure 3) Total Annual Max Capacity for TRFWDLPG01 for the BAU scenario.¶

The figure 4 shows the Total Annual Max Capacity for TRFWDLPG01, for the NDP and OP15C scenarios.

_images/TRFWDLPG01_TotalAnnualMaxCapacity_NDP_OP.png

Figure 4) Total Annual Max Capacity for TRFWDLPG01 for the NDP and OP15C scenarios.¶

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 5 shows the Total Technology Annual Activity Lower Limit for TRFWDLPG01, for BAU scenario.

_images/TRFWDLPG01_TotalTechnologyAnnualActivityLowerLimit_BAU.png

Figure 5) Total Technology Annual Activity Lower Limit for TRFWDLPG01 for BAU scenario.¶

The figure 6 shows the Total Technology Annual Activity Lower Limit for TRFWDLPG01, for NDP and OP15C scenarios.

_images/TRFWDLPG01_TotalTechnologyAnnualActivityLowerLimit_NDP_OP.png

Figure 6) Total Technology Annual Activity Lower Limit for TRFWDLPG01 for NDP and OP15C scenarios.¶

UnitFixedCost[r,t,y]¶

The equation (8) shows the Unit Fixed Cost for TRFWDLPG01, for every scenario.

UnitFixedCost=910.7554 [$] (8)

Four-Wheel-Drive LPG (new)¶


Set codification:		TRFWDLPG02
Description:		Four-Wheel-Drive LPG (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	3444	3444	3444	3444
DistanceDriven[r,t,y]	km/year	14773	14773	14773	14773
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.09	0.09	0.09	0.09
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
FixedCost[r,t,y]	M$/Gvkm	61.65	61.65	61.65	61.65
InputActivityRatio[r,t,f,m,y] (LGP for private transport)	PJ/ Gvkm	1.98	1.98	1.98	1.98
OperationalLife[r,t]	Years	15	15	15	15
OutputActivityRatio[r,t,f,m,y] (Private Transport in Four Wheel Drive)	PJ/ Gvkm	1	1	1	1
TotalAnnualMaxCapacity[r,t,y]	Gvkm	0	99999	99999	99999
UnitCapitalCost[r,t,y]	$	50878.212	50878.212	50878.212	50878.212
UnitFixedCost[r,t,y]	$	910.7554	910.7554	910.7554	910.7554

CapitalCost[r,t,y]¶

The equation (1) shows the Capital Cost for TRFWDLPG02, for every scenario.

CapitalCost=3444 [M$/Gvkm] (1)

DistanceDriven[r,t,y]¶

The equation (2) shows the Distance Driven for TRFWDLPG02, for every scenario.

DistanceDriven=14773 [km/year] (2)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (3) shows the Emission Activity Ratio for TRFWDLPG02, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.09 (3)

The equation (4) shows the Emission Activity Ratio for TRFWDLPG02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (4)

FixedCost[r,t,y]¶

The equation (5) shows the Fixed Cost for TRFWDLPG02, for every scenario.

FixedCost=61.65 [M$/Gvkm] (5)

InputActivityRatio[r,t,f,m,y]¶

The equation (6) shows the Input Activity Ratio for TRFWDLPG02, for every scenario and associated to the fuel LPG for private transport.

InputActivityRatio=1.98 [PJ/Gvkm] (6)

OperationalLife[r,t]¶

The equation (7) shows the Operational Life for TRFWDLPG02, for every scenario.

OperationalLife=15 Years (7)

OutputActivityRatio[r,t,f,m,y]¶

The equation (8) shows the Output Activity Ratio for TRFWDLPG02, for every scenario and associated to the fuel Private Transport in Four Wheel Drive.

OutputActivityRatio=1 [PJ/Gvkm] (8)

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 1 shows the Total Technology Annual Activity Lower Limit for TRFWDLPG02, for every scenario.

_images/TRFWDLPG02_TotalTechnologyAnnualActivityLowerLimit.png

Figure 1) Total Technology Annual Activity Lower Limit for TRFWDLPG02 for every scenario.¶

UnitCapitalCost[r,t,y]¶

The equation (9) shows the Unit Capital Cost for TRFWDLPG02, for every scenario.

UnitCapitalCost=50878.212 [$] (9)

UnitFixedCost[r,t,y]¶

The equation (10) shows the Unit Fixed Cost for TRFWDLPG02, for every scenario.

UnitFixedCost=910.7554 [$] (10)

Four-Wheel-Drive Plug-in Hybrid Electric-Diesel(new)¶


Set codification:		TRFWDPHYBD02
Description:		Four-Wheel-Drive Plug-in Hybrid Electric-Diesel(new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	3286	2914	2886	2857
DistanceDriven[r,t,y]	km/year	14773	14773	14773	14773
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.09	0.09	0.09	0.09
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
FixedCost[r,t,y]	M$/Gvkm	30.825	30.825	30.825	30.825
InputActivityRatio[r,t,f,m,y] (Diesel for private transport)	PJ/ Gvkm	0.48	0.48	0.48	0.48
InputActivityRatio[r,t,f,m,y] (Electricity for private transport)	PJ/ Gvkm	0.48	0.48	0.48	0.48
OperationalLife[r,t]	Years	12	12	12	12
OutputActivityRatio[r,t,f,m,y] (Private Transport in Four Wheel Drive)	PJ/ Gvkm	1	1	1	1
TotalAnnualMaxCapacity[r,t,y]	Gvkm	0	99999	99999	99999
UnitCapitalCost[r,t,y]	$	48544.078	43048.522	42634.878	42206.461
UnitFixedCost[r,t,y]	$	455.3777	455.3777	455.3777	455.3777

CapitalCost[r,t,y]¶

The figure 1 shows the Capital Cost for TRFWDPHYBD02, for every scenario.

Figure 1) Capital Cost for TRFWDPHYBD02 for every scenario.¶

DistanceDriven[r,t,y]¶

The equation (1) shows the Distance Driven for TRFWDPHYBD02, for every scenario.

DistanceDriven=14773 [km/year] (1)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (2) shows the Emission Activity Ratio for TRFWDPHYBD02, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.09 (2)

The equation (3) shows the Emission Activity Ratio for TRFWDPHYBD02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (3)

FixedCost[r,t,y]¶

The equation (4) shows the Fixed Cost for TRFWDPHYBD02, for every scenario.

FixedCost=30.825 [M$/Gvkm] (4)

InputActivityRatio[r,t,f,m,y]¶

The equation (5) shows the Input Activity Ratio for TRFWDPHYBD02, for every scenario and associated to the fuel Electricity for public transport and Diesel for public transport.

InputActivityRatio=0.48 [PJ/Gvkm] (5)

OperationalLife[r,t]¶

The equation (6) shows the Operational Life for TRFWDPHYBD02, for every scenario.

OperationalLife=12 Years (6)

OutputActivityRatio[r,t,f,m,y]¶

The equation (7) shows the Output Activity Ratio for TRFWDPHYBD02, for every scenario and associated to the fuel Private Transport in Four Wheel Drive.

OutputActivityRatio=1 [PJ/Gvkm] (7)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 2 shows the Total Annual Max Capacity for TRFWDPHYBD02, for every scenario.

_images/TRFWDPHYBD02_TotalAnnualMaxCapacity.png

Figure 2) Total Annual Max Capacity for TRFWDPHYBD02 for every scenario.¶

UnitCapitalCost[r,t,y]¶

The figure 3 shows the Unit Capital Cost for TRFWDPHYBD02, for every scenario.

_images/TRFWDPHYBD02_UnitCapitalCost.png

Figure 3) Unit Capital Cost for TRFWDPHYBD02 for every scenario.¶

UnitFixedCost[r,t,y]¶

The equation (8) shows the Unit Fixed Cost for TRFWDPHYBD02, for every scenario.

UnitFixedCost=455.3777 [$] (8)

Buses¶

Bus (Grouping Technology)¶


Set codification:		Techs_Bus
Description:		Bus
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
DistanceDriven[r,t,y]	km/year	65460	65460	65460	65460
InputActivityRatio[r,t,f,m,y] (Public Transport in Buses)	Gpkm/ Gvkm	1	1	1	1
OperationalLife[r,t]	Years	1	1	1	1
OutputActivityRatio[r,t,f,m,y] (Transport Demand Passenger Public)	Gpkm/ Gvkm	25.66	25.66	25.66	25.66
TotalAnnualMaxCapacity[r,t,y] (BAU)	Gvkm	0.5444	0.6712	0.7994	0.9298
TotalAnnualMaxCapacity[r,t,y] (NDP)	Gvkm	0.5444	0.6829	1.0431	1.2542
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (BAU)	Gvkm	0.5433	0.6699	0.7978	0.9279
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	0.5433	0.6816	1.041	1.2517

DistanceDriven[r,t,y]¶

The equation (1) shows the Distance Driven for Techs_Bus, for every scenario.

DistanceDriven=65460 [km/year] (1)

InputActivityRatio[r,t,f,m,y]¶

The equation (2) shows the Input Activity Ratio for Techs_Bus, for every scenario and associated to the fuel Public Transport in Bus.

InputActivityRatio=1 [Gpkm/Gvkm] (2)

OperationalLife[r,t]¶

The equation (3) shows the Operational Life for Techs_Bus, for every scenario.

OperationalLife=1 Years (3)

OutputActivityRatio[r,t,f,m,y]¶

The equation (4) shows the Output Activity Ratio for Techs_Bus, for every scenario and associated to the fuel Transport Demand Passenger Public.

OutputActivityRatio=25.66 [Gpkm/Gvkm] (4)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 1 shows the Total Annual Max Capacity for Techs_Bus, for the BAU scenario.

_images/Techs_Bus_TotalAnnualMaxCapacity_BAU.png

Figure 1) Total Annual Max Capacity for Techs_Bus for the BAU scenario.¶

The figure 2 shows the Total Annual Max Capacity for Techs_Bus, for the NDP scenario.

_images/Techs_Bus_TotalAnnualMaxCapacity_NDP_OP15C.png

Figure 2) Total Annual Max Capacity for Techs_Bus for the NDP scenario.¶

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 3 shows the Total Technology Annual Activity Lower Limit for Techs_Bus, for the BAU scenario.

_images/Techs_Bus_TotalTechnologyAnnualActivityLowerLimit_BAU.png

Figure 3) Total Technology Annual Activity Lower Limit for Techs_Bus for the BAU scenario.¶

The figure 4 shows the Total Technology Annual Activity Lower Limit for Techs_Bus, for the NDP scenario.

_images/Techs_Bus_TotalTechnologyAnnualActivityLowerLimit_NDP_OP.png

Figure 4) Total Technology Annual Activity Lower Limit for Techs_Bus for the NDP scenario.¶

Bus Diesel (existing)¶


Set codification:		TRBUSDSL01
Description:		Bus Diesel (existing)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
DistanceDriven[r,t,y]	km/year	65460	65460	65460	65460
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.1	0.1	0.1	0.1
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.16	0.16	0.16	0.16
EmissionActivityRatio[r,t,e,m,y] (Health)		0.06	0.06	0.06	0.06
FixedCost[r,t,y]	M$/Gvkm	171.78	171.78	171.78	171.78
InputActivityRatio[r,t,f,m,y] (Diesel for public transport)	PJ/ Gvkm	8.62	8.62	8.62	8.62
OperationalLife[r,t]	Years	15	15	15	15
OutputActivityRatio[r,t,f,m,y] (Public Transport in Buses)	PJ/ Gvkm	1	1	1	1
ResidualCapacity[r,t,y] (BAU)	Gvkm	0.4083	0.1678	0	0
ResidualCapacity[r,t,y] (NDP)	Gvkm	0.4083	0.2044	0	0
TotalAnnualMaxCapacity[r,t,y] (BAU)	Gvkm	0.4083	0.1678	0	0
TotalAnnualMaxCapacity[r,t,y] (NDP)	Gvkm	0.4083	0.2044	0	0
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (BAU)	Gvkm	0.4074	0.1674	0	0
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	0.4074	0.204	0	0
UnitFixedCost[r,t,y]	$	11244.7188	11244.7188	11244.7188	11244.7188

DistanceDriven[r,t,y]¶

The equation (1) shows the Distance Driven for TRBUSDSL01, for every scenario.

DistanceDriven=65460 [km/year] (1)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (2) shows the Emission Activity Ratio for TRBUSDSL01, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.1 (2)

The equation (3) shows the Emission Activity Ratio for TRBUSDSL01, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.16 (3)

The equation (4) shows the Emission Activity Ratio for TRBUSDSL01, for every scenario and associated to the emission Health.

EmissionActivityRatio=0.06 (4)

FixedCost[r,t,y]¶

The equation (5) shows the Fixed Cost for TRBUSDSL01, for every scenario.

FixedCost=171.78 [M$/Gvkm] (5)

Source:: This is the source.
Description:: This is the description.

InputActivityRatio[r,t,f,m,y]¶

The equation (6) shows the Input Activity Ratio for TRBUSDSL01, for every scenario and associated to the fuel Diesel for public transport.

InputActivityRatio=8.62 [PJ/Gvkm] (6)

OperationalLife[r,t]¶

The equation (7) shows the Operational Life for TRBUSDSL01, for every scenario.

OperationalLife=15 Years (7)

OutputActivityRatio[r,t,f,m,y]¶

The equation (8) shows the Output Activity Ratio for TRBUSDSL01, for every scenario and associated to the fuel Public Transport in Buses.

OutputActivityRatio=1 [PJ/Gvkm] (8)

ResidualCapacity[r,t,y]¶

The figure 1 shows the Residual Capacity for TRBUSDSL01, for the BAU scenario.

_images/TRBUSDSL01_ResidualCapacity_BAU.png

Figure 1) Residual Capacity for TRBUSDSL01 for the BAU scenario.¶

The figure 2 shows the Residual Capacity for TRBUSDSL01, for the NDP scenario.

_images/TRBUSDSL01_ResidualCapacity_NDP_OP.png

Figure 2) Residual Capacity for TRBUSDSL01 for the NDP scenario.¶

TotalAnnualMaxCapacity[r,t,y]¶

The figure 3 shows the Total Annual Max Capacity for TRBUSDSL01, for the BAU scenario.

_images/TRBUSDSL01_TotalAnnualMaxCapacity_BAU.png

Figure 3) Total Annual Max Capacity for TRBUSDSL01 for the BAU scenario.¶

The figure 4 shows the Total Annual Max Capacity for TRBUSDSL01, for the NDP scenario.

_images/TRBUSDSL01_TotalAnnualMaxCapacity_NDP_OP.png

Figure 4) Total Annual Max Capacity for TRBUSDSL01 for the NDP scenario.¶

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 5 shows the Total Technology Annual Activity Lower Limit for TRBUSDSL01, for the BAU scenario.

_images/TRBUSDSL01_TotalTechnologyAnnualActivityLowerLimit_BAU.png

Figure 5) Total Technology Annual Activity Lower Limit for TRBUSDSL01 for the BAU scenario.¶

The figure 6 shows the Total Technology Annual Activity Lower Limit for TRBUSDSL01, for the NDP scenario.

_images/TRBUSDSL01_TotalTechnologyAnnualActivityLowerLimit_NDP_OP.png

Figure 6) Total Technology Annual Activity Lower Limit for TRBUSDSL01 for the NDP scenario.¶

UnitFixedCost[r,t,y]¶

The equation (9) shows the Unit Fixed Cost for TRBUSDSL01, for every scenario.

UnitFixedCost=11244.7188 [$] (9)

Bus Diesel (new)¶


Set codification:		TRBUSDSL02
Description:		Bus Diesel (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	3399	3399	3399	3399
DistanceDriven[r,t,y]	km/year	65460	65460	65460	65460
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.1	0.1	0.1	0.1
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.16	0.16	0.16	0.16
EmissionActivityRatio[r,t,e,m,y] (Health)		0.06	0.06	0.06	0.06
FixedCost[r,t,y]	M$/Gvkm	171.78	171.78	171.78	171.78
InputActivityRatio[r,t,f,m,y] (Diesel for public transport)	PJ/ Gvkm	7.61	7.61	7.61	7.61
OperationalLife[r,t]	Years	15	15	15	15
OutputActivityRatio[r,t,f,m,y] (Public Transport in Buses)	PJ/ Gvkm	1	1	1	1
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (BAU)	Gvkm	0.1358	0.5024	0.7978	0.9279
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	0.1358	0	0	0
UnitCapitalCost[r,t,y]	$	222498.54	222498.54	222498.54	222498.54
UnitFixedCost[r,t,y]	$	11244.7188	11244.7188	11244.7188	11244.7188

CapitalCost[r,t,y]¶

The equation (1) shows the Capital Cost for TRBUSDSL02, for every scenario.

CapitalCost=3399 [M$/Gvkm] (1)

DistanceDriven[r,t,y]¶

The equation (2) shows the Distance Driven for TRBUSDSL02, for every scenario.

DistanceDriven=65460 [km/year] (2)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (3) shows the Emission Activity Ratio for TRBUSDSL02, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.1 (3)

The equation (4) shows the Emission Activity Ratio for TRBUSDSL02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.16 (4)

The equation (5) shows the Emission Activity Ratio for TRBUSDSL02, for every scenario and associated to the emission Health.

EmissionActivityRatio=0.06 (5)

FixedCost[r,t,y]¶

The equation (6) shows the Fixed Cost for TRBUSDSL02, for every scenario.

FixedCost=171.78 [M$/Gvkm] (6)

InputActivityRatio[r,t,f,m,y]¶

The equation (7) shows the Input Activity Ratio for TRBUSDSL02, for every scenario and associated to the fuel Diesel for public transport.

InputActivityRatio=7.61 [PJ/Gvkm] (7)

OperationalLife[r,t]¶

The equation (8) shows the Operational Life for TRBUSDSL02, for every scenario.

OperationalLife=15 Years (8)

OutputActivityRatio[r,t,f,m,y]¶

The equation (9) shows the Output Activity Ratio for TRBUSDSL02, for every scenario and associated to the fuel Public Transport in Buses.

OutputActivityRatio=1 [PJ/Gvkm] (9)

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 1 shows the Total Technology Annual Activity Lower Limit for TRBUSDSL02, for the BAU scenario.

_images/TRBUSDSL02_TotalTechnologyAnnualActivityLowerLimit_BAU.png

Figure 1) Total Technology Annual Activity Lower Limit for TRBUSDSL02 for the BAU scenario.¶

The figure 2 shows the Total Technology Annual Activity Lower Limit for TRBUSDSL02, for the NDP scenario.

_images/TRBUSDSL02_TotalTechnologyAnnualActivityLowerLimit_NDP_OP.png

Figure 2) Total Technology Annual Activity Lower Limit for TRBUSDSL02 for the NDP scenario.¶

UnitCapitalCost[r,t,y]¶

The equation (10) shows the Unit Capital Cost for TRBUSDSL02, for every scenario.

UnitCapitalCost=222495.54 [$] (10)

UnitFixedCost[r,t,y]¶

The equation (11) shows the Unit Fixed Cost for TRBUSDSL02, for every scenario.

UnitFixedCost=11244.7188 [$] (11)

Bus Electric (new)¶


Set codification:		TRBUSELC02
Description:		Bus Electric (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	5936	4517	4408	4300
DistanceDriven[r,t,y]	km/year	65460	65460	65460	65460
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.1	0.1	0.1	0.1
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.16	0.16	0.16	0.16
FixedCost[r,t,y]	M$/Gvkm	56.6874	56.6874	56.6874	56.6874
InputActivityRatio[r,t,f,m,y] (Electricity for public transport)	PJ/ Gvkm	4.79	4.79	4.79	4.79
OperationalLife[r,t]	Years	12	12	12	12
OutputActivityRatio[r,t,f,m,y] (Public Transport in Buses)	PJ/ Gvkm	1	1	1	1
TotalAnnualMaxCapacity[r,t,y] (BAU)	Gvkm	0	99999	99999	99999
TotalAnnualMaxCapacity[r,t,y] (NDP)	Gvkm	0	0.051	0.6698	1.0554
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	0	0.0509	0.6684	1.0533
UnitCapitalCost[r,t,y]	$	388570.56	295682.82	288547.68	281478
UnitFixedCost[r,t,y]	$	3710.7572	3710.7572	3710.7572	3710.7572

CapitalCost[r,t,y]¶

The figure 1 shows the Capital Cost for TRBUSELC02, for every scenario.

Figure 1) Capital Cost for TRBUSELC02 for every scenario.¶

DistanceDriven[r,t,y]¶

The equation (1) shows the Distance Driven for TRBUSELC02, for every scenario.

DistanceDriven=65460 [km/year] (1)

Source:: This is the source.
Description:: This is the description.

EmissionActivityRatio[r,t,e,m,y]¶

The equation (2) shows the Emission Activity Ratio for TRBUSELC02, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.1 (2)

The equation (3) shows the Emission Activity Ratio for TRBUSELC02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.16 (3)

Source:: This is the source.
Description:: This is the description.

FixedCost[r,t,y]¶

The equation (4) shows the Fixed Cost for TRBUSELC02, for every scenario.

FixedCost=56.6874 [M$/Gvkm] (4)

Source:: This is the source.
Description:: This is the description.

InputActivityRatio[r,t,f,m,y]¶

The equation (5) shows the Input Activity Ratio for TRBUSELC02, for every scenario and associated to the fuel Electricity for public transport.

InputActivityRatio=4.79 [PJ/Gvkm] (5)

Source:: This is the source.
Description:: This is the description.

OperationalLife[r,t]¶

The equation (6) shows the Operational Life for TRBUSELC02, for every scenario.

OperationalLife=12 Years (6)

Source:: This is the source.
Description:: This is the description.

OutputActivityRatio[r,t,f,m,y]¶

The equation (7) shows the Output Activity Ratio for TRBUSELC02, for every scenario and associated to the fuel Public Transport in Buses.

OutputActivityRatio=1 [PJ/Gvkm] (7)

Source:: This is the source.
Description:: This is the description.

TotalAnnualMaxCapacity[r,t,y]¶

The figure 2 shows the Total Annual Max Capacity for TRBUSELC02, for the BAU scenario.

_images/TRBUSELC02_TotalAnnualMaxCapacity_BAU.png

Figure 2) Total Annual Max Capacity for TRBUSELC02 for the BAU scenario.¶

The figure 3 shows the Total Annual Max Capacity for TRBUSELC02, for the NDP scenario.

_images/TRBUSELC02_TotalAnnualMaxCapacity_NDP_OP.png

Figure 3) Total Annual Max Capacity for TRBUSELC02 for the NDP scenario.¶

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 4 shows the Total Technology Annual Activity Lower Limit for TRBUSELC02, for the NDP scenario.

_images/TRBUSELC02_TotalTechnologyAnnualActivityLowerLimit_NDP_OP.png

Figure 4) Total Technology Annual Activity Lower Limit for TRBUSELC02 for the NDP scenario.¶

UnitCapitalCost[r,t,y]¶

The figure 5 shows the Unit Capital Cost for TRBUSELC02, for every scenario.

Figure 5) Unit Capital Cost for TRBUSELC02 for every scenario.¶

UnitFixedCost[r,t,y]¶

The equation (8) shows the Unit Fixed Cost for TRBUSELC02, for every scenario.

UnitFixedCost=3710.7572 [$] (8)

Bus Hybrid Electric-Diesel (new)¶


Set codification:		TRBUSHYBD02
Description:		Bus Hybrid Electric-Diesel (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	5012.67	3814.39	3722.35	3631.15
DistanceDriven[r,t,y]	km/year	65460	65460	65460	65460
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.1	0.1	0.1	0.1
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.16	0.16	0.16	0.16
EmissionActivityRatio[r,t,e,m,y] (Health)		0.03	0.03	0.03	0.03
FixedCost[r,t,y]	M$/Gvkm	85.89	85.89	85.89	85.89
InputActivityRatio[r,t,f,m,y] (Diesel for public transport)	PJ/ Gvkm	2.91	2.91	2.91	2.91
InputActivityRatio[r,t,f,m,y] (Electricity for public transport)	PJ/ Gvkm	2.91	2.91	2.91	2.91
OperationalLife[r,t]	Years	12	12	12	12
OutputActivityRatio[r,t,f,m,y] (Public Transport in Buses)	PJ/ Gvkm	1	1	1	1
TotalAnnualMaxCapacity[r,t,y]	Gvkm	0	99999	99999	99999
UnitCapitalCost[r,t,y]	$	328129.3782	249689.9694	243665.031	237695.079
UnitFixedCost[r,t,y]	$	5622.3594	5622.3594	5622.3594	5622.3594

CapitalCost[r,t,y]¶

The figure 1 shows the Capital Cost for TRBUSHYBD02, for every scenario.

Figure 1) Capital Cost for TRBUSHYBD02 for every scenario.¶

DistanceDriven[r,t,y]¶

The equation (1) shows the Distance Driven for TRBUSHYBD02, for every scenario.

DistanceDriven=65460 [km/year] (1)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (2) shows the Emission Activity Ratio for TRBUSHYBD02, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.1 (2)

The equation (3) shows the Emission Activity Ratio for TRBUSHYBD02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.16 (3)

The equation (4) shows the Emission Activity Ratio for TRBUSHYBD02, for every scenario and associated to the emission Health.

EmissionActivityRatio=0.03 (4)

FixedCost[r,t,y]¶

The equation (5) shows the Fixed Cost for TRBUSHYBD02, for every scenario.

FixedCost=85.89 [M$/Gvkm] (5)

InputActivityRatio[r,t,f,m,y]¶

The equation (6) shows the Input Activity Ratio for TRBUSHYBD02, for every scenario and associated to the fuel Electricity for public transport and Diesel for public transport.

InputActivityRatio=4.79 [PJ/Gvkm] (6)

OperationalLife[r,t]¶

The equation (7) shows the Operational Life for TRBUSHYBD02, for every scenario.

OperationalLife=12 Years (7)

OutputActivityRatio[r,t,f,m,y]¶

The equation (8) shows the Output Activity Ratio for TRBUSHYBD02, for every scenario and associated to the fuel Public Transport in Buses.

OutputActivityRatio=1 [PJ/Gvkm] (8)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 2 shows the Total Annual Max Capacity for TRBUSHYBD02, for every scenario.

_images/TRBUSHYBD02_TotalAnnualMaxCapacity.png

Figure 2) Total Annual Max Capacity for TRBUSHYBD02 for every scenario.¶

UnitCapitalCost[r,t,y]¶

The figure 3 shows the Unit Capital Cost for TRBUSHYBD02, for every scenario.

Figure 3) Unit Capital Cost for TRBUSHYBD02 for every scenario.¶

Source:: This is the source.
Description:: This is the description.

UnitFixedCost[r,t,y]¶

The equation (9) shows the Unit Fixed Cost for TRBUSHYBD02, for every scenario.

UnitFixedCost=3710.7572 [$] (9)

Bus Hydrogen (new)¶


Set codification:		TRBUSHYD02
Description:		Bus Hydrogen (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	12588	11795	11001	10208
DistanceDriven[r,t,y]	km/year	65460	65460	65460	65460
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.1	0.1	0.1	0.1
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.16	0.16	0.16	0.16
FixedCost[r,t,y]	M$/Gvkm	56.6874	56.6874	56.6874	56.6874
InputActivityRatio[r,t,f,m,y] (Hydrogen for public transport)	PJ/ Gvkm	5.45	5.45	5.45	5.45
OperationalLife[r,t]	Years	12	12	12	12
OutputActivityRatio[r,t,f,m,y] (Public Transport in Buses)	PJ/ Gvkm	1	1	1	1
TotalAnnualMaxCapacity[r,t,y]	Gvkm	0	99999	99999	99999
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	0	0.0045	0.0754	0.1239
UnitCapitalCost[r,t,y]	$	824010.48	772100.7	720125.46	668215.68
UnitFixedCost[r,t,y]	$	3710.7572	3710.7572	3710.7572	3710.7572

CapitalCost[r,t,y]¶

The figure 1 shows the Capital Cost for TRBUSHYD02, for every scenario.

Figure 1) Capital Cost for TRBUSHYD02 for every scenario.¶

DistanceDriven[r,t,y]¶

The equation (1) shows the Distance Driven for TRBUSHYD02, for every scenario.

DistanceDriven=65460 [km/year] (1)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (2) shows the Emission Activity Ratio for TRBUSHYD02, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.1 (2)

The equation (3) shows the Emission Activity Ratio for TRBUSHYD02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.16 (3)

FixedCost[r,t,y]¶

The equation (4) shows the Fixed Cost for TRBUSHYD02, for every scenario.

FixedCost=56.6874 [M$/Gvkm] (4)

InputActivityRatio[r,t,f,m,y]¶

The equation (5) shows the Input Activity Ratio for TRBUSHYD02, for every scenario and associated to the fuel Hydrogen for public transport.

InputActivityRatio=5.45 [PJ/Gvkm] (5)

OperationalLife[r,t]¶

The equation (6) shows the Operational Life for TRBUSHYD02, for every scenario.

OperationalLife=12 Years (6)

OutputActivityRatio[r,t,f,m,y]¶

The equation (7) shows the Output Activity Ratio for TRBUSHYD02, for every scenario and associated to the fuel Public Transport in Buses.

OutputActivityRatio=1 [PJ/Gvkm] (7)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 2 shows the Total Annual Max Capacity for TRBUSHYD02, for every scenario.

_images/TRBUSHYD02_TotalAnnualMaxCapacity.png

Figure 2) Total Annual Max Capacity for TRBUSHYD02 for every scenario.¶

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 3 shows the Total Technology Annual Activity Lower Limit for TRBUSHYD02, for the NDP scenario.

_images/TRBUSHYD02_TotalTechnologyAnnualActivityLowerLimit_OP.png

Figure 3) Total Technology Annual Activity Lower Limit for TRBUSHYD02 for the NDP scenario.¶

UnitCapitalCost[r,t,y]¶

The figure 4 shows the Unit Capital Cost for TRBUSHYD02, for every scenario.

Figure 4) Unit Capital Cost for TRBUSHYD02 for every scenario.¶

UnitFixedCost[r,t,y]¶

The equation (8) shows the Unit Fixed Cost for TRBUSHYD02, for every scenario.

UnitFixedCost=3710.7572 [$] (8)

Bus LPG (new)¶


Set codification:		TRBUSLPG02
Description:		Bus LPG (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	3755	3755	3755	3755
DistanceDriven[r,t,y]	km/year	65460	65460	65460	65460
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.1	0.1	0.1	0.1
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.16	0.16	0.16	0.16
EmissionActivityRatio[r,t,e,m,y] (Health)		0.03	0.03	0.03	0.03
FixedCost[r,t,y]	M$/Gvkm	100.77	100.77	100.77	100.77
InputActivityRatio[r,t,f,m,y] (LPG for public transport)	PJ/ Gvkm	9.92	9.92	9.92	9.92
OperationalLife[r,t]	Years	15	15	15	15
OutputActivityRatio[r,t,f,m,y] (Public Transport in Buses)	PJ/ Gvkm	1	1	1	1
TotalAnnualMaxCapacity[r,t,y]	Gvkm	0	99999	99999	99999
UnitCapitalCost[r,t,y]	$	245802.3	245802.3	245802.3	245802.3
UnitFixedCost[r,t,y]	$	6596.4042	6596.4042	6596.4042	6596.4042

CapitalCost[r,t,y]¶

The equation (1) shows the Capital Cost for TRBUSLPG02, for every scenario.

CapitalCost=3755 [M$/Gvkm] (1)

DistanceDriven[r,t,y]¶

The equation (2) shows the Distance Driven for TRBUSLPG02, for every scenario.

DistanceDriven=65460 [km/year] (2)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (3) shows the Emission Activity Ratio for TRBUSLPG02, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.1 (3)

The equation (4) shows the Emission Activity Ratio for TRBUSLPG02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.16 (4)

The equation (5) shows the Emission Activity Ratio for TRBUSLPG02, for every scenario and associated to the emission Health.

EmissionActivityRatio=0.03 (5)

FixedCost[r,t,y]¶

The equation (6) shows the Fixed Cost for TRBUSLPG02, for every scenario.

FixedCost=100.77 [M$/Gvkm] (6)

InputActivityRatio[r,t,f,m,y]¶

The equation (7) shows the Input Activity Ratio for TRBUSLPG02, for every scenario and associated to the fuel LPG for public transport.

InputActivityRatio=9.92 [PJ/Gvkm] (7)

OperationalLife[r,t]¶

The equation (8) shows the Operational Life for TRBUSLPG02, for every scenario.

OperationalLife=15 Years (8)

OutputActivityRatio[r,t,f,m,y]¶

The equation (9) shows the Output Activity Ratio for TRBUSLPG02, for every scenario and associated to the fuel Public Transport in Buses.

OutputActivityRatio=1 [PJ/Gvkm] (9)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 1 shows the Total Annual Max Capacity for TRBUSLPG02, for every scenario.

_images/TRBUSLPG02_TotalAnnualMaxCapacity.png

Figure 1) Total Annual Max Capacity for TRBUSLPG02 for every scenario.¶

UnitCapitalCost[r,t,y]¶

The equation (11) shows the Unit Capital Cost for TRBUSLPG02, for every scenario.

UnitCapitalCost=245802.3 [$] (11)

UnitFixedCost[r,t,y]¶

The equation (12) shows the Unit Fixed Cost for TRBUSLPG02, for every scenario.

UnitFixedCost=6596.4042 [$] (12)

Light Duty Vehicles¶

Light Duty (Grouping Technology)¶


Set codification:		Techs_LD
Description:		Light Duty
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
DistanceDriven[r,t,y]	km/year	14773	14773	14773	14773
InputActivityRatio[r,t,f,m,y] (Public Transport in Bus)	Gpkm/ Gvkm	1	1	1	1
OperationalLife[r,t]	Years	1	1	1	1
OutputActivityRatio[r,t,f,m,y] (Transport Demand Passenger Public)	Gpkm/ Gvkm	1.5	1.5	1.5	1.5
TotalAnnualMaxCapacity[r,t,y] (BAU)	Gvkm	11.505	13.934	16.6408	19.5691
TotalAnnualMaxCapacity[r,t,y] (NDP)	Gvkm	11.5057	13.5359	11.5218	12.4342
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (BAU)	Gvkm	11.482	13.9062	16.6076	19.53
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	11.4825	13.5072	11.499	12.4097

DistanceDriven[r,t,y]¶

The equation (1) shows the Distance Driven for Techs_LD, for every scenario.

DistanceDriven=14773 [km/year] (1)

InputActivityRatio[r,t,f,m,y]¶

The equation (2) shows the Input Activity Ratio for Techs_LD, for every scenario and associated to the fuel Private Transport in Light Duty.

InputActivityRatio=1 [Gpkm/Gvkm] (2)

OperationalLife[r,t]¶

The equation (3) shows the Operational Life for Techs_LD, for every scenario.

OperationalLife=1 Years (3)

OutputActivityRatio[r,t,f,m,y]¶

The equation (4) shows the Output Activity Ratio for Techs_LD, for every scenario and associated to the fuel Transport Demand Passenger Private.

OutputActivityRatio=1.5 [Gpkm/Gvkm] (4)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 1 shows the Total Annual Max Capacity for Techs_LD, for the BAU scenario.

_images/Techs_LD_TotalAnnualMaxCapacity_BAU.png

Figure 1) Total Annual Max Capacity for Techs_LD for the BAU scenario.¶

The figure 2 shows the Total Annual Max Capacity for Techs_LD, for the NDP scenario.

_images/Techs_LD_TotalAnnualMaxCapacity_NDP_OP15C.png

Figure 2) Total Annual Max Capacity for Techs_LD for the NDP scenario.¶

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 3 shows the Total Technology Annual Activity Lower Limit for Techs_LD, for the BAU scenario.

_images/Techs_LD_TotalTechnologyAnnualActivityLowerLimit_BAU.png

Figure 3) Total Technology Annual Activity Lower Limit for Techs_LD for the BAU scenario.¶

The figure 4 shows the Total Technology Annual Activity Lower Limit for Techs_LD, for the NDP scenario.

_images/Techs_LD_TotalTechnologyAnnualActivityLowerLimit_NDP_OP.png

Figure 4) Total Technology Annual Activity Lower Limit for Techs_LD for the NDP scenario.¶

Light Duty Diesel (existing)¶


Set codification:		TRLDDSL01
Description:		Light Duty Diesel (existing)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
DistanceDriven[r,t,y]	km/year	14773	14773	14773	14773
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.09	0.09	0.09	0.09
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
EmissionActivityRatio[r,t,e,m,y] (Health)		0.01	0.01	0.01	0.01
FixedCost[r,t,y]	M$/Gvkm	49.32	49.32	49.32	49.32
InputActivityRatio[r,t,f,m,y] (Diesel for private transport)	PJ/ Gvkm	2.1945	1.9635	1.848	1.848
OperationalLife[r,t]	Years	15	15	15	15
OutputActivityRatio[r,t,f,m,y] (Private Transport in Light Duty)	PJ/ Gvkm	1	1	1	1
ResidualCapacity[r,t,y] (BAU)	Gvkm	0.3022	0.122	0	0
ResidualCapacity[r,t,y] (NDP)	Gvkm	0.3022	0.1015	0	0
TotalAnnualMaxCapacity[r,t,y] (BAU)	Gvkm	0.3022	0.122	0	0
TotalAnnualMaxCapacity[r,t,y] (NDP)	Gvkm	0.3022	0.1015	0	0
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (BAU)	Gvkm	0.3016	0.1217	0	0
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	0.3016	0.1013	0	0
UnitFixedCost[r,t,y]	$	728.6044	728.6044	728.6044	728.6044

DistanceDriven[r,t,y]¶

The equation (1) shows the Distance Driven for TRLDDSL01, for every scenario.

DistanceDriven=14773 [km/year] (1)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (2) shows the Emission Activity Ratio for TRLDDSL01, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.09 (2)

The equation (3) shows the Emission Activity Ratio for TRLDDSL01, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (3)

The equation (4) shows the Emission Activity Ratio for TRLDDSL01, for every scenario and associated to the emission Health.

EmissionActivityRatio=0.01 (4)

FixedCost[r,t,y]¶

The equation (5) shows the Fixed Cost for TRLDDSL01, for every scenario.

FixedCost=49.32 [M$/Gvkm] (5)

InputActivityRatio[r,t,f,m,y]¶

The figure 1 shows the Input Activity Ratio for TRLDDSL01, for every scenario and associated to the fuel Diesel for private transport.

_images/InputActivityRatio_TRLDDSL01.png

Figure 1) Input Activity Ratio for TRLDDSL01 for every scenario. .¶

OperationalLife[r,t]¶

The equation (6) shows the Operational Life for TRLDDSL01, for every scenario.

OperationalLife=15 Years (6)

OutputActivityRatio[r,t,f,m,y]¶

The equation (7) shows the Output Activity Ratio for TRLDDSL01, for every scenario and associated to the fuel Private Transport in Light Duty.

OutputActivityRatio=1 [PJ/Gvkm] (7)

ResidualCapacity[r,t,y]¶

The figure 2 shows the Residual Capacity for TRLDDSL01, for every scenario.

Figure 2) Residual Capacity for TRLDDSL01 for every scenario. .¶

TotalAnnualMaxCapacity[r,t,y]¶

The figure 3 shows the Total Annual Max Capacity for TRLDDSL01, for every scenario.

_images/TotalAnnualMaxCapacity_TRLDDSL01.png

Figure 4) Total Annual Max Capacity for TRLDDSL01 for the BAU scenario. :download:`. <doc_imgs/TotalAnnualMaxCapacity_TRLDDSL01.csv>¶

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 4 shows the Total Technology Annual Activity Lower Limit for TRLDDSL01, for every scenario.

_images/TotalTechnologyAnnualActivityLowerLimit_TRLDDSL01.png

Figure 6) Total Technology Annual Activity Lower Limit for TRLDDSL01 for the BAU scenario. :download:`. <doc_imgs/TotalTechnologyAnnualActivityLowerLimit_TRLDDSL01.csv>¶

UnitFixedCost[r,t,y]¶

The equation (8) shows the Unit Fixed Cost for TRLDDSL01, for every scenario.

UnitFixedCost=728.6044 [$] (8)

Light Duty Diesel (new)¶


Set codification:		TRLDDSL02
Description:		Light Duty Diesel (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	1239.09	1239.09	1239.09	1239.09
DistanceDriven[r,t,y]	km/year	14773	14773	14773	14773
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.09	0.09	0.09	0.09
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
EmissionActivityRatio[r,t,e,m,y] (Health)		0.01	0.01	0.01	0.01
FixedCost[r,t,y]	M$/Gvkm	49.32	49.32	49.32	49.32
InputActivityRatio[r,t,f,m,y] (Diesel for private transport)	PJ/ Gvkm	1.748285714	1.548857143	1.349428571	1.15
OperationalLife[r,t]	Years	15	15	15	15
OutputActivityRatio[r,t,f,m,y] (Private Transport in Light Duty)	PJ/ Gvkm	1	1	1	1
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (BAU)	Gvkm	0.1005	0.3652	0.4944	0.5814
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	0.1005	0	0	0
UnitCapitalCost[r,t,y]	$	18305.0766	18305.0766	18305.0766	18305.0766
UnitFixedCost[r,t,y]	$	728.6044	728.6044	728.6044	728.6044

CapitalCost[r,t,y]¶

The equation (1) shows the Capital Cost for TRLDDSL02, for every scenario.

CapitalCost=1239.09 [M$/Gvkm] (1)

DistanceDriven[r,t,y]¶

The equation (2) shows the Distance Driven for TRLDDSL02, for every scenario.

DistanceDriven=14773 [km/year] (2)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (3) shows the Emission Activity Ratio for TRLDDSL02, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.09 (3)

The equation (4) shows the Emission Activity Ratio for TRLDDSL02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (4)

The equation (5) shows the Emission Activity Ratio for TRLDDSL02, for every scenario and associated to the emission Health.

EmissionActivityRatio=0.01 (5)

FixedCost[r,t,y]¶

The equation (6) shows the Fixed Cost for TRLDDSL02, for every scenario.

FixedCost=49.32 [M$/Gvkm] (6)

InputActivityRatio[r,t,f,m,y]¶

The figure 1 shows the Input Activity Ratio for TRLDDSL02, for every scenario and associated to the fuel Diesel for private transport.

_images/InputActivityRatio_TRLDDSL02.png

Figure 1) Input Activity Ratio for TRLDDSL02 for every scenario. :download:`. <doc_imgs/InputActivityRatio_TRLDDSL02.csv>¶

OperationalLife[r,t]¶

The equation (7) shows the Operational Life for TRLDDSL02, for every scenario.

OperationalLife=15 Years (7)

OutputActivityRatio[r,t,f,m,y]¶

The equation (8) shows the Output Activity Ratio for TRLDDSL02, for every scenario and associated to the fuel Private Transport in Light Duty.

OutputActivityRatio=1 [PJ/Gvkm] (8)

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 2 shows the Total Technology Annual Activity Lower Limit for TRLDDSL02, for the each scenario.

_images/TotalTechnologyAnnualActivityLowerLimit_TRLDDSL02.png

Figure 2) Total Technology Annual Activity Lower Limit for TRLDDSL02 for each scenario. :download:`. <doc_imgs/TotalTechnologyAnnualActivityLowerLimit_TRLDDSL02.csv>¶

UnitCapitalCost[r,t,y]¶

The equation (9) shows the Unit Capital Cost for TRLDDSL02, for every scenario.

UnitCapitalCost=18305.0766 [$] (9)

UnitFixedCost[r,t,y]¶

The equation (10) shows the Unit Fixed Cost for TRLDDSL02, for every scenario.

UnitFixedCost=728.6044 [$] (10)

Light Duty Electric (new)¶


Set codification:		TRLDELE02
Description:		Light Duty Electric (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	1869.69	1389.05	1355.9	1321.96
DistanceDriven[r,t,y]	km/year	14773	14773	14773	14773
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.09	0.09	0.09	0.09
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
FixedCost[r,t,y]	M$/Gvkm	16.2756	16.2756	16.2756	16.2756
InputActivityRatio[r,t,f,m,y] (Electricity for private transport)	PJ/ Gvkm	0.54	0.54	0.54	0.54
OperationalLife[r,t]	Years	12	12	12	12
OutputActivityRatio[r,t,f,m,y] (Private Transport in Light Duty)	PJ/ Gvkm	1	1	1	1
TotalAnnualMaxCapacity[r,t,y] (BAU)	Gvkm	0.018537874	0.246969626	0.563077999	0.9774765
TotalAnnualMaxCapacity[r,t,y] (NDP)	Gvkm	0	0.9205	8.0368	11.6944
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (BAU)	Gvkm	0.018500835	0.24647618	0.561952968	0.9755235
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	0	0.9185	8.0209	11.6713
UnitCapitalCost[r,t,y]	$	27620.9304	20520.4356	20030.7107	19529.3151
UnitFixedCost[r,t,y]	$	240.4394	240.4394	240.4394	240.4394

CapitalCost[r,t,y]¶

The figure 1 shows the Capital Cost for TRLDELE02, for every scenario.

Figure 1) Capital Cost for TRLDELE02 for every scenario. :download:`. <doc_imgs/CapitalCost_TRLDELE02.csv>¶

DistanceDriven[r,t,y]¶

The equation (1) shows the Distance Driven for TRLDELE02, for every scenario.

DistanceDriven=14773 [km/year] (1)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (2) shows the Emission Activity Ratio for TRLDELE02, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.09 (2)

The equation (3) shows the Emission Activity Ratio for TRLDELE02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (3)

FixedCost[r,t,y]¶

The equation (4) shows the Fixed Cost for TRLDELE02, for every scenario.

FixedCost=16.2756 [M$/Gvkm] (4)

InputActivityRatio[r,t,f,m,y]¶

The equation (5) shows the Input Activity Ratio for TRLDELE02, for every scenario and associated to the fuel Electricity for private transport.

InputActivityRatio=0.54 [PJ/Gvkm] (5)

OperationalLife[r,t]¶

The equation (6) shows the Operational Life for TRLDELE02, for every scenario.

OperationalLife=12 Years (6)

OutputActivityRatio[r,t,f,m,y]¶

The equation (7) shows the Output Activity Ratio for TRLDELE02, for every scenario and associated to the fuel Private Transport in Light Duty.

OutputActivityRatio=1 [PJ/Gvkm] (7)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 2 shows the Total Annual Max Capacity for TRLDELE02, for each scenario.

_images/TotalAnnualMaxCapacity_TRLDELE02.png

Figure 2) Total Annual Max Capacity for TRLDELE02 for the BAU scenario. :download:`. <doc_imgs/TotalAnnualMaxCapacity_TRLDELE02.csv>¶

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 4 shows the Total Technology Annual Activity Lower Limit for TRLDELE02, for the BAU scenario.

Figure 4) Total Technology Annual Activity Lower Limit for TRLDELE02 for the BAU scenario. :download:`. <doc_imgs/TotalAnnualMaxCapacity_TRLDELE02.csv>¶

UnitCapitalCost[r,t,y]¶

The figure 6 shows the Unit Capital Cost for TRLDELE02, for every scenario.

Figure 6) Unit Capital Cost for TRLDELE02 for every scenario. :download:`. <doc_imgs/UnitCapitalCost_TRLDELE02.csv>¶

UnitFixedCost[r,t,y]¶

The equation (8) shows the Unit Fixed Cost for TRLDELE02, for every scenario.

UnitFixedCost=240.4394 [$] (8)

Light Duty Gasoline (existing)¶


Set codification:		TRLDGAS01
Description:		Light Duty Gasoline (existing)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
DistanceDriven[r,t,y]	km/year	14773	14773	14773	14773
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.09	0.09	0.09	0.09
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
FixedCost[r,t,y]	M$/Gvkm	49.32	49.32	49.32	49.32
InputActivityRatio[r,t,f,m,y] (Gasoline for private transport)	PJ/ Gvkm	2.299	2.057	1.936	1.936
OperationalLife[r,t]	Years	15	15	15	15
OutputActivityRatio[r,t,f,m,y] (Private Transport in Light Duty)	PJ/ Gvkm	1	1	1	1
ResidualCapacity[r,t,y] (BAU)	Gvkm	8.325	3.3599	0	0
ResidualCapacity[r,t,y] (NDP)	Gvkm	8.325	2.7974	0	0
TotalAnnualMaxCapacity[r,t,y] (BAU)	Gvkm	8.325	3.3599	0	0
TotalAnnualMaxCapacity[r,t,y] (NDP)	Gvkm	8.325	2.7974	0	0
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (BAU)	Gvkm	8.3083	3.3532	0	0
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	8.3083	2.7918	0	0
UnitFixedCost[r,t,y]	$	728.6044	728.6044	728.6044	728.6044

DistanceDriven[r,t,y]¶

The equation (1) shows the Distance Driven for TRLDGAS01, for every scenario.

DistanceDriven=14773 [km/year] (1)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (2) shows the Emission Activity Ratio for TRLDGAS01, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.09 (2)

The equation (3) shows the Emission Activity Ratio for TRLDGAS01, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (3)

FixedCost[r,t,y]¶

The equation (4) shows the Fixed Cost for TRLDGAS01, for every scenario.

FixedCost=49.32 [M$/Gvkm] (4)

InputActivityRatio[r,t,f,m,y]¶

The figure 1 shows the Input Activity Ratio for TRLDGAS01, for every scenario and associated to the fuel Gasoline for private transport.

_images/TRLDGAS01_InputActivityRatio.png

Figure 1) Input Activity Ratio for TRLDGAS01 for every scenario. :download:`. <doc_imgs/ResidualCapacity_TRLDDSL01.csv>¶

OperationalLife[r,t]¶

The equation (5) shows the Operational Life for TRLDGAS01, for every scenario.

OperationalLife=15 Years (5)

OutputActivityRatio[r,t,f,m,y]¶

The equation (6) shows the Output Activity Ratio for TRLDGAS01, for every scenario and associated to the fuel Private Transport in Light Duty.

OutputActivityRatio=1 [PJ/Gvkm] (6)

ResidualCapacity[r,t,y]¶

The figure 2 shows the Residual Capacity for TRLDGAS01, for the BAU scenario.

_images/TRLDGAS01_ResidualCapacity_BAU.png

Figure 2) Residual Capacity for TRLDGAS01 for the BAU scenario. :download:`. <doc_imgs/ResidualCapacity_TRLDDSL01.csv>¶

The figure 3 shows the Residual Capacity for TRLDGAS01, for the NDP scenario.

_images/TRLDGAS01_ResidualCapacity_NDP_OP.png

Figure 3) Residual Capacity for TRLDGAS01 for the NDP scenario. :download:`. <doc_imgs/ResidualCapacity_TRLDDSL01.csv>¶

TotalAnnualMaxCapacity[r,t,y]¶

The figure 4 shows the Total Annual Max Capacity for TRLDGAS01, for the BAU scenario.

_images/TRLDGAS01_TotalAnnualMaxCapacity_BAU.png

Figure 4) Total Annual Max Capacity for TRLDGAS01 for the BAU scenario. :download:`. <doc_imgs/ResidualCapacity_TRLDDSL01.csv>¶

The figure 5 shows the Total Annual Max Capacity for TRLDGAS01, for the NDP scenario.

_images/TRLDGAS01_TotalAnnualMaxCapacity_NDP_OP.png

Figure 5) Total Annual Max Capacity for TRLDGAS01 for the NDP scenario. :download:`. <doc_imgs/ResidualCapacity_TRLDDSL01.csv>¶

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 6 shows the Total Technology Annual Activity Lower Limit for TRLDGAS01, for the BAU scenario.

_images/TRLDGAS01_TotalTechnologyAnnualActivityLowerLimit_BAU.png

Figure 6) Total Technology Annual Activity Lower Limit for TRLDGAS01 for the BAU scenario. :download:`. <doc_imgs/ResidualCapacity_TRLDDSL01.csv>¶

The figure 7 shows the Total Technology Annual Activity Lower Limit for TRLDGAS01, for the NDP scenario.

_images/TRLDGAS01_TotalTechnologyAnnualActivityLowerLimit_NDP_OP.png

Figure 7) Total Technology Annual Activity Lower Limit for TRLDGAS01 for the NDP scenario. :download:`. <doc_imgs/ResidualCapacity_TRLDDSL01.csv>¶

UnitFixedCost[r,t,y]¶

The equation (7) shows the Unit Fixed Cost for TRLDGAS01, for every scenario.

UnitFixedCost=728.6044 [$] (7)

Light Duty Gasoline (new)¶


Set codification:		TRLDGAS02
Description:		Light Duty Gasoline (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	1127.02	1127.02	1127.02	1127.02
DistanceDriven[r,t,y]	km/year	14773	14773	14773	14773
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.09	0.09	0.09	0.09
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
FixedCost[r,t,y]	M$/Gvkm	49.32	49.32	49.32	49.32
InputActivityRatio[r,t,f,m,y] (Gasoline for private transport)	PJ/ Gvkm	1.862285714	1.714857143	1.567428571	1.42
OperationalLife[r,t]	Years	15	15	15	15
OutputActivityRatio[r,t,f,m,y] (Private Transport in Light Duty)	PJ/ Gvkm	1	1	1	1
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (BAU)	Gvkm	2.7699	10.0643	13.622	16.019
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	2.7699	0	0	0
UnitCapitalCost[r,t,y]	$	16649.4665	16649.4665	16649.4665	16649.4665
UnitFixedCost[r,t,y]	$	728.6044	728.6044	728.6044	728.6044

CapitalCost[r,t,y]¶

The equation (1) shows the Capital Cost for TRLDGAS02, for every scenario.

CapitalCost=1127.02 [M$/Gvkm] (1)

DistanceDriven[r,t,y]¶

The equation (2) shows the Distance Driven for TRLDGAS02, for every scenario.

DistanceDriven=14773 [km/year] (2)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (3) shows the Emission Activity Ratio for TRLDGAS02, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.09 (3)

The equation (4) shows the Emission Activity Ratio for TRLDGAS02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (4)

FixedCost[r,t,y]¶

The equation (5) shows the Fixed Cost for TRLDGAS02, for every scenario.

FixedCost=49.32 [M$/Gvkm] (5)

InputActivityRatio[r,t,f,m,y]¶

The figure 1 shows the Input Activity Ratio for TRLDGAS02, for every scenario and associated to the fuel Gasoline for private transport.

_images/TRLDGAS02_InputActivityRatio.png

Figure 1) Input Activity Ratio for TRLDGAS02 for every scenario. :download:`. <doc_imgs/ResidualCapacity_TRLDDSL01.csv>¶

OperationalLife[r,t]¶

The equation (6) shows the Operational Life for TRLDGAS02, for every scenario.

OperationalLife=15 Years (6)

OutputActivityRatio[r,t,f,m,y]¶

The equation (7) shows the Output Activity Ratio for TRLDGAS02, for every scenario and associated to the fuel Private Transport in Light Duty.

OutputActivityRatio=1 [PJ/Gvkm] (7)

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 2 shows the Total Technology Annual Activity Lower Limit for TRLDGAS02, for the BAU scenario.

_images/TRLDGAS02_TotalTechnologyAnnualActivityLowerLimit_BAU.png

Figure 2) Total Technology Annual Activity Lower Limit for TRLDGAS02 for the BAU scenario. :download:`. <doc_imgs/ResidualCapacity_TRLDDSL01.csv>¶

The figure 3 shows the Total Technology Annual Activity Lower Limit for TRLDGAS02, for the NDP scenario.

_images/TRLDGAS02_TotalTechnologyAnnualActivityLowerLimit_NDP_OP.png

Figure 3) Total Technology Annual Activity Lower Limit for TRLDGAS02 for the NDP scenario. :download:`. <doc_imgs/ResidualCapacity_TRLDDSL01.csv>¶

UnitCapitalCost[r,t,y]¶

The equation (8) shows the Unit Capital Cost for TRLDGAS02, for every scenario.

UnitCapitalCost=16649.4665 [$] (8)

UnitFixedCost[r,t,y]¶

The equation (9) shows the Unit Fixed Cost for TRLDGAS02, for every scenario.

UnitFixedCost=728.6044 [$] (9)

Light Hybrid Electric-Gasoline (new)¶


Set codification:		TRLDHYBG02
Description:		Light Hybrid Electric-Gasoline (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	2039.37	2039.37	2039.37	2039.37
DistanceDriven[r,t,y]	km/year	14773	14773	14773	14773
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.09	0.09	0.09	0.09
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
FixedCost[r,t,y]	M$/Gvkm	24.66	24.66	24.66	24.66
InputActivityRatio[r,t,f,m,y] (Electricity for private transport)	PJ/ Gvkm	0.42	0.42	0.42	0.42
InputActivityRatio[r,t,f,m,y] (Gasoline for private transport)	PJ/ Gvkm	0.42	0.42	0.42	0.42
OperationalLife[r,t]	Years	12	12	12	12
OutputActivityRatio[r,t,f,m,y] (Private Transport in Four Wheel Drive)	PJ/ Gvkm	1	1	1	1
TotalAnnualMaxCapacity[r,t,y] (BAU)	Gvkm	0.009259677	0.123361452	0.281257742	0.48825
UnitCapitalCost[r,t,y]	$	30127.613	30127.613	30127.613	30127.613
UnitFixedCost[r,t,y]	$	364.3022	364.3022	364.3022	364.3022

CapitalCost[r,t,y]¶

The equation (1) shows the Capital Cost for TRLDHYBG02, for every scenario.

CapitalCost=2039.37 [M$/Gvkm] (1)

DistanceDriven[r,t,y]¶

The equation (2) shows the Distance Driven for TRLDHYBG02, for every scenario.

DistanceDriven=14773 [km/year] (2)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (3) shows the Emission Activity Ratio for TRLDHYBG02, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.09 (3)

The equation (4) shows the Emission Activity Ratio for TRLDHYBG02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (4)

FixedCost[r,t,y]¶

The equation (5) shows the Fixed Cost for TRLDHYBG02, for every scenario.

FixedCost=24.66 [M$/Gvkm] (5)

InputActivityRatio[r,t,f,m,y]¶

The equation (6) shows the Input Activity Ratio for TRLDHYBG02, for every scenario and associated to the fuel Electricity for public transport and Gasoline for public transport.

InputActivityRatio=0.42 [PJ/Gvkm] (6)

OperationalLife[r,t]¶

The equation (7) shows the Operational Life for TRLDHYBG02, for every scenario.

OperationalLife=12 Years (7)

OutputActivityRatio[r,t,f,m,y]¶

The equation (8) shows the Output Activity Ratio for TRLDHYBG02, for every scenario and associated to the fuel Private Transport in Light Duty.

OutputActivityRatio=1 [PJ/Gvkm] (8)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 1 shows the Total Annual Max Capacity for TRLDHYBG02, for the BAU scenario.

_images/TRLDHYBG02_TotalAnnualMaxCapacity.png

Figure 1) Total Annual Max Capacity for TRLDHYBG02 for the BAU scenario. :download:`. <doc_imgs/ResidualCapacity_TRLDDSL01.csv>¶

UnitCapitalCost[r,t,y]¶

The equation (9) shows the Unit Capital Cost for TRLDHYBG02, for every scenario.

UnitCapitalCost=30127.613 [$] (9)

UnitFixedCost[r,t,y]¶

The equation (10) shows the Unit Fixed Cost for TRLDHYBG02, for every scenario.

UnitFixedCost=364.3022 [$] (10)

Light Plug-in Hybrid Electric-Gasoline (new)¶


Set codification:		TRLDPHYBG02
Description:		Light Plug-in Hybrid Electric-Gasoline (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	1869.69	1389.05	1355.9	1321.96
DistanceDriven[r,t,y]	km/year	14773	14773	14773	14773
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.09	0.09	0.09	0.09
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
FixedCost[r,t,y]	M$/Gvkm	24.66	24.66	24.66	24.66
InputActivityRatio[r,t,f,m,y] (Electricity for private transport)	PJ/ Gvkm	0.29	0.29	0.29	0.29
InputActivityRatio[r,t,f,m,y] (Gasoline for private transport)	PJ/ Gvkm	0.29	0.29	0.29	0.29
OperationalLife[r,t]	Years	12	12	12	12
OutputActivityRatio[r,t,f,m,y] (Private Transport in Light Duty)	PJ/ Gvkm	1	1	1	1
TotalAnnualMaxCapacity[r,t,y] (BAU)	Gvkm	0.009259677	0.123361452	0.281257742	0.48825
UnitCapitalCost[r,t,y]	$	27620.9304	20520.4356	20030.7107	19529.3151
UnitFixedCost[r,t,y]	$	364.3022	364.3022	364.3022	364.3022

CapitalCost[r,t,y]¶

The figure 1 shows the Capital Cost for TRLDPHYBG02, for every scenario.

Figure 1) Capital Cost for TRLDPHYBG02 for every scenario. :download:`. <doc_imgs/ResidualCapacity_TRLDDSL01.csv>¶

DistanceDriven[r,t,y]¶

The equation (1) shows the Distance Driven for TRLDPHYBG02, for every scenario.

DistanceDriven=14773 [km/year] (1)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (2) shows the Emission Activity Ratio for TRLDPHYBG02, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.09 (2)

The equation (3) shows the Emission Activity Ratio for TRLDPHYBG02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (3)

FixedCost[r,t,y]¶

The equation (4) shows the Fixed Cost for TRLDPHYBG02, for every scenario.

FixedCost=24.66 [M$/Gvkm] (4)

InputActivityRatio[r,t,f,m,y]¶

The equation (5) shows the Input Activity Ratio for TRLDPHYBG02, for every scenario and associated to the fuel Electricity for public transport and Gasoline for public transport.

InputActivityRatio=0.29 [PJ/Gvkm] (5)

OperationalLife[r,t]¶

The equation (6) shows the Operational Life for TRLDPHYBG02, for every scenario.

OperationalLife=12 Years (6)

OutputActivityRatio[r,t,f,m,y]¶

The equation (7) shows the Output Activity Ratio for TRLDPHYBG02, for every scenario and associated to the fuel Private Transport in Light Duty.

OutputActivityRatio=1 [PJ/Gvkm] (7)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 2 shows the Total Annual Max Capacity for TRLDPHYBG02, for the BAU scenario.

fichas/img/TRLDPHYBG02_TotalAnnualMaxCapacity.png

Figure 2) Total Annual Max Capacity for TRLDPHYBG02 for the BAU scenario. :download:`. <doc_imgs/ResidualCapacity_TRLDDSL01.csv>¶

UnitCapitalCost[r,t,y]¶

The figure 3 shows the Unit Capital Cost for TRLDPHYBG02, for every scenario.

fichas/img/TRLDPHYBG02_UnitCapitalCost.png

Figure 3) Unit Capital Cost for TRLDPHYBG02 for every scenario. :download:`. <doc_imgs/ResidualCapacity_TRLDDSL01.csv>¶

UnitFixedCost[r,t,y]¶

The equation (8) shows the Unit Fixed Cost for TRLDPHYBG02, for every scenario.

UnitFixedCost=364.3022 [$] (8)

Microbuses¶

Microbuses (Grouping Technology)¶


Set codification:		Techs_Microbuses
Description:		Minbus
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
DistanceDriven[r,t,y]	km/year	25847	25847	25847	25847
InputActivityRatio[r,t,f,m,y] (Public Transport in Microbuses)	Gpkm/ Gvkm	1	1	1	1
OperationalLife[r,t]	Years	1	1	1	1
OutputActivityRatio[r,t,f,m,y] (Transport Demand Passenger Public)	Gpkm/ Gvkm	8.43	8.43	8.43	8.43
TotalAnnualMaxCapacity[r,t,y] (BAU)	Gvkm	0.4173	0.5212	0.6243	0.723
TotalAnnualMaxCapacity[r,t,y] (NDP)	Gvkm	0.4173	0.5302	0.8148	0.975
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (BAU)	Gvkm	0.4165	0.5202	0.6231	0.7216
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	0.4166	0.5291	0.8131	0.9735

DistanceDriven[r,t,y]¶

The equation (1) shows the Distance Driven for Techs_Microbuses, for every scenario.

DistanceDriven=25847 [km/year] (1)

InputActivityRatio[r,t,f,m,y]¶

The equation (2) shows the Input Activity Ratio for Techs_Microbuses, for every scenario and associated to the fuel Public Transport in Minibus.

InputActivityRatio=1 [Gpkm/Gvkm] (2)

OperationalLife[r,t]¶

The equation (3) shows the Operational Life for Techs_Microbuses, for every scenario.

OperationalLife=1 Years (3)

OutputActivityRatio[r,t,f,m,y]¶

The equation (4) shows the Output Activity Ratio for Techs_Microbuses, for every scenario and associated to the fuel Transport Demand Passenger Public.

OutputActivityRatio=8.43 [Gpkm/Gvkm] (4)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 1 shows the Total Annual Max Capacity for Techs_Microbuses, for the BAU scenario.

_images/Techs_Microbuses_TotalAnnualMaxCapacity_BAU.png

Figure 1) Total Annual Max Capacity for Techs_Microbuses for the BAU scenario.¶

The figure 2 shows the Total Annual Max Capacity for Techs_Microbuses, for the NDP scenario.

_images/Techs_Microbuses_TotalAnnualMaxCapacity_NDP_OP15C.png

Figure 2) Total Annual Max Capacity for Techs_Microbuses for the NDP scenario.¶

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 3 shows the Total Technology Annual Activity Lower Limit for Techs_Microbuses, for the BAU scenario.

_images/Techs_Microbuses_TotalTechnologyAnnualActivityLowerLimit_BAU.png

Figure 3) Total Technology Annual Activity Lower Limit for Techs_Microbuses for the BAU scenario.¶

The figure 4 shows the Total Technology Annual Activity Lower Limit for Techs_Microbuses, for the NDP scenario.

_images/Techs_Microbuses_TotalTechnologyAnnualActivityLowerLimit_NDP_OP.png

Figure 4) Total Technology Annual Activity Lower Limit for Techs_Microbuses for NDP scenario.¶

Microbus Diesel (existing)¶


Set codification:		TRMBUSDSL01
Description:		Microbus Diesel (existing)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
DistanceDriven[r,t,y]	km/year	25847	25847	25847	25847
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.1	0.1	0.1	0.1
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
EmissionActivityRatio[r,t,e,m,y] (Health)		0.03	0.03	0.03	0.03
FixedCost[r,t,y]	M$/Gvkm	179.16	179.16	179.16	179.16
InputActivityRatio[r,t,f,m,y] (Diesel for public transport)	PJ/ Gvkm	6.37	6.37	6.37	6.37
OperationalLife[r,t]	Years	15	15	15	15
OutputActivityRatio[r,t,f,m,y] (Public Transport in Minibus)	PJ/ Gvkm	1	1	1	1
ResidualCapacity[r,t,y] (BAU)	Gvkm	0.3129	0.1303	0	0
ResidualCapacity[r,t,y] (NDP)	Gvkm	0.3129	0.1587	0	0
TotalAnnualMaxCapacity[r,t,y] (BAU)	Gvkm	0.3129	0.1303	0	0
TotalAnnualMaxCapacity[r,t,y] (NDP)	Gvkm	0.3129	0.1587	0	0
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (BAU)	Gvkm	0.3123	0.13	0	0
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	0.3123	0.1584	0	0
UnitFixedCost[r,t,y]	$	4630.7485	4630.7485	4630.7485	4630.7485

DistanceDriven[r,t,y]¶

The equation (1) shows the Distance Driven for TRMBUSDSL01, for every scenario.

DistanceDriven=25847 [km/year] (1)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (2) shows the Emission Activity Ratio for TRMBUSDSL01, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.1 (2)

The equation (3) shows the Emission Activity Ratio for TRMBUSDSL01, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (3)

The equation (4) shows the Emission Activity Ratio for TRMBUSDSL01, for every scenario and associated to the emission Health.

EmissionActivityRatio=0.03 (4)

FixedCost[r,t,y]¶

The equation (5) shows the Fixed Cost for TRMBUSDSL01, for every scenario.

FixedCost=179.16 [M$/Gvkm] (5)

InputActivityRatio[r,t,f,m,y]¶

The equation (6) shows the Input Activity Ratio for TRMBUSDSL01, for every scenario and associated to the fuel Diesel for public transport.

InputActivityRatio=6.37 [PJ/Gvkm] (6)

OperationalLife[r,t]¶

The equation (6) shows the Operational Life for TRMBUSDSL01, for every scenario.

OperationalLife=15 Years (6)

OutputActivityRatio[r,t,f,m,y]¶

The equation (7) shows the Output Activity Ratio for TRMBUSDSL01, for every scenario and associated to the fuel Public Transport in Minibus.

OutputActivityRatio=1 [PJ/Gvkm] (7)

ResidualCapacity[r,t,y]¶

The figure 2 shows the Residual Capacity for TRMBUSDSL01, for the BAU scenario.

_images/TRMBUSDSL01_ResidualCapacity_BAU.png

Figure 2) Residual Capacity for TRMBUSDSL01 for the BAU scenario.¶

The figure 3 shows the Residual Capacity for TRMBUSDSL01, for the NDP scenario.

_images/TRMBUSDSL01_ResidualCapacity_NDP_OP.png

Figure 3) Residual Capacity for TRMBUSDSL01 for the NDP and OP15C scenario.¶

TotalAnnualMaxCapacity[r,t,y]¶

The figure 4 shows the Total Annual Max Capacity for TRMBUSDSL01, for the BAU scenario.

_images/TRMBUSDSL01_TotalAnnualMaxCapacity_BAU.png

Figure 4) Total Annual Max Capacity for TRMBUSDSL01 for the BAU scenario.¶

The figure 5 shows the Total Annual Max Capacity for TRMBUSDSL01, for the NDP scenario.

_images/TRMBUSDSL01_TotalAnnualMaxCapacity_NDP_OP.png

Figure 5) Total Annual Max Capacity for TRMBUSDSL01 for the NDP scenario.¶

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 6 shows the Total Technology Annual Activity Lower Limit for TRMBUSDSL01, for the BAU scenario.

_images/TRMBUSDSL01_TotalTechnologyAnnualActivityLowerLimit_BAU.png

Figure 6) Total Technology Annual Activity Lower Limit for TRMBUSDSL01 for the BAU scenario.¶

The figure 7 shows the Total Technology Annual Activity Lower Limit for TRMBUSDSL01, for the NDP scenario.

_images/TRMBUSDSL01_TotalTechnologyAnnualActivityLowerLimit_NDP_OP.png

Figure 7) Total Technology Annual Activity Lower Limit for TRMBUSDSL01 for the NDP scenario.¶

UnitFixedCost[r,t,y]¶

The equation (8) shows the Unit Fixed Cost for TRMBUSDSL01, for every scenario.

UnitFixedCost=4630.7485 [$] (8)

Microbus Diesel (new)¶


Set codification:		TRMBUSDSL02
Description:		Microbus Diesel (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	2797.83	2797.83	2797.83	2797.83
DistanceDriven[r,t,y]	km/year	25847	25847	25847	25847
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.1	0.1	0.1	0.1
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
EmissionActivityRatio[r,t,e,m,y] (Health)		0.03	0.03	0.03	0.03
FixedCost[r,t,y]	M$/Gvkm	179.16	179.16	179.16	179.16
InputActivityRatio[r,t,f,m,y] (Diesel for public transport)	PJ/ Gvkm	5.62	5.62	5.62	5.62
OperationalLife[r,t]	Years	15	15	15	15
OutputActivityRatio[r,t,f,m,y] (Public Transport in Minibus)	PJ/ Gvkm	1	1	1	1
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (BAU)	Gvkm	0.1041	0.3901	0.6231	0.7216
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	0.1041	0	0	0
UnitCapitalCost[r,t,y]	$	72315.512	72315.512	72315.512	72315.512
UnitFixedCost[r,t,y]	$	4630.7485	4630.7485	4630.7485	4630.7485

CapitalCost[r,t,y]¶

The equation (1) shows the Capital Cost for TRMBUSDSL02, for every scenario.

CapitalCost=2797.83 [M$/Gvkm] (1)

DistanceDriven[r,t,y]¶

The equation (2) shows the Distance Driven for TRMBUSDSL02, for every scenario.

DistanceDriven=25847 [km/year] (2)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (3) shows the Emission Activity Ratio for TRMBUSDSL02, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.1 (3)

The equation (4) shows the Emission Activity Ratio for TRMBUSDSL02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (4)

The equation (5) shows the Emission Activity Ratio for TRMBUSDSL02, for every scenario and associated to the emission Health.

EmissionActivityRatio=0.03 (5)

FixedCost[r,t,y]¶

The equation (6) shows the Fixed Cost for TRMBUSDSL02, for every scenario.

FixedCost=179.16 [M$/Gvkm] (6)

InputActivityRatio[r,t,f,m,y]¶

The equation (7) shows the Input Activity Ratio for TRMBUSDSL02, for every scenario and associated to the fuel Diesel for public transport.

InputActivityRatio=5.62 [PJ/Gvkm] (7)

OperationalLife[r,t]¶

The equation (8) shows the Operational Life for TRMBUSDSL02, for every scenario.

OperationalLife=15 Years (8)

OutputActivityRatio[r,t,f,m,y]¶

The equation (9) shows the Output Activity Ratio for TRMBUSDSL02, for every scenario and associated to the fuel Public Transport in Minibus.

OutputActivityRatio=1 [PJ/Gvkm] (9)

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 1 shows the Total Technology Annual Activity Lower Limit for TRMBUSDSL02, for the BAU scenario.

_images/TRMBUSDSL02_TotalTechnologyAnnualActivityLowerLimit_BAU.png

Figure 1) Total Technology Annual Activity Lower Limit for TRMBUSDSL02 for the BAU scenario.¶

The figure 2 shows the Total Technology Annual Activity Lower Limit for TRMBUSDSL02, for the NDP scenario.

_images/TRMBUSDSL02_TotalTechnologyAnnualActivityLowerLimit_NDP_OP.png

Figure 2) Total Technology Annual Activity Lower Limit for TRMBUSDSL02 for the NDP scenario.¶

UnitCapitalCost[r,t,y]¶

The equation (10) shows the Unit Capital Cost for TRMBUSDSL02, for every scenario.

UnitCapitalCost=72315.512 [$] (10)

UnitFixedCost[r,t,y]¶

The equation (11) shows the Unit Fixed Cost for TRMBUSDSL02, for every scenario.

UnitFixedCost=4630.7485 [$] (11)

Microbus Electric (new)¶


Set codification:		TRMBUSELE02
Description:		Microbus Electric (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	6191	4711	4598	4485
DistanceDriven[r,t,y]	km/year	25847	25847	25847	25847
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.1	0.1	0.1	0.1
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
FixedCost[r,t,y]	M$/Gvkm	59.1228	59.1228	59.1228	59.1228
InputActivityRatio[r,t,f,m,y] (Electricity for public transport)	PJ/ Gvkm	3.54	3.54	3.54	3.54
OperationalLife[r,t]	Years	12	12	12	12
OutputActivityRatio[r,t,f,m,y] (Public Transport in Minibus)	PJ/ Gvkm	1	1	1	1
TotalAnnualMaxCapacity[r,t,y] (BAU)	Gvkm	0	99999	99999	99999
TotalAnnualMaxCapacity[r,t,y] (NDP)	Gvkm	0	0.051	0.6698	1.0554
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	0	0.0509	0.6684	1.0533
UnitCapitalCost[r,t,y]	$	160018.777	121765.217	118844.506	115923.795
UnitFixedCost[r,t,y]	$	1528.147	1528.147	1528.147	1528.147

CapitalCost[r,t,y]¶

The figure 1 shows the Capital Cost for TRMBUSELE02, for every scenario.

Figure 1) Capital Cost for TRMBUSELE02 for every scenario.¶

DistanceDriven[r,t,y]¶

The equation (1) shows the Distance Driven for TRMBUSELE02, for every scenario.

DistanceDriven=25847 [km/year] (1)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (2) shows the Emission Activity Ratio for TRMBUSELE02, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.1 (2)

The equation (3) shows the Emission Activity Ratio for TRMBUSELE02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (3)

FixedCost[r,t,y]¶

The equation (4) shows the Fixed Cost for TRMBUSELE02, for every scenario.

FixedCost=59.1228 [M$/Gvkm] (4)

InputActivityRatio[r,t,f,m,y]¶

The equation (5) shows the Input Activity Ratio for TRMBUSELE02, for every scenario and associated to the fuel Electricity for public transport.

InputActivityRatio=3.54 [PJ/Gvkm] (5)

OperationalLife[r,t]¶

The equation (6) shows the Operational Life for TRMBUSELE02, for every scenario.

OperationalLife=12 Years (6)

OutputActivityRatio[r,t,f,m,y]¶

The equation (7) shows the Output Activity Ratio for TRMBUSELE02, for every scenario and associated to the fuel Public Transport in Minibus.

OutputActivityRatio=1 [PJ/Gvkm] (7)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 2 shows the Total Annual Max Capacity for TRMBUSELE02, for the BAU scenario.

_images/TRMBUSELE02_TotalAnnualMaxCapacity_BAU.png

Figure 2) Total Annual Max Capacity for TRMBUSELE02 for the BAU scenario.¶

The figure 3 shows the Total Annual Max Capacity for TRMBUSELE02, for the NDP scenario.

_images/TRMBUSELE02_TotalAnnualMaxCapacity_NDP_OP.png

Figure 3) Total Annual Max Capacity for TRMBUSELE02 for the NDP scenario.¶

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 4 shows the Total Technology Annual Activity Lower Limit for TRMBUSELE02, for the NDP scenario.

_images/TRMBUSELE02_TotalTechnologyAnnualActivityLowerLimit_NDP_OP.png

Figure 4) Total Technology Annual Activity Lower Limit for TRMBUSELE02 for the NDP scenario.¶

UnitCapitalCost[r,t,y]¶

The figure 5 shows the Unit Capital Cost for TRMBUSELE02, for every scenario.

Figure 5) Unit Capital Cost for TRBUSELC02 for every scenario.¶

UnitFixedCost[r,t,y]¶

The equation (8) shows the Unit Fixed Cost for TRMBUSELE02, for every scenario.

UnitFixedCost=1528.147 [$] (8)

Microbus Hybrid Electric-Diesel (new)¶


Set codification:		TRMBUSHYBD02
Description:		Microbus Hybrid Electric-Diesel (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	5228.01	3978.22	3882.79	3787.37
DistanceDriven[r,t,y]	km/year	25847	25847	25847	25847
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.1	0.1	0.1	0.1
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
EmissionActivityRatio[r,t,e,m,y] (Health)		0.01	0.01	0.01	0.01
FixedCost[r,t,y]	M$/Gvkm	89.58	89.58	89.58	89.58
InputActivityRatio[r,t,f,m,y] (Diesel for public transport)	PJ/ Gvkm	2.15	2.15	2.15	2.15
InputActivityRatio[r,t,f,m,y] (Electricity for public transport)	PJ/ Gvkm	2.15	2.15	2.15	2.15
OperationalLife[r,t]	Years	12	12	12	12
OutputActivityRatio[r,t,f,m,y] (Public Transport in Minibus)	PJ/ Gvkm	1	1	1	1
TotalAnnualMaxCapacity[r,t,y]	Gvkm	0	99999	99999	99999
UnitCapitalCost[r,t,y]	$	135128.3745	102825.0523	100358.4731	237695.079
UnitFixedCost[r,t,y]	$	2315.3743	2315.3743	2315.3743	97892.1524

CapitalCost[r,t,y]¶

The figure 1 shows the Capital Cost for TRMBUSHYBD02, for every scenario.

Figure 1) Capital Cost for TRMBUSHYBD02 for every scenario.¶

DistanceDriven[r,t,y]¶

The equation (1) shows the Distance Driven for TRMBUSHYBD02, for every scenario.

DistanceDriven=25847 [km/year] (1)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (2) shows the Emission Activity Ratio for TRMBUSHYBD02, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.1 (2)

The equation (3) shows the Emission Activity Ratio for TRMBUSHYBD02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (3)

The equation (4) shows the Emission Activity Ratio for TRMBUSHYBD02, for every scenario and associated to the emission Health.

EmissionActivityRatio=0.01 (4)

FixedCost[r,t,y]¶

The equation (5) shows the Fixed Cost for TRMBUSHYBD02, for every scenario.

FixedCost=89.58 [M$/Gvkm] (5)

InputActivityRatio[r,t,f,m,y]¶

The equation (6) shows the Input Activity Ratio for TRMBUSHYBD02, for every scenario and associated to the fuel Electricity for public transport and Diesel for public transport.

InputActivityRatio=2.15 [PJ/Gvkm] (6)

OperationalLife[r,t]¶

The equation (7) shows the Operational Life for TRMBUSHYBD02, for every scenario.

OperationalLife=12 Years (7)

OutputActivityRatio[r,t,f,m,y]¶

The equation (8) shows the Output Activity Ratio for TRMBUSHYBD02, for every scenario and associated to the fuel Public Transport in Minibus.

OutputActivityRatio=1 [PJ/Gvkm] (8)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 2 shows the Total Annual Max Capacity for TRMBUSHYBD02, for every scenario.

_images/TRMBUSHYBD02_TotalAnnualMaxCapacity.png

Figure 2) Total Annual Max Capacity for TRMBUSHYBD02 for every scenario.¶

UnitCapitalCost[r,t,y]¶

The figure 3 shows the Unit Capital Cost for TRMBUSHYBD02, for every scenario.

_images/TRMBUSHYBD02_UnitCapitalCost.png

Figure 3) Unit Capital Cost for TRMBUSHYBD02 for every scenario.¶

UnitFixedCost[r,t,y]¶

The equation (9) shows the Unit Fixed Cost for TRMBUSHYBD02, for every scenario.

UnitFixedCost=2315.3743 [$] (9)

Microbus Hydrogen (new)¶


Set codification:		TRMBUSHYD02
Description:		Microbus Hydrogen (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	13129	12302	11474	10646
DistanceDriven[r,t,y]	km/year	25847	25847	25847	25847
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.1	0.1	0.1	0.1
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
FixedCost[r,t,y]	M$/Gvkm	59.1228	59.1228	59.1228	59.1228
InputActivityRatio[r,t,f,m,y] (Hydrogen for public transport)	PJ/ Gvkm	4.03	4.03	4.03	4.03
OperationalLife[r,t]	Years	12	12	12	12
OutputActivityRatio[r,t,f,m,y] (Public Transport in Minibus)	PJ/ Gvkm	1	1	1	1
TotalAnnualMaxCapacity[r,t,y]	Gvkm	0	99999	99999	99999
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	0	0.0045	0.0754	0.1239
UnitCapitalCost[r,t,y]	$	339345.263	317969.794	296568.478	275167.162
UnitFixedCost[r,t,y]	$	1528.147	1528.147	1528.147	1528.147

CapitalCost[r,t,y]¶

The figure 1 shows the Capital Cost for TRMBUSHYD02, for every scenario.

Figure 1) Capital Cost for TRMBUSHYD02 for every scenario.¶

DistanceDriven[r,t,y]¶

The equation (1) shows the Distance Driven for TRMBUSHYD02, for every scenario.

DistanceDriven=25847 [km/year] (1)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (2) shows the Emission Activity Ratio for TRMBUSHYD02, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.1 (2)

The equation (3) shows the Emission Activity Ratio for TRMBUSHYD02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (3)

FixedCost[r,t,y]¶

The equation (4) shows the Fixed Cost for TRMBUSHYD02, for every scenario.

FixedCost=59.1228 [M$/Gvkm] (4)

InputActivityRatio[r,t,f,m,y]¶

The equation (5) shows the Input Activity Ratio for TRMBUSHYD02, for every scenario and associated to the fuel Hydrogen for public transport.

InputActivityRatio=4.03 [PJ/Gvkm] (5)

OperationalLife[r,t]¶

The equation (6) shows the Operational Life for TRBUSHYD02, for every scenario.

OperationalLife=12 Years (6)

OutputActivityRatio[r,t,f,m,y]¶

The equation (7) shows the Output Activity Ratio for TRMBUSHYD02, for every scenario and associated to the fuel Public Transport in Minibus.

OutputActivityRatio=1 [PJ/Gvkm] (7)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 2 shows the Total Annual Max Capacity for TRMBUSHYD02, for every scenario.

_images/TRMBUSHYD02_TotalAnnualMaxCapacity.png

Figure 2) Total Annual Max Capacity for TRMBUSHYD02 for every scenario.¶

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 3 shows the Total Technology Annual Activity Lower Limit for TRMBUSHYD02, for the NDP scenario.

_images/TRMBUSHYD02_TotalTechnologyAnnualActivityLowerLimit_NDP.png

Figure 3) Total Technology Annual Activity Lower Limit for TRMBUSHYD02 for the NDP scenario.¶

UnitCapitalCost[r,t,y]¶

The figure 4 shows the Unit Capital Cost for TRMBUSHYD02, for every scenario.

Figure 4) Unit Capital Cost for TRMBUSHYD02 for every scenario.¶

UnitFixedCost[r,t,y]¶

The equation (8) shows the Unit Fixed Cost for TRMBUSHYD02, for every scenario.

UnitFixedCost=1528.147 [$] (8)

Microbus LPG (new)¶


Set codification:		TRMBUSLPG02
Description:		Microbus LPG (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	3916	3916	3916	3916
DistanceDriven[r,t,y]	km/year	25847	25847	25847	25847
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.1	0.1	0.1	0.1
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
EmissionActivityRatio[r,t,e,m,y] (Health)		0.01	0.01	0.01	0.01
FixedCost[r,t,y]	M$/Gvkm	105.1	105.1	105.1	105.1
InputActivityRatio[r,t,f,m,y] (LPG for public transport)	PJ/ Gvkm	7.32	7.32	7.32	7.32
OperationalLife[r,t]	Years	15	15	15	15
OutputActivityRatio[r,t,f,m,y] (Public Transport in Minibus)	PJ/ Gvkm	1	1	1	1
TotalAnnualMaxCapacity[r,t,y]	Gvkm	0	99999	99999	99999
UnitCapitalCost[r,t,y]	$	101216.852	101216.852	101216.852	101216.852
UnitFixedCost[r,t,y]	$	2716.5197	2716.5197	2716.5197	2716.5197

CapitalCost[r,t,y]¶

The equation (1) shows the Capital Cost for TRMBUSLPG02, for every scenario.

CapitalCost=3916 [M$/Gvkm] (1)

DistanceDriven[r,t,y]¶

The equation (2) shows the Distance Driven for TRMBUSLPG02, for every scenario.

DistanceDriven=25847 [km/year] (2)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (3) shows the Emission Activity Ratio for TRMBUSLPG02, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.1 (3)

The equation (4) shows the Emission Activity Ratio for TRMBUSLPG02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (4)

The equation (5) shows the Emission Activity Ratio for TRMBUSLPG02, for every scenario and associated to the emission Health.

EmissionActivityRatio=0.01 (5)

FixedCost[r,t,y]¶

The equation (6) shows the Fixed Cost for TRMBUSLPG02, for every scenario.

FixedCost=105.1 [M$/Gvkm] (6)

InputActivityRatio[r,t,f,m,y]¶

The equation (7) shows the Input Activity Ratio for TRMBUSLPG02, for every scenario and associated to the fuel LPG for public transport.

InputActivityRatio=7.32 [PJ/Gvkm] (7)

OperationalLife[r,t]¶

The equation (8) shows the Operational Life for TRMBUSLPG02, for every scenario.

OperationalLife=15 Years (8)

OutputActivityRatio[r,t,f,m,y]¶

The equation (9) shows the Output Activity Ratio for TRMBUSLPG02, for every scenario and associated to the fuel Public Transport in Minibus.

OutputActivityRatio=1 [PJ/Gvkm] (9)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 1 shows the Total Annual Max Capacity for TRMBUSLPG02, for every scenario.

_images/TRMBUSLPG02_TotalAnnualMaxCapacity.png

Figure 1) Total Annual Max Capacity for TRMBUSLPG02 for every scenario.¶

UnitCapitalCost[r,t,y]¶

The equation (11) shows the Unit Capital Cost for TRMBUSLPG02, for every scenario.

UnitCapitalCost=101216.852 [$] (11)

UnitFixedCost[r,t,y]¶

The equation (12) shows the Unit Fixed Cost for TRMBUSLPG02, for every scenario.

UnitFixedCost=2716.5197 [$] (12)

Minivans¶

Minivan (Grouping Technology)¶


Set codification:		Techs_Minivan
Description:		Minivan
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
DistanceDriven[r,t,y]	km/year	14773	14773	14773	14773
InputActivityRatio[r,t,f,m,y] (Private Transport in Minivan)	Gpkm/ Gvkm	1	1	1	1
OperationalLife[r,t]	Years	1	1	1	1
OutputActivityRatio[r,t,f,m,y] (Transport Demand Passenger Private)	Gpkm/ Gvkm	2.3	2.3	2.3	2.3
TotalAnnualMaxCapacity[r,t,y] (BAU)	Gvkm	0.1607	0.6573	0.9718	1.1401
TotalAnnualMaxCapacity[r,t,y] (NDP)	Gvkm	0.1604	0.6379	0.6729	0.7246
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (BAU)	Gvkm	0.1604	0.6559	0.9699	1.1378
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	0.1604	0.6363	0.9716	0.7232

DistanceDriven[r,t,y]¶

The equation (1) shows the Distance Driven for Techs_Minivan, for every scenario.

DistanceDriven=14773 [km/year] (1)

InputActivityRatio[r,t,f,m,y]¶

The equation (2) shows the Input Activity Ratio for Techs_Minivan, for every scenario and associated to the fuel Private Transport in Minivan.

InputActivityRatio=1 [Gpkm/Gvkm] (2)

OperationalLife[r,t]¶

The equation (3) shows the Operational Life for Techs_Minivan, for every scenario.

OperationalLife=1 Years (3)

OutputActivityRatio[r,t,f,m,y]¶

The equation (4) shows the Output Activity Ratio for Techs_Minivan, for every scenario and associated to the fuel Transport Demand Passenger Private.

OutputActivityRatio=2.3 [Gpkm/Gvkm] (4)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 1 shows the Total Annual Max Capacity for Techs_Minivan, for the BAU scenario.

_images/Techs_Minivan_TotalAnnualMaxCapacity_BAU.png

Figure 1) Total Annual Max Capacity for Techs_Minivan for the BAU scenario.¶

The figure 2 shows the Total Annual Max Capacity for Techs_Minivan, for the NDP scenario.

_images/Techs_Minivan_TotalAnnualMaxCapacity_NDP_OP15C.png

Figure 2) Total Annual Max Capacity for Techs_Minivan for the NDP scenario.¶

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 3 shows the Total Technology Annual Activity Lower Limit for Techs_Minivan, for the BAU scenario.

_images/Techs_Minivan_TotalTechnologyAnnualActivityLowerLimit_BAU.png

Figure 3) Total Technology Annual Activity Lower Limit for Techs_Minivan for the BAU scenario.¶

The figure 4 shows the Total Technology Annual Activity Lower Limit for Techs_Minivan, for the NDP scenario.

_images/Techs_Minivan_TotalTechnologyAnnualActivityLowerLimit_NDP_OP.png

Figure 4) Total Technology Annual Activity Lower Limit for Techs_Minivan for the NDP scenario.¶

Minivan Diesel (new)¶


Set codification:		TRMIVDSL02
Description:		Minivan Diesel (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	2331.95	2331.95	2331.95	2331.95
DistanceDriven[r,t,y]	km/year	14773	14773	14773	14773
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.09	0.09	0.09	0.09
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
EmissionActivityRatio[r,t,e,m,y] (Health)		0.01	0.01	0.01	0.01
FixedCost[r,t,y]	M$/Gvkm	61.65	61.65	61.65	61.65
InputActivityRatio[r,t,f,m,y] (Diesel for private transport)	PJ/ Gvkm	2.585428571	2.220285714	1.855142857	1.49
OperationalLife[r,t]	Years	15	15	15	15
OutputActivityRatio[r,t,f,m,y] (Private Transport in Minivan)	PJ/ Gvkm	1	1	1	1
TotalTechnologyAnnualActivityLowerLimit[r,t,y]	Gvkm	0.0802	0	0	0
UnitCapitalCost[r,t,y]	$	32972.5973	32972.5973	32972.5973	32972.5973
UnitFixedCost[r,t,y]	$	910.7554	910.7554	910.7554	910.7554

CapitalCost[r,t,y]¶

The equation (1) shows the Capital Cost for TRMIVDSL02, for every scenario.

CapitalCost=2331.95 [M$/Gvkm] (1)

DistanceDriven[r,t,y]¶

The equation (2) shows the Distance Driven for TRMIVDSL02, for every scenario.

DistanceDriven=14773 [km/year] (2)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (3) shows the Emission Activity Ratio for TRMIVDSL02, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.09 (3)

The equation (4) shows the Emission Activity Ratio for TRMIVDSL02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (4)

The equation (5) shows the Emission Activity Ratio for TRMIVDSL02, for every scenario and associated to the emission Health.

EmissionActivityRatio=0.01 (5)

FixedCost[r,t,y]¶

The equation (6) shows the Fixed Cost for TRMIVDSL02, for every scenario.

FixedCost=61.65 [M$/Gvkm] (6)

InputActivityRatio[r,t,f,m,y]¶

The figure 1 shows the Input Activity Ratio for TRMIVDSL02, for every scenario and associated to the fuel Diesel for private transport.

_images/TRMIVDSL02_InputActivityRatio.png

Figure 1) Input Activity Ratio for TRMIVDSL02 for every scenario.¶

OperationalLife[r,t]¶

The equation (7) shows the Operational Life for TRMIVDSL02, for every scenario.

OperationalLife=15 Years (7)

OutputActivityRatio[r,t,f,m,y]¶

The equation (8) shows the Output Activity Ratio for TRMIVDSL02, for every scenario and associated to the fuel Private Transport in Minivan.

OutputActivityRatio=1 [PJ/Gvkm] (8)

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 2 shows the Total Technology Annual Activity Lower Limit for TRMIVDSL02, for every scenario.

_images/TRMIVDSL02_TotalTechnologyAnnualActivityLowerLimit.png

Figure 2) Total Technology Annual Activity Lower Limit for TRMIVDSL02 for every scenario.¶

UnitCapitalCost[r,t,y]¶

The equation (9) shows the Unit Capital Cost for TRMIVDSL02, for every scenario.

UnitCapitalCost=32972.5973 [$] (9)

UnitFixedCost[r,t,y]¶

The equation (10) shows the Unit Fixed Cost for TRMIVDSL02, for every scenario.

UnitFixedCost=910.7554 [$] (10)

Minivan Electric (new)¶


Set codification:		TRMIVELE02
Description:		Minivan Electric (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	4064.84	3092.81	3018.59	2944.36
DistanceDriven[r,t,y]	km/year	14773	14773	14773	14773
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.09	0.09	0.09	0.09
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
FixedCost[r,t,y]	M$/Gvkm	20.3445	20.3445	20.3445	20.3445
InputActivityRatio[r,t,f,m,y] (Electricity for private transport)	PJ/ Gvkm	0.72	0.72	0.72	0.72
OperationalLife[r,t]	Years	12	12	12	12
OutputActivityRatio[r,t,f,m,y] (Private Transport in Minivan)	PJ/ Gvkm	1	1	1	1
TotalAnnualMaxCapacity[r,t,y] (BAU)	Gvkm	0	0		0.05
TotalAnnualMaxCapacity[r,t,y] (NDP)	Gvkm	0	0.0557	0.5034	0.7102
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	0	0.0555	0.5025	0.7088
UnitCapitalCost[r,t,y]	$	60049.8813	45690.0821	44593.6301	43497.0303
UnitFixedCost[r,t,y]	$	300.5493	300.5493	300.5493	300.5493

CapitalCost[r,t,y]¶

The figure 1 shows the Capital Cost for TRMIVELE02, for every scenario.

Figure 1) Capital Cost for TRMIVELE02 for every scenario.¶

DistanceDriven[r,t,y]¶

The equation (1) shows the Distance Driven for TRMIVELE02, for every scenario.

DistanceDriven=14773 [km/year] (1)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (2) shows the Emission Activity Ratio for TRMIVELE02, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.09 (2)

The equation (3) shows the Emission Activity Ratio for TRMIVELE02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (3)

FixedCost[r,t,y]¶

The equation (4) shows the Fixed Cost for TRMIVELE02, for every scenario.

FixedCost=20.3445 [M$/Gvkm] (4)

InputActivityRatio[r,t,f,m,y]¶

The equation (5) shows the Input Activity Ratio for TRMIVELE02, for every scenario and associated to the fuel Electricity for private transport.

InputActivityRatio=0.72 [PJ/Gvkm] (5)

OperationalLife[r,t]¶

The equation (6) shows the Operational Life for TRMIVELE02, for every scenario.

OperationalLife=12 Years (6)

OutputActivityRatio[r,t,f,m,y]¶

The equation (7) shows the Output Activity Ratio for TRMIVELE02, for every scenario and associated to the fuel Private Transport in Minivan.

OutputActivityRatio=1 [PJ/Gvkm] (7)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 2 shows the Total Annual Max Capacity for TRMIVELE02, for the BAU scenario.

_images/TRMIVELE02_TotalAnnualMaxCapacity_BAU.png

Figure 2) Total Annual Max Capacity for TRMIVELE02 for the BAU scenario.¶

The figure 3 shows the Total Annual Max Capacity for TRMIVELE02, for the NDP scenario.

_images/TRMIVELE02_TotalAnnualMaxCapacity_NDP.png

Figure 3) Total Annual Max Capacity for TRMIVELE02 for the NDP scenario.¶

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 4 shows the Total Technology Annual Activity Lower Limit for TRMIVELE02, for the NDP scenario.

_images/TRMIVELE02_TotalTechnologyAnnualActivityLowerLimit_NDP.png

Figure 4) Total Technology Annual Activity Lower Limit for TRMIVELE02 for the NDP scenario.¶

UnitCapitalCost[r,t,y]¶

The figure 5 shows the Unit Capital Cost for TRMIVELE02, for every scenario.

Figure 5) Unit Capital Cost for TRMIVELE02 for every scenario.¶

UnitFixedCost[r,t,y]¶

The equation (8) shows the Unit Fixed Cost for TRMIVELE02, for every scenario.

UnitFixedCost=300.5493 [$] (8)

Minivan Gasoline (new)¶


Set codification:		TRMIVGAS02
Description:		Minivan Gasoline (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	1608.45	1608.45	1608.45	1608.45
DistanceDriven[r,t,y]	km/year	14773	14773	14773	14773
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.09	0.09	0.09	0.09
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
FixedCost[r,t,y]	M$/Gvkm	61.65	61.65	61.65	61.65
InputActivityRatio[r,t,f,m,y] (Gasoline for private transport)	PJ/ Gvkm	2.279142857	2.229428571	2.179714286	2.13
OperationalLife[r,t]	Years	15	15	15	15
OutputActivityRatio[r,t,f,m,y] (Private Transport in Minivan)	PJ/ Gvkm	1	1	1	1
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (BAU)	Gvkm	0.0802	0.32795	0.48495	0.5689
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	0.0802	0	0	0
UnitCapitalCost[r,t,y]	$	23761.6319	23761.6319	23761.6319	23761.6319
UnitFixedCost[r,t,y]	$	910.7554	910.7554	910.7554	910.7554

CapitalCost[r,t,y]¶

The equation (1) shows the Capital Cost for TRMIVGAS02, for every scenario.

CapitalCost=1608.45 [M$/Gvkm] (1)

DistanceDriven[r,t,y]¶

The equation (2) shows the Distance Driven for TRMIVGAS02, for every scenario.

DistanceDriven=14773 [km/year] (2)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (3) shows the Emission Activity Ratio for TRMIVGAS02, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.09 (3)

The equation (4) shows the Emission Activity Ratio for TRMIVGAS02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (4)

FixedCost[r,t,y]¶

The equation (5) shows the Fixed Cost for TRMIVGAS02, for every scenario.

FixedCost=61.65 [M$/Gvkm] (5)

InputActivityRatio[r,t,f,m,y]¶

The figure 1 shows the Input Activity Ratio for TRMIVGAS02, for every scenario and associated to the fuel Gasoline for private transport.

_images/TRMIVGAS02_InputActivityRatio.png

Figure 1) Input Activity Ratio for TRMIVGAS02 for every scenario.¶

OperationalLife[r,t]¶

The equation (6) shows the Operational Life for TRMIVGAS02, for every scenario.

OperationalLife=15 Years (6)

OutputActivityRatio[r,t,f,m,y]¶

The equation (7) shows the Output Activity Ratio for TRMIVGAS02, for every scenario and associated to the fuel Private Transport in Minivan.

OutputActivityRatio=1 [PJ/Gvkm] (7)

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 2 shows the Total Technology Annual Activity Lower Limit for TRMIVGAS02, for the BAU scenario.

_images/TRMIVGAS02_TotalTechnologyAnnualActivityLowerLimit_BAU.png

Figure 2) Total Technology Annual Activity Lower Limit for TRMIVGAS02 for the BAU scenario.¶

The figure 3 shows the Total Technology Annual Activity Lower Limit for TRMIVGAS02, for the NDP scenario.

_images/TRMIVGAS02_TotalTechnologyAnnualActivityLowerLimit_NDP.png

Figure 3) Total Technology Annual Activity Lower Limit for TRMIVGAS02 for the NDP scenario.¶

UnitCapitalCost[r,t,y]¶

The equation (8) shows the Unit Capital Cost for TRMIVGAS02, for every scenario.

UnitCapitalCost=23761.6319 [$] (8)

UnitFixedCost[r,t,y]¶

The equation (9) shows the Unit Fixed Cost for TRMIVGAS02, for every scenario.

UnitFixedCost=910.7554 [$] (9)

Minivan Hybrid Electric-Diesel (new)¶


Set codification:		TRMIVHYBD02
Description:		Minivan Hybrid Electric-Diesel (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	3137	3137	3137	3137
DistanceDriven[r,t,y]	km/year	14773	14773	14773	14773
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.09	0.09	0.09	0.09
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
FixedCost[r,t,y]	M$/Gvkm	30.825	30.825	30.825	30.825
InputActivityRatio[r,t,f,m,y] (Diesel for private transport)	PJ/ Gvkm	0.55	0.55	0.55	0.55
InputActivityRatio[r,t,f,m,y] (Electricity for private transport)	PJ/ Gvkm	0.55	0.55	0.55	0.55
OperationalLife[r,t]	Years	12	12	12	12
OutputActivityRatio[r,t,f,m,y] (Private Transport in Minivan)	PJ/ Gvkm	1	1	1	1
TotalAnnualMaxCapacity[r,t,y]	Gvkm	0	99999	99999	99999
UnitCapitalCost[r,t,y]	$	46342.901	46342.901	46342.901	46342.901
UnitFixedCost[r,t,y]	$	455.3777	455.3777	455.3777	455.3777

CapitalCost[r,t,y]¶

The equation (1) shows the Capital Cost for TRMIVHYBD02, for every scenario.

CapitalCost=3137 [M$/Gvkm] (1)

DistanceDriven[r,t,y]¶

The equation (2) shows the Distance Driven for TRMIVHYBD02, for every scenario.

DistanceDriven=14773 [km/year] (2)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (3) shows the Emission Activity Ratio for TRMIVHYBD02, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.09 (3)

The equation (4) shows the Emission Activity Ratio for TRMIVHYBD02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (4)

FixedCost[r,t,y]¶

The equation (5) shows the Fixed Cost for TRMIVHYBD02, for every scenario.

FixedCost=30.825 [M$/Gvkm] (5)

InputActivityRatio[r,t,f,m,y]¶

The equation (6) shows the Input Activity Ratio for TRMIVHYBD02, for every scenario and associated to the fuel Electricity for public transport and Diesel for public transport.

InputActivityRatio=0.55 [PJ/Gvkm] (6)

OperationalLife[r,t]¶

The equation (7) shows the Operational Life for TRMIVHYBD02, for every scenario.

OperationalLife=12 Years (7)

OutputActivityRatio[r,t,f,m,y]¶

The equation (8) shows the Output Activity Ratio for TRMIVHYBD02, for every scenario and associated to the fuel Private Transport in Minivan.

OutputActivityRatio=1 [PJ/Gvkm] (8)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 1 shows the Total Annual Max Capacity for TRMIVHYBD02, for every scenario.

_images/TRMIVHYBD02_TotalAnnualMaxCapacity.png

Figure 1) Total Annual Max Capacity for TRMIVHYBD02 for every scenario.¶

UnitCapitalCost[r,t,y]¶

The equation (9) shows the Unit Capital Cost for TRMIVHYBD02, for every scenario.

UnitCapitalCost=16342.901 [$] (9)

UnitFixedCost[r,t,y]¶

The equation (10) shows the Unit Fixed Cost for TRMIVHYBD02, for every scenario.

UnitFixedCost=455.3777 [$] (10)

Minivan Hybrid Electric-Gasoline (new)¶


Set codification:		TRMIVHYBG02
Description:		Minivan Hybrid Electric-Gasoline (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	2038	2038	2038	2038
DistanceDriven[r,t,y]	km/year	14773	14773	14773	14773
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.09	0.09	0.09	0.09
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
FixedCost[r,t,y]	M$/Gvkm	30.825	30.825	30.825	30.825
InputActivityRatio[r,t,f,m,y] (Electricity for private transport)	PJ/ Gvkm	0.71	0.71	0.71	0.71
InputActivityRatio[r,t,f,m,y] (Gasoline for private transport)	PJ/ Gvkm	0.71	0.71	0.71	0.71
OperationalLife[r,t]	Years	12	12	12	12
OutputActivityRatio[r,t,f,m,y] (Private Transport in Minivan)	PJ/ Gvkm	1	1	1	1
TotalAnnualMaxCapacity[r,t,y]	Gvkm	0	99999	99999	99999
UnitCapitalCost[r,t,y]	$	30107.374	30107.374	30107.374	30107.374
UnitFixedCost[r,t,y]	$	455.3777	455.3777	455.3777	455.3777

CapitalCost[r,t,y]¶

The equation (1) shows the Capital Cost for TRMIVHYBG02, for every scenario.

CapitalCost=2038 [M$/Gvkm] (1)

DistanceDriven[r,t,y]¶

The equation (2) shows the Distance Driven for TRMIVHYBG02, for every scenario.

DistanceDriven=14773 [km/year] (2)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (3) shows the Emission Activity Ratio for TRMIVHYBG02, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.09 (3)

The equation (4) shows the Emission Activity Ratio for TRMIVHYBG02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (4)

FixedCost[r,t,y]¶

The equation (5) shows the Fixed Cost for TRMIVHYBG02, for every scenario.

FixedCost=30.825 [M$/Gvkm] (5)

InputActivityRatio[r,t,f,m,y]¶

The equation (6) shows the Input Activity Ratio for TRMIVHYBG02, for every scenario and associated to the fuel Electricity for public transport and Gasoline for public transport.

InputActivityRatio=0.71 [PJ/Gvkm] (6)

OperationalLife[r,t]¶

The equation (7) shows the Operational Life for TRMIVHYBG02, for every scenario.

OperationalLife=12 Years (7)

OutputActivityRatio[r,t,f,m,y]¶

The equation (8) shows the Output Activity Ratio for TRMIVHYBG02, for every scenario and associated to the fuel Private Transport in Minivan.

OutputActivityRatio=1 [PJ/Gvkm] (8)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 1 shows the Total Annual Max Capacity for TRMIVHYBG02, for every scenario.

_images/TRMIVHYBG02_TotalAnnualMaxCapacity.png

Figure 1) Total Annual Max Capacity for TRMIVHYBG02 for every scenario.¶

UnitCapitalCost[r,t,y]¶

The equation (9) shows the Unit Capital Cost for TRMIVHYBG02, for every scenario.

UnitCapitalCost=30107.374 [$] (9)

UnitFixedCost[r,t,y]¶

The equation (10) shows the Unit Fixed Cost for TRMIVHYBG02, for every scenario.

UnitFixedCost=455.3777 [$] (10)

Minivan LPG (new)¶


Set codification:		TRMIVLPG02
Description:		Minivan LPG (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	1785	1785	1785	1785
DistanceDriven[r,t,y]	km/year	14773	14773	14773	14773
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.09	0.09	0.09	0.09
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
FixedCost[r,t,y]	M$/Gvkm	61.65	61.65	61.65	61.65
InputActivityRatio[r,t,f,m,y] (LGP for private transport)	PJ/ Gvkm	1.98	1.98	1.98	1.98
OperationalLife[r,t]	Years	15	15	15	15
OutputActivityRatio[r,t,f,m,y] (Private Transport in Minivan)	PJ/ Gvkm	1	1	1	1
TotalAnnualMaxCapacity[r,t,y]	Gvkm	0	99999	99999	99999
UnitCapitalCost[r,t,y]	$	26369.805	26369.805	26369.805	26369.805
UnitFixedCost[r,t,y]	$	910.7554	910.7554	910.7554	910.7554

CapitalCost[r,t,y]¶

The equation (1) shows the Capital Cost for TRMIVLPG02, for every scenario.

CapitalCost=1785 [M$/Gvkm] (1)

DistanceDriven[r,t,y]¶

The equation (2) shows the Distance Driven for TRMIVLPG02, for every scenario.

DistanceDriven=14773 [km/year] (2)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (3) shows the Emission Activity Ratio for TRMIVLPG02, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.09 (3)

The equation (4) shows the Emission Activity Ratio for TRMIVLPG02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (4)

FixedCost[r,t,y]¶

The equation (5) shows the Fixed Cost for TRMIVLPG02, for every scenario.

FixedCost=61.65 [M$/Gvkm] (5)

InputActivityRatio[r,t,f,m,y]¶

The equation (6) shows the Input Activity Ratio for TRMIVLPG02, for every scenario and associated to the fuel LPG for private transport.

InputActivityRatio=1.98 [PJ/Gvkm] (6)

OperationalLife[r,t]¶

The equation (7) shows the Operational Life for TRMIVLPG02, for every scenario.

OperationalLife=15 Years (7)

OutputActivityRatio[r,t,f,m,y]¶

The equation (8) shows the Output Activity Ratio for TRMIVLPG02, for every scenario and associated to the fuel Private Transport in Minivan.

OutputActivityRatio=1 [PJ/Gvkm] (8)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 1 shows the Total Annual Max Capacity for TRMIVLPG02, for every scenario.

_images/TRMIVLPG02_TotalAnnualMaxCapacity.png

Figure 1) Total Annual Max Capacity for TRMIVLPG02 for every scenario.¶

UnitCapitalCost[r,t,y]¶

The equation (9) shows the Unit Capital Cost for TRMIVLPG02, for every scenario.

UnitCapitalCost=26369.805 [$] (9)

UnitFixedCost[r,t,y]¶

The equation (10) shows the Unit Fixed Cost for TRMIVLPG02, for every scenario.

UnitFixedCost=910.7554 [$] (10)

Motorcycles¶

Motorcycles (Grouping Technology)¶


Set codification:		Techs_Motos
Description:		Motorcycles
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
DistanceDriven[r,t,y]	km/year	7327	7327	7327	7327
InputActivityRatio[r,t,f,m,y] (Private Transport in Motorcycle)	Gpkm/ Gvkm	1	1	1	1
OperationalLife[r,t]	Years	1	1	1	1
OutputActivityRatio[r,t,f,m,y] (Transport Demand Passenger Private)	Gpkm/ Gvkm	1.1	1.1	1.1	1.1
TotalAnnualMaxCapacity[r,t,y] (BAU)	Gvkm	2.9069	3.6976	4.4782	5.2725
TotalAnnualMaxCapacity[r,t,y] (NDP)	Gvkm	2.9076	3.5905	3.1017	3.3498
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (BAU)	Gvkm	2.9011	3.6902	4.4692	5.262
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	2.9024	3.584	3.0932	3.3437

DistanceDriven[r,t,y]¶

The equation (1) shows the Distance Driven for Techs_Motos, for every scenario.

DistanceDriven=7327 [km/year] (1)

InputActivityRatio[r,t,f,m,y]¶

The equation (2) shows the Input Activity Ratio for Techs_Motos, for every scenario and associated to the fuel Private Transport in Motorcycle.

InputActivityRatio=1 [Gpkm/Gvkm] (2)

OperationalLife[r,t]¶

The equation (3) shows the Operational Life for Techs_Motos, for every scenario.

OperationalLife=1 Years (3)

Source:: This is the source.
Description:: This is the description.

OutputActivityRatio[r,t,f,m,y]¶

The equation (4) shows the Output Activity Ratio for Techs_Motos, for every scenario and associated to the fuel Transport Demand Passenger Private.

OutputActivityRatio=1.1 [Gpkm/Gvkm] (4)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 1 shows the Total Annual Max Capacity for Techs_Motos, for the BAU scenario.

_images/Techs_Motos_TotalAnnualMaxCapacity_BAU.png

Figure 1) Total Annual Max Capacity for Techs_Motos for the BAU scenario.¶

The figure 2 shows the Total Annual Max Capacity for Techs_Motos, for the NDP scenario.

_images/Techs_Motos_TotalAnnualMaxCapacity_NDP_OP15C.png

Figure 2) Total Annual Max Capacity for Techs_Motos for the NDP scenario.¶

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 3 shows the Total Technology Annual Activity Lower Limit for Techs_Motos, for the BAU scenario.

_images/Techs_Motos_TotalTechnologyAnnualActivityLowerLimit_BAU.png

Figure 3) Total Technology Annual Activity Lower Limit for Techs_Motos for the BAU scenario.¶

The figure 4 shows the Total Technology Annual Activity Lower Limit for Techs_Motos, for the NDP scenario.

_images/Techs_Motos_TotalTechnologyAnnualActivityLowerLimit_NDP_OP.png

Figure 4) Total Technology Annual Activity Lower Limit for Techs_Motos for the NDP scenario.¶

Motorcycle electric (new)¶


Set codification:		TRMOTELC02
Description:		Motorcycle electric (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	202	202	202	202
DistanceDriven[r,t,y]	km/year	7327	7327	7327	7327
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.64	0.64	0.64	0.64
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
FixedCost[r,t,y]	M$/Gvkm	1.7853	1.7853	1.7853	1.7853
InputActivityRatio[r,t,f,m,y] (Electricity for private transport)	PJ/ Gvkm	0.17	0.17	0.17	0.17
OperationalLife[r,t]	Years	12	12	12	12
OutputActivityRatio[r,t,f,m,y] (Private Transport in Motorcycle)	PJ/ Gvkm	1	1	1	1
TotalAnnualMaxCapacity[r,t,y] (BAU)	Gvkm	0	99999	99999	99999
TotalAnnualMaxCapacity[r,t,y] (NDP)	Gvkm	0	0.3133	2.3206	3.2831
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	0	0.3128	2.3142	3.2772
UnitCapitalCost[r,t,y]	$	1480.054	1480.054	1480.054	1480.054
UnitFixedCost[r,t,y]	$	13.0809	13.0809	13.0809	13.0809

CapitalCost[r,t,y]¶

The equation (1) shows the Capital Cost for TRMOTELC02, for every scenario.

CapitalCost=202 [M$/Gvkm] (1)

DistanceDriven[r,t,y]¶

The equation (2) shows the Distance Driven for TRMOTELC02, for every scenario.

DistanceDriven=7327 [km/year] (2)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (3) shows the Emission Activity Ratio for TRMOTELC02, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.64 (3)

The equation (4) shows the Emission Activity Ratio for TRMOTELC02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (4)

FixedCost[r,t,y]¶

The equation (5) shows the Fixed Cost for TRMOTELC02, for every scenario.

FixedCost=1.7853 [M$/Gvkm] (5)

InputActivityRatio[r,t,f,m,y]¶

The equation (6) shows the Input Activity Ratio for TRMOTELC02, for every scenario and associated to the fuel Electricity for private transport.

InputActivityRatio=0.17 [PJ/Gvkm] (6)

OperationalLife[r,t]¶

The equation (7) shows the Operational Life for TRMOTELC02, for every scenario.

OperationalLife=12 Years (7)

OutputActivityRatio[r,t,f,m,y]¶

The equation (8) shows the Output Activity Ratio for TRMOTELC02, for every scenario and associated to the fuel Private Transport in Motorcycle.

OutputActivityRatio=1 [PJ/Gvkm] (8)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 1 shows the Total Annual Max Capacity for TRMOTELC02, for the BAU scenario.

_images/TRMOTELC02_TotalAnnualMaxCapacity_BAU.png

Figure 1) Total Annual Max Capacity for TRMOTELC02 for the BAU scenario.¶

The figure 2 shows the Total Annual Max Capacity for TRMOTELC02, for the NDP scenario.

_images/TRMOTELC02_TotalAnnualMaxCapacity_NDP.png

Figure 2) Total Annual Max Capacity for TRMOTELC02 for the NDP scenario.¶

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 3 shows the Total Technology Annual Activity Lower Limit for TRMOTELC02, for the NDP scenario.

_images/TRMOTELC02_TotalTechnologyAnnualActivityLowerLimit_NDP.png

Figure 3) Total Technology Annual Activity Lower Limit for TRMOTELC02 for the NDP scenario.¶

UnitCapitalCost[r,t,y]¶

The equation (9) shows the Unit Capital Cost for TRMIVLPG02, for every scenario.

UnitCapitalCost=26369.805 [$] (9)

UnitFixedCost[r,t,y]¶

The equation (10) shows the Unit Fixed Cost for TRMIVLPG02, for every scenario.

UnitFixedCost=910.7554 [$] (10)

Motorcycle Gasoline (existing)¶


Set codification:		TRMOTGAS01
Description:		Motorcycle Gasoline (existing)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
DistanceDriven[r,t,y]	km/year	7327	7327	7327	7327
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.64	0.64	0.64	0.64
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
EmissionActivityRatio[r,t,e,m,y] (Health)		0.01	0.01	0.01	0.01
FixedCost[r,t,y]	M$/Gvkm	5.41	5.41	5.41	5.41
InputActivityRatio[r,t,f,m,y] (Gasoline for private transport)	PJ/ Gvkm	1.2825	1.1475	1.08	1.08
OperationalLife[r,t]	Years	15	15	15	15
OutputActivityRatio[r,t,f,m,y] (Private Transport in Motorcycle)	PJ/ Gvkm	1	1	1	1
ResidualCapacity[r,t,y] (BAU)	Gvkm	2.1801	0.9244	0	0
ResidualCapacity[r,t,y] (NDP)	Gvkm	2.1801	0.7697	0	0
TotalAnnualMaxCapacity[r,t,y] (BAU)	Gvkm	2.1801	0.9244	0	0
TotalAnnualMaxCapacity[r,t,y] (NDP)	Gvkm	2.1801	0.7697	0	0
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (BAU)	Gvkm	2.1758	0.9225	0	0
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP and OP15C)	Gvkm	2.1758	0.7681	0	0
UnitFixedCost[r,t,y]	$	39.6391	39.6391	39.6391	39.6391

DistanceDriven[r,t,y]¶

The equation (1) shows the Distance Driven for TRMOTGAS01, for every scenario.

DistanceDriven=7327 [km/year] (1)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (2) shows the Emission Activity Ratio for TRMOTGAS01, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.09 (2)

The equation (3) shows the Emission Activity Ratio for TRMOTGAS01, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (3)

The equation (4) shows the Emission Activity Ratio for TRMOTGAS01, for every scenario and associated to the emission Health.

EmissionActivityRatio=0.01 (4)

FixedCost[r,t,y]¶

The equation (5) shows the Fixed Cost for TRMOTGAS01, for every scenario.

FixedCost=61.65 [M$/Gvkm] (5)

InputActivityRatio[r,t,f,m,y]¶

The figure 1 shows the Input Activity Ratio for TRMOTGAS01, for every scenario and associated to the fuel Gasoline for private transport.

_images/TRMOTGAS01_InputActivityRatio.png

Figure 1) Input Activity Ratio for TRMOTGAS01 for every scenario.¶

OperationalLife[r,t]¶

The equation (6) shows the Operational Life for TRMOTGAS01, for every scenario.

OperationalLife=15 Years (6)

OutputActivityRatio[r,t,f,m,y]¶

The equation (7) shows the Output Activity Ratio for TRMOTGAS01, for every scenario and associated to the fuel Private Transport in Motorcycle.

OutputActivityRatio=1 [PJ/Gvkm] (7)

ResidualCapacity[r,t,y]¶

The figure 2 shows the Residual Capacity for TRMOTGAS01, for the BAU scenario.

_images/TRMOTGAS01_ResidualCapacity_BAU.png

Figure 2) Residual Capacity for TRMOTGAS01 for the BAU scenario.¶

The figure 3 shows the Residual Capacity for TRMOTGAS01, for the NDP scenario.

_images/TRMOTGAS01_ResidualCapacity_NDP.png

Figure 3) Residual Capacity for TRMOTGAS01 for the NDP scenario.¶

TotalAnnualMaxCapacity[r,t,y]¶

The figure 4 shows the Total Annual Max Capacity for TRMOTGAS01, for the BAU scenario.

_images/TRMOTGAS01_TotalAnnualMaxCapacity_BAU.png

Figure 4) Total Annual Max Capacity for TRMOTGAS01 for the BAU scenario.¶

The figure 5 shows the Total Annual Max Capacity for TRMOTGAS01, for the NDP scenario.

_images/TRMOTGAS01_TotalAnnualMaxCapacity_NDP.png

Figure 5) Total Annual Max Capacity for TRMOTGAS01 for the NDP scenario.¶

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 6 shows the Total Technology Annual Activity Lower Limit for TRMOTGAS01, for the BAU scenario.

_images/TRMOTGAS01_TotalTechnologyAnnualActivityLowerLimit_BAU.png

Figure 6) Total Technology Annual Activity Lower Limit for TRMOTGAS01 for the BAU scenario.¶

The figure 7 shows the Total Technology Annual Activity Lower Limit for TRMOTGAS01, for the NDP scenario.

_images/TRMOTGAS01_TotalTechnologyAnnualActivityLowerLimit_NDP.png

Figure 7) Total Technology Annual Activity Lower Limit for TRMOTGAS01 for the NDP scenario.¶

UnitFixedCost[r,t,y]¶

The equation (8) shows the Unit Fixed Cost for TRMOTGAS01, for every scenario.

UnitFixedCost=39.6391 [$] (8)

Motorcycle Gasoline (new)¶


Set codification:		TRMOTGAS02
Description:		Motorcycle Gasoline (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	122.33	122.33	122.33	122.33
DistanceDriven[r,t,y]	km/year	7327	7327	7327	7327
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.64	0.64	0.64	0.64
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
EmissionActivityRatio[r,t,e,m,y] (Health)		0.01	0.01	0.01	0.01
FixedCost[r,t,y]	M$/Gvkm	5.41	5.41	5.41	5.41
InputActivityRatio[r,t,f,m,y] (Gasoline for private transport)	PJ/ Gvkm	1.06	1.02	0.98	0.94
OperationalLife[r,t]	Years	15	15	15	15
OutputActivityRatio[r,t,f,m,y] (Private Transport in Motorcycle)	PJ/ Gvkm	1	1	1	1
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (BAU)	Gvkm	0.7252	2.7676	4.4692	5.262
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	0.7252	0	0	0
UnitCapitalCost[r,t,y]	$	894.3119	894.3119	894.3119	894.3119
UnitFixedCost[r,t,y]	$	39.6391	39.6391	39.6391	39.6391

CapitalCost[r,t,y]¶

The equation (1) shows the Capital Cost for TRMOTGAS02, for every scenario.

CapitalCost=122.33 [M$/Gvkm] (1)

DistanceDriven[r,t,y]¶

The equation (2) shows the Distance Driven for TRMOTGAS02, for every scenario.

DistanceDriven=7327 [km/year] (2)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (3) shows the Emission Activity Ratio for TRMOTGAS02, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.64 (3)

The equation (4) shows the Emission Activity Ratio for TRMOTGAS02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (4)

The equation (5) shows the Emission Activity Ratio for TRMOTGAS02, for every scenario and associated to the emission Health.

EmissionActivityRatio=0.01 (5)

FixedCost[r,t,y]¶

The equation (6) shows the Fixed Cost for TRMOTGAS02, for every scenario.

FixedCost=5.41 [M$/Gvkm] (6)

InputActivityRatio[r,t,f,m,y]¶

The figure 1 shows the Input Activity Ratio for TRMOTGAS02, for every scenario and associated to the fuel Gasoline for private transport.

_images/TRMOTGAS02_InputActivityRatio.png

Figure 1) Input Activity Ratio for TRMOTGAS02 for every scenario.¶

OperationalLife[r,t]¶

The equation (7) shows the Operational Life for TRMOTGAS02, for every scenario.

OperationalLife=15 Years (7)

OutputActivityRatio[r,t,f,m,y]¶

The equation (8) shows the Output Activity Ratio for TRMOTGAS02, for every scenario and associated to the fuel Private Transport in Motorcycle.

OutputActivityRatio=1 [PJ/Gvkm] (8)

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 2 shows the Total Technology Annual Activity Lower Limit for TRMOTGAS02, for the BAU scenario.

_images/TRMOTGAS02_TotalTechnologyAnnualActivityLowerLimit_BAU.png

Figure 2) Total Technology Annual Activity Lower Limit for TRMOTGAS02 for the BAU scenario.¶

The figure 3 shows the Total Technology Annual Activity Lower Limit for TRMOTGAS02, for the NDP scenario.

_images/TRMOTGAS02_TotalTechnologyAnnualActivityLowerLimit_NDP.png

Figure 3) Total Technology Annual Activity Lower Limit for TRMOTGAS02 for the NDP scenario.¶

UnitCapitalCost[r,t,y]¶

The equation (9) shows the Unit Capital Cost for TRMOTGAS02, for every scenario.

UnitCapitalCost=894.3119 [$] (9)

UnitFixedCost[r,t,y]¶

The equation (10) shows the Unit Fixed Cost for TRMOTGAS02, for every scenario.

UnitFixedCost=39.6391 [$] (10)

Taxis¶

Taxis (Grouping Technology)¶


Set codification:		Techs_Taxis
Description:		Taxis
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
DistanceDriven[r,t,y]	km/year	48704	48704	48704	48704
InputActivityRatio[r,t,f,m,y] (Public Transport in Taxi)	Gpkm/ Gvkm	1	1	1	1
OperationalLife[r,t]	Years	1	1	1	1
OutputActivityRatio[r,t,f,m,y] (Transport Demand Passenger Public)	Gpkm/ Gvkm	1.2	1.2	1.2	1.2
TotalAnnualMaxCapacity[r,t,y] (BAU)	Gvkm	0.633	0.7924	0.9381	1.0836
TotalAnnualMaxCapacity[r,t,y] (NDP)	Gvkm	0.6336	0.8069	1.2249	1.4605
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (BAU)	Gvkm	0.6317	0.7908	0.9363	1.0814
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	0.6321	0.805	1.2219	1.4569

DistanceDriven[r,t,y]¶

The equation (1) shows the Distance Driven for Techs_Taxis, for every scenario.

DistanceDriven=48704 [km/year] (1)

InputActivityRatio[r,t,f,m,y]¶

The equation (2) shows the Input Activity Ratio for Techs_Taxis, for every scenario and associated to the fuel Private Transport in Taxi.

InputActivityRatio=1 [Gpkm/Gvkm] (2)

OperationalLife[r,t]¶

The equation (3) shows the Operational Life for Techs_Taxis, for every scenario.

OperationalLife=1 Years (3)

OutputActivityRatio[r,t,f,m,y]¶

The equation (4) shows the Output Activity Ratio for Techs_Taxis, for every scenario and associated to the fuel Transport Demand Passenger Public.

OutputActivityRatio=1.6 [Gpkm/Gvkm] (4)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 1 shows the Total Annual Max Capacity for Techs_Taxis, for the BAU scenario.

_images/Techs_Taxis_TotalAnnualMaxCapacity_BAU.png

Figure 1) Total Annual Max Capacity for Techs_Taxis for the BAU scenario.¶

The figure 2 shows the Total Annual Max Capacity for Techs_Taxis, for the NDP scenario.

_images/Techs_Taxis_TotalAnnualMaxCapacity_NDP_OP15C.png

Figure 2) Total Annual Max Capacity for Techs_Taxis for the NDP scenario.¶

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 3 shows the Total Technology Annual Activity Lower Limit for Techs_Taxis, for the BAU scenario.

_images/Techs_Taxis_TotalTechnologyAnnualActivityLowerLimit_BAU.png

Figure 3) Total Technology Annual Activity Lower Limit for Techs_Taxis for the BAU scenario.¶

The figure 4 shows the Total Technology Annual Activity Lower Limit for Techs_Taxis, for the NDP scenario.

_images/Techs_Taxis_TotalTechnologyAnnualActivityLowerLimit_NDP_OP.png

Figure 4) Total Technology Annual Activity Lower Limit for Techs_Taxis for the NDP scenario.¶

Taxi Diesel (existing)¶


Set codification:		TRTAXDSL01
Description:		Taxi Diesel (existing)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
DistanceDriven[r,t,y]	km/year	48704	48704	48704	48704
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.09	0.09	0.09	0.09
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
EmissionActivityRatio[r,t,e,m,y] (Health)		0.01	0.01	0.01	0.01
FixedCost[r,t,y]	M$/Gvkm	49.32	49.32	49.32	49.32
InputActivityRatio[r,t,f,m,y] (Diesel for public transport)	PJ/ Gvkm	2.67	2.67	2.67	2.67
OperationalLife[r,t]	Years	10	10	10	10
OutputActivityRatio[r,t,f,m,y] (Public Transport in Taxi)	PJ/ Gvkm	1	1	1	1
ResidualCapacity[r,t,y] (BAU)	Gvkm	0.1376	0.0574	0	0
ResidualCapacity[r,t,y] (NDP)	Gvkm	0.1376	0.0699	0	0
TotalAnnualMaxCapacity[r,t,y] (BAU)	Gvkm	0.1376	0.0574	0	0
TotalAnnualMaxCapacity[r,t,y] (NDP)	Gvkm	0.1376	0.0699	0	0
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (BAU)	Gvkm	0.1373	0.0573	0	0
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	0.1373	0.0698	0	0
UnitFixedCost[r,t,y]	$	2402.0813	2402.0813	2402.0813	2402.0813

DistanceDriven[r,t,y]¶

The equation (1) shows the Distance Driven for TRTAXDSL01, for every scenario.

DistanceDriven=48704 [km/year] (1)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (2) shows the Emission Activity Ratio for TRTAXDSL01, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.09 (2)

The equation (3) shows the Emission Activity Ratio for TRTAXDSL01, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (3)

The equation (4) shows the Emission Activity Ratio for TRTAXDSL01, for every scenario and associated to the emission Health.

EmissionActivityRatio=0.01 (4)

FixedCost[r,t,y]¶

The equation (5) shows the Fixed Cost for TRTAXDSL01, for every scenario.

FixedCost=49.32 [M$/Gvkm] (5)

Source:: This is the source.
Description:: This is the description.

InputActivityRatio[r,t,f,m,y]¶

The equation (6) shows the Input Activity Ratio for TRTAXDSL01, for every scenario and associated to the fuel Diesel for public transport.

InputActivityRatio=2.67 [PJ/Gvkm] (6)

OperationalLife[r,t]¶

The equation (7) shows the Operational Life for TRTAXDSL01, for every scenario.

OperationalLife=10 Years (7)

Source:: This is the source.
Description:: This is the description.

OutputActivityRatio[r,t,f,m,y]¶

The equation (8) shows the Output Activity Ratio for TRTAXDSL01, for every scenario and associated to the fuel Public Transport in Taxi.

OutputActivityRatio=1 [PJ/Gvkm] (8)

ResidualCapacity[r,t,y]¶

The figure 1 shows the Residual Capacity for TRTAXDSL01, for the BAU scenario.

_images/TRTAXDSL01_ResidualCapacity_BAU.png

Figure 1) Residual Capacity for TRTAXDSL01 for the BAU scenario.¶

The figure 2 shows the Residual Capacity for TRTAXDSL01, for the NDP scenario.

_images/TRTAXDSL01_ResidualCapacity_NDP.png

Figure 2) Residual Capacity for TRTAXDSL01 for the NDP scenario.¶

TotalAnnualMaxCapacity[r,t,y]¶

The figure 3 shows the Total Annual Max Capacity for TRTAXDSL01, for the BAU scenario.

_images/TRTAXDSL01_TotalAnnualMaxCapacity_BAU.png

Figure 3) Total Annual Max Capacity for TRTAXDSL01 for the BAU scenario.¶

The figure 4 shows the Total Annual Max Capacity for TRTAXDSL01, for the NDP scenario.

_images/TRTAXDSL01_TotalAnnualMaxCapacity_NDP.png

Figure 4) Total Annual Max Capacity for TRTAXDSL01 for the NDP scenario.¶

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 5 shows the Total Technology Annual Activity Lower Limit for TRTAXDSL01, for the BAU scenario.

_images/TRTAXDSL01_TotalTechnologyAnnualActivityLowerLimit_BAU.png

Figure 5) Total Technology Annual Activity Lower Limit for TRTAXDSL01 for the BAU scenario.¶

The figure 6 shows the Total Technology Annual Activity Lower Limit for TRTAXDSL01, for the NDP scenario.

_images/TRTAXDSL01_TotalTechnologyAnnualActivityLowerLimit_NDP.png

Figure 6) Total Technology Annual Activity Lower Limit for TRTAXDSL01 for the NDP scenario.¶

UnitFixedCost[r,t,y]¶

The equation (9) shows the Unit Fixed Cost for TRTAXDSL01, for every scenario.

UnitFixedCost=2402.0813 [$] (9)

Taxi Diesel (new)¶


Set codification:		TRTAXDSL02
Description:		Taxi Diesel (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	375.67	375.67	375.67	375.67
DistanceDriven[r,t,y]	km/year	48704	48704	48704	48704
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.09	0.09	0.09	0.09
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
EmissionActivityRatio[r,t,e,m,y] (Health)		0.01	0.01	0.01	0.01
FixedCost[r,t,y]	M$/Gvkm	49.32	49.32	49.32	49.32
InputActivityRatio[r,t,f,m,y] (Diesel for public transport)	PJ/ Gvkm	1.33	1.33	1.33	1.33
OperationalLife[r,t]	Years	10	10	10	10
OutputActivityRatio[r,t,f,m,y] (Public Transport in Taxi)	PJ/ Gvkm	1	1	1	1
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (BAU)	Gvkm	0.0457	0.1719	0.2307	0.2665
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	0.0457	0	0	0
UnitCapitalCost[r,t,y]	$	18296.6317	18296.6317	18296.6317	18296.6317
UnitFixedCost[r,t,y]	$	2402.0813	2402.0813	2402.0813	2402.0813

CapitalCost[r,t,y]¶

The equation (1) shows the Capital Cost for TRTAXDSL02, for every scenario.

CapitalCost=375.67 [M$/Gvkm] (1)

DistanceDriven[r,t,y]¶

The equation (2) shows the Distance Driven for TRTAXDSL02, for every scenario.

DistanceDriven=48704 [km/year] (2)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (3) shows the Emission Activity Ratio for TRTAXDSL02, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.09 (3)

The equation (4) shows the Emission Activity Ratio for TRTAXDSL02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (4)

The equation (5) shows the Emission Activity Ratio for TRTAXDSL02, for every scenario and associated to the emission Health.

EmissionActivityRatio=0.01 (5)

FixedCost[r,t,y]¶

The equation (6) shows the Fixed Cost for TRTAXDSL02, for every scenario.

FixedCost=49.32 [M$/Gvkm] (6)

InputActivityRatio[r,t,f,m,y]¶

The equation (7) shows the Input Activity Ratio for TRTAXDSL02, for every scenario and associated to the fuel Diesel for public transport.

InputActivityRatio=1.33 [PJ/Gvkm] (7)

OperationalLife[r,t]¶

The equation (8) shows the Operational Life for TRTAXDSL02, for every scenario.

OperationalLife=10 Years (8)

OutputActivityRatio[r,t,f,m,y]¶

The equation (9) shows the Output Activity Ratio for TRTAXDSL02, for every scenario and associated to the fuel Public Transport in Taxi.

OutputActivityRatio=1 [PJ/Gvkm] (9)

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 1 shows the Total Technology Annual Activity Lower Limit for TRTAXDSL02, for the BAU scenario.

_images/TRTAXDSL02_TotalTechnologyAnnualActivityLowerLimit_BAU.png

Figure 1) Total Technology Annual Activity Lower Limit for TRTAXDSL02 for the BAU scenario.¶

The figure 2 shows the Total Technology Annual Activity Lower Limit for TRTAXDSL02, for the NDP scenario.

_images/TRTAXDSL02_TotalTechnologyAnnualActivityLowerLimit_NDP.png

Figure 2) Total Technology Annual Activity Lower Limit for TRTAXDSL02 for the NDP scenario.¶

UnitCapitalCost[r,t,y]¶

The equation (10) shows the Unit Capital Cost for TRTAXDSL02, for every scenario.

UnitCapitalCost=18296.6317 [$] (10)

UnitFixedCost[r,t,y]¶

The equation (11) shows the Unit Fixed Cost for TRTAXDSL02, for every scenario.

UnitFixedCost=2402.0813 [$] (11)

Taxi Electric (new)¶


Set codification:		TRTAXELC02
Description:		Taxi Electric (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	719	534	492	449
DistanceDriven[r,t,y]	km/year	48704	48704	48704	48704
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.09	0.09	0.09	0.09
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
FixedCost[r,t,y]	M$/Gvkm	16.2756	16.2756	16.2756	16.2756
InputActivityRatio[r,t,f,m,y] (Electricity for public transport)	PJ/ Gvkm	0.62	0.62	0.62	0.62
OperationalLife[r,t]	Years	10	10	10	10
OutputActivityRatio[r,t,f,m,y] (Public Transport in Taxi)	PJ/ Gvkm	1	1	1	1
TotalAnnualMaxCapacity[r,t,y] (BAU)	Gvkm	0	0	0.0156	0.0541
TotalAnnualMaxCapacity[r,t,y] (NDP)	Gvkm	0	0.0603	0.7865	1.229
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (BAU)	Gvkm	0	0	0.0156	0.054
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	0	0.0601	0.7846	1.226
UnitCapitalCost[r,t,y]	$	35018.176	26007.936	23962.368	21868.096
UnitFixedCost[r,t,y]	$	792.6868	792.6868	792.6868	792.6868

CapitalCost[r,t,y]¶

The figure 1 shows the Capital Cost for TRTAXELC02, for every scenario.

Figure 1) Capital Cost for TRTAXELC02 for every scenario.¶

DistanceDriven[r,t,y]¶

The equation (1) shows the Distance Driven for TRTAXELC02, for every scenario.

DistanceDriven=48704 [km/year] (1)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (2) shows the Emission Activity Ratio for TRTAXELC02, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.09 (2)

The equation (3) shows the Emission Activity Ratio for TRTAXELC02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (3)

FixedCost[r,t,y]¶

The equation (4) shows the Fixed Cost for TRTAXELC02, for every scenario.

FixedCost=16.2756 [M$/Gvkm] (4)

InputActivityRatio[r,t,f,m,y]¶

The equation (5) shows the Input Activity Ratio for TRTAXELC02, for every scenario and associated to the fuel Electricity for public transport.

InputActivityRatio=0.62 [PJ/Gvkm] (5)

OperationalLife[r,t]¶

The equation (6) shows the Operational Life for TRTAXELC02, for every scenario.

OperationalLife=10 Years (6)

OutputActivityRatio[r,t,f,m,y]¶

The equation (7) shows the Output Activity Ratio for TRTAXELC02, for every scenario and associated to the fuel Public Transport in Taxi.

OutputActivityRatio=1 [PJ/Gvkm] (7)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 2 shows the Total Annual Max Capacity for TRTAXELC02, for the BAU scenario.

_images/TRTAXELC02_TotalAnnualMaxCapacity_BAU.png

Figure 2) Total Annual Max Capacity for TRTAXELC02 for the BAU scenario.¶

The figure 3 shows the Total Annual Max Capacity for TRTAXELC02, for the NDP scenario.

_images/TRTAXELC02_TotalAnnualMaxCapacity_NDP.png

Figure 3) Total Annual Max Capacity for TRTAXELC02 for the NDP scenario.¶

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 4 shows the Total Technology Annual Activity Lower Limit for TRTAXELC02, for the BAU scenario.

_images/TRTAXELC02_TotalTechnologyAnnualActivityLowerLimit_BAU.png

Figure 4) Total Technology Annual Activity Lower Limit for TRTAXELC02 for the BAU scenario.¶

The figure 5 shows the Total Technology Annual Activity Lower Limit for TRTAXELC02, for the NDP scenario.

_images/TRTAXELC02_TotalTechnologyAnnualActivityLowerLimit_NDP.png

Figure 5) Total Technology Annual Activity Lower Limit for TRTAXELC02 for the NDP scenario.¶

UnitCapitalCost[r,t,y]¶

The figure 6 shows the Unit Capital Cost for TRTAXELC02, for every scenario.

Figure 6) Unit Capital Cost for TRTAXELC02 for every scenario.¶

UnitFixedCost[r,t,y]¶

The equation (8) shows the Unit Fixed Cost for TRTAXELC02, for every scenario.

UnitFixedCost=792.6868 [$] (8)

Taxi Gasoline (existing)¶


Set codification:		TRTAXGAS01
Description:		Taxi Gasoline (existing)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
DistanceDriven[r,t,y]	km/year	48704	48704	48704	48704
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.09	0.09	0.09	0.09
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
FixedCost[r,t,y]	M$/Gvkm	49.32	49.32	49.32	49.32
InputActivityRatio[r,t,f,m,y] (Gasoline for public transport)	PJ/ Gvkm	2.81	2.81	2.81	2.81
OperationalLife[r,t]	Years	10	10	10	10
OutputActivityRatio[r,t,f,m,y] (Public Transport in Taxi)	PJ/ Gvkm	1	1	1	1
ResidualCapacity[r,t,y] (BAU)	Gvkm	0.337	0.1406	0	0
ResidualCapacity[r,t,y] (NDP)	Gvkm	0.337	0.1713	0	0
TotalAnnualMaxCapacity[r,t,y] (BAU)	Gvkm	0.337	0.1406	0	0
TotalAnnualMaxCapacity[r,t,y] (NDP)	Gvkm	0.337	0.1713	0	0
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (BAU)	Gvkm	0.3363	0.1403	0	0
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	0.3363	0.1709	0	0
UnitFixedCost[r,t,y]	$	2402.0813	2402.0813	2402.0813	2402.0813

DistanceDriven[r,t,y]¶

The equation (1) shows the Distance Driven for TRTAXGAS01, for every scenario.

DistanceDriven=48704 [km/year] (1)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (2) shows the Emission Activity Ratio for TRTAXGAS01, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.09 (2)

The equation (3) shows the Emission Activity Ratio for TRTAXGAS01, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (3)

FixedCost[r,t,y]¶

The equation (4) shows the Fixed Cost for TRTAXGAS01, for every scenario.

FixedCost=49.32 [M$/Gvkm] (4)

InputActivityRatio[r,t,f,m,y]¶

The equation (5) shows the Input Activity Ratio for TRTAXGAS01, for every scenario and associated to the fuel Gasoline for public transport.

InputActivityRatio=2.81 [PJ/Gvkm] (5)

OperationalLife[r,t]¶

The equation (6) shows the Operational Life for TRTAXGAS01, for every scenario.

OperationalLife=10 Years (6)

OutputActivityRatio[r,t,f,m,y]¶

The equation (7) shows the Output Activity Ratio for TRTAXGAS01, for every scenario and associated to the fuel Public Transport in Taxi.

OutputActivityRatio=1 [PJ/Gvkm] (7)

ResidualCapacity[r,t,y]¶

The figure 1 shows the Residual Capacity for TRTAXGAS01, for the BAU scenario.

_images/TRTAXGAS01_ResidualCapacity_BAU.png

Figure 1) Residual Capacity for TRTAXGAS01 for the BAU scenario.¶

The figure 2 shows the Residual Capacity for TRTAXGAS01, for the NDP scenario.

_images/TRTAXGAS01_ResidualCapacity_NDP.png

Figure 2) Residual Capacity for TRTAXGAS01 for the NDP scenario.¶

TotalAnnualMaxCapacity[r,t,y]¶

The figure 3 shows the Total Annual Max Capacity for TRTAXGAS01, for the BAU scenario.

_images/TRTAXGAS01_TotalAnnualMaxCapacity_BAU.png

Figure 3) Total Annual Max Capacity for TRTAXGAS01 for the BAU scenario.¶

The figure 4 shows the Total Annual Max Capacity for TRTAXGAS01, for the NDP scenarios.

_images/TRTAXGAS01_TotalAnnualMaxCapacity_NDP.png

Figure 4) Total Annual Max Capacity for TRTAXGAS01 for the NDP scenario.¶

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 5 shows the Total Technology Annual Activity Lower Limit for TRTAXGAS01, for the BAU scenario.

_images/TRTAXGAS01_TotalTechnologyAnnualActivityLowerLimit_BAU.png

Figure 5) Total Technology Annual Activity Lower Limit for TRTAXGAS01 for the BAU scenario.¶

The figure 6 shows the Total Technology Annual Activity Lower Limit for TRTAXGAS01, for the NDP scenario.

_images/TRTAXGAS01_TotalTechnologyAnnualActivityLowerLimit_NDP.png

Figure 6) Total Technology Annual Activity Lower Limit for TRTAXGAS01 for the NDP scenario.¶

UnitFixedCost[r,t,y]¶

The equation (8) shows the Unit Fixed Cost for TRTAXGAS01, for every scenario.

UnitFixedCost=2402.0813 [$] (8)

Taxi Gasoline (new)¶


Set codification:		TRTAXGAS02
Description:		Taxi Gasoline (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	341.73	341.73	341.73	341.73
DistanceDriven[r,t,y]	km/year	48704	48704	48704	48704
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.09	0.09	0.09	0.09
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
FixedCost[r,t,y]	M$/Gvkm	49.32	49.32	49.32	49.32
InputActivityRatio[r,t,f,m,y] (Gasoline for public transport)	PJ/ Gvkm	1.64	1.64	1.64	1.64
OperationalLife[r,t]	Years	10	10	10	10
OutputActivityRatio[r,t,f,m,y] (Public Transport in Taxi)	PJ/ Gvkm	1	1	1	1
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (BAU)	Gvkm	0.1121	0.4211	0.565	0.6526
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	0.1121	0	0	0
UnitCapitalCost[r,t,y]	$	16643.6179	16643.6179	16643.6179	16643.6179
UnitFixedCost[r,t,y]	$	2402.0813	2402.0813	2402.0813	2402.0813

CapitalCost[r,t,y]¶

The equation (1) shows the Capital Cost for TRTAXGAS02, for every scenario.

CapitalCost=341.73 [M$/Gvkm] (1)

DistanceDriven[r,t,y]¶

The equation (2) shows the Distance Driven for TRTAXGAS02, for every scenario.

DistanceDriven=48704 [km/year] (2)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (3) shows the Emission Activity Ratio for TRTAXGAS02, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.09 (3)

The equation (4) shows the Emission Activity Ratio for TRTAXGAS02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (4)

FixedCost[r,t,y]¶

The equation (5) shows the Fixed Cost for TRTAXGAS02, for every scenario.

FixedCost=49.32 [M$/Gvkm] (5)

InputActivityRatio[r,t,f,m,y]¶

The equation (6) shows the Input Activity Ratio for TRTAXGAS02, for every scenario and associated to the fuel Gasoline for public transport.

InputActivityRatio=1.64 [PJ/Gvkm] (6)

OperationalLife[r,t]¶

The equation (7) shows the Operational Life for TRTAXGAS02, for every scenario.

OperationalLife=10 Years (7)

OutputActivityRatio[r,t,f,m,y]¶

The equation (8) shows the Output Activity Ratio for TRTAXGAS02, for every scenario and associated to the fuel Public Transport in Taxi.

OutputActivityRatio=1 [PJ/Gvkm] (8)

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 1 shows the Total Technology Annual Activity Lower Limit for TRTAXGAS02, for the BAU scenario.

_images/TRTAXGAS02_TotalTechnologyAnnualActivityLowerLimit_BAU.png

Figure 1) Total Technology Annual Activity Lower Limit for TRTAXGAS02 for the BAU scenario.¶

The figure 2 shows the Total Technology Annual Activity Lower Limit for TRTAXGAS02, for the NDP scenario.

_images/TRTAXGAS02_TotalTechnologyAnnualActivityLowerLimit_NDP.png

Figure 2) Total Technology Annual Activity Lower Limit for TRTAXGAS02 for the NDP scenario.¶

UnitCapitalCost[r,t,y]¶

The equation (9) shows the Unit Capital Cost for TRTAXGAS02, for every scenario.

UnitCapitalCost=16643.6179 [$] (9)

UnitFixedCost[r,t,y]¶

The equation (10) shows the Unit Fixed Cost for TRTAXGAS02, for every scenario.

UnitFixedCost=2402.0813 [$] (10)

Taxi Hybrid Electric-Diesel (new)¶


Set codification:		TRTAXHYBD02
Description:		Taxi Hybrid Electric-Diesel (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	483	497	511	524
DistanceDriven[r,t,y]	km/year	48704	48704	48704	48704
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.09	0.09	0.09	0.09
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
FixedCost[r,t,y]	M$/Gvkm	24.66	24.66	24.66	24.66
InputActivityRatio[r,t,f,m,y] (Diesel for public transport)	PJ/ Gvkm	0.45	0.45	0.45	0.45
InputActivityRatio[r,t,f,m,y] (Electricity for public transport)	PJ/ Gvkm	0.45	0.45	0.45	0.45
OperationalLife[r,t]	Years	10	10	10	10
OutputActivityRatio[r,t,f,m,y] (Public Transport in Taxi)	PJ/ Gvkm	1	1	1	1
TotalAnnualMaxCapacity[r,t,y]	Gvkm	0	99999	99999	99999
UnitCapitalCost[r,t,y]	$	23524.032	24205.888	24887.744	25520.896
UnitFixedCost[r,t,y]	$	1201.0406	1201.0406	1201.0406	1201.0406

CapitalCost[r,t,y]¶

The figure 1 shows the Capital Cost for TRTAXHYBD02, for every scenario.

Figure 1) Capital Cost for TRTAXHYBD02 for every scenario.¶

DistanceDriven[r,t,y]¶

The equation (1) shows the Distance Driven for TRTAXHYBD02, for every scenario.

DistanceDriven=48704 [km/year] (1)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (2) shows the Emission Activity Ratio for TRTAXHYBD02, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.09 (2)

The equation (3) shows the Emission Activity Ratio for TRTAXHYBD02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (3)

FixedCost[r,t,y]¶

The equation (4) shows the Fixed Cost for TRTAXHYBD02, for every scenario.

FixedCost=24.66 [M$/Gvkm] (4)

InputActivityRatio[r,t,f,m,y]¶

The equation (5) shows the Input Activity Ratio for TRTAXHYBD02, for every scenario and associated to the fuel Electricity for public transport and Diesel for public transport.

InputActivityRatio=0.45 [PJ/Gvkm] (5)

OperationalLife[r,t]¶

The equation (6) shows the Operational Life for TRTAXHYBD02, for every scenario.

OperationalLife=10 Years (6)

OutputActivityRatio[r,t,f,m,y]¶

The equation (7) shows the Output Activity Ratio for TRTAXHYBD02, for every scenario and associated to the fuel Public Transport in Taxi.

OutputActivityRatio=1 [PJ/Gvkm] (7)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 2 shows the Total Annual Max Capacity for TRTAXHYBD02, for every scenario.

_images/TRTAXHYBD02_TotalAnnualMaxCapacity.png

Figure 2) Total Annual Max Capacity for TRTAXHYBD02 for every scenario.¶

UnitCapitalCost[r,t,y]¶

The figure 3 shows the Unit Capital Cost for TRTAXHYBD02, for every scenario.

Figure 3) Unit Capital Cost for TRTAXHYBD02 for every scenario.¶

UnitFixedCost[r,t,y]¶

The equation (8) shows the Unit Fixed Cost for TRTAXHYBD02, for every scenario.

UnitFixedCost=1201.0406 [$] (8)

Taxi Hybrid Electric-Gasoline (new)¶


Set codification:		TRTAXHYBG02
Description:		Taxi Hybrid Electric-Gasoline (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	560.54	416.31	383.57	350.05
DistanceDriven[r,t,y]	km/year	48704	48704	48704	48704
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.09	0.09	0.09	0.09
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
FixedCost[r,t,y]	M$/Gvkm	24.66	24.66	24.66	24.66
InputActivityRatio[r,t,f,m,y] (Electricity for public transport)	PJ/ Gvkm	0.55	0.55	0.55	0.55
InputActivityRatio[r,t,f,m,y] (Gasoline for public transport)	PJ/ Gvkm	0.55	0.55	0.55	0.55
OperationalLife[r,t]	Years	10	10	10	10
OutputActivityRatio[r,t,f,m,y] (Public Transport in Taxi)	PJ/ Gvkm	1	1	1	1
TotalAnnualMaxCapacity[r,t,y]	Gvkm	0	99999	99999	99999
UnitCapitalCost[r,t,y]	$	27300.5402	20275.9622	18681.3933	17048.8352
UnitFixedCost[r,t,y]	$	1201.0406	1201.0406	1201.0406	1201.0406

CapitalCost[r,t,y]¶

The figure 1 shows the Capital Cost for TRTAXHYBG02, for every scenario.

Figure 1) Capital Cost for TRTAXHYBG02 for every scenario.¶

DistanceDriven[r,t,y]¶

The equation (1) shows the Distance Driven for TRTAXHYBG02, for every scenario.

DistanceDriven=48704 [km/year] (1)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (2) shows the Emission Activity Ratio for TRTAXHYBG02, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.09 (2)

The equation (3) shows the Emission Activity Ratio for TRTAXHYBG02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (3)

FixedCost[r,t,y]¶

The equation (4) shows the Fixed Cost for TRTAXHYBG02, for every scenario.

FixedCost=24.66 [M$/Gvkm] (4)

InputActivityRatio[r,t,f,m,y]¶

The equation (5) shows the Input Activity Ratio for TRTAXHYBG02, for every scenario and associated to the fuel Electricity for public transport and Gasoline for public transport.

InputActivityRatio=0.45 [PJ/Gvkm] (5)

OperationalLife[r,t]¶

The equation (6) shows the Operational Life for TRTAXHYBG02, for every scenario.

OperationalLife=10 Years (6)

OutputActivityRatio[r,t,f,m,y]¶

The equation (7) shows the Output Activity Ratio for TRTAXHYBG02, for every scenario and associated to the fuel Public Transport in Taxi.

OutputActivityRatio=1 [PJ/Gvkm] (7)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 2 shows the Total Annual Max Capacity for TRTAXHYBG02, for every scenario.

_images/TRTAXHYBG02_TotalAnnualMaxCapacity.png

Figure 2) Total Annual Max Capacity for TRTAXHYBG02 for every scenario.¶

UnitCapitalCost[r,t,y]¶

The figure 3 shows the Unit Capital Cost for TRTAXHYBG02, for every scenario.

Figure 3) Unit Capital Cost for TRTAXHYBG02 for every scenario.¶

UnitFixedCost[r,t,y]¶

The equation (8) shows the Unit Fixed Cost for TRTAXHYBG02, for every scenario.

UnitFixedCost=1201.0406 [$] (8)

Taxi LPG (new)¶


Set codification:		TRTAXLPG02
Description:		Taxi LPG (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	526	526	526	526
DistanceDriven[r,t,y]	km/year	48704	48704	48704	48704
EmissionActivityRatio[r,t,e,m,y] (Accidents)		0.09	0.09	0.09	0.09
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.081	0.081	0.081	0.081
FixedCost[r,t,y]	M$/Gvkm	49.32	49.32	49.32	49.32
InputActivityRatio[r,t,f,m,y] (LPG for public transport)	PJ/ Gvkm	1.61	1.61	1.61	1.61
OperationalLife[r,t]	Years	10	10	10	10
OutputActivityRatio[r,t,f,m,y] (Public Transport in Taxi)	PJ/ Gvkm	1	1	1	1
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	0	99999	99999	99999
UnitCapitalCost[r,t,y]	$	25618.304	25618.304	25618.304	25618.304
UnitFixedCost[r,t,y]	$	2402.0813	2402.0813	2402.0813	2402.0813

CapitalCost[r,t,y]¶

The equation (1) shows the Capital Cost for TRTAXLPG02, for every scenario.

CapitalCost=526 [M$/Gvkm] (1)

DistanceDriven[r,t,y]¶

The equation (2) shows the Distance Driven for TRTAXLPG02, for every scenario.

DistanceDriven=48704 [km/year] (2)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (3) shows the Emission Activity Ratio for TRTAXLPG02, for every scenario and associated to the emission Accidents.

EmissionActivityRatio=0.09 (3)

The equation (4) shows the Emission Activity Ratio for TRTAXLPG02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.081 (4)

FixedCost[r,t,y]¶

The equation (5) shows the Fixed Cost for TRTAXLPG02, for every scenario.

FixedCost=49.32 [M$/Gvkm] (5)

InputActivityRatio[r,t,f,m,y]¶

The equation (6) shows the Input Activity Ratio for TRTAXLPG02, for every scenario and associated to the fuel LPG for public transport.

InputActivityRatio=1.64 [PJ/Gvkm] (6)

OperationalLife[r,t]¶

The equation (7) shows the Operational Life for TRTAXLPG02, for every scenario.

OperationalLife=10 Years (7)

OutputActivityRatio[r,t,f,m,y]¶

The equation (8) shows the Output Activity Ratio for TRTAXLPG02, for every scenario and associated to the fuel Public Transport in Taxi.

OutputActivityRatio=1 [PJ/Gvkm] (8)

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 1 shows the Total Technology Annual Activity Lower Limit for TRTAXLPG02, for the NDP scenario.

_images/TRTAXLPG02_TotalTechnologyAnnualActivityLowerLimit_NDP.png

Figure 1) Total Technology Annual Activity Lower Limit for TRTAXLPG02 for the NDP scenario.¶

UnitCapitalCost[r,t,y]¶

The equation (9) shows the Unit Capital Cost for TRTAXLPG02, for every scenario.

UnitCapitalCost=25618.304 [$] (9)

UnitFixedCost[r,t,y]¶

The equation (10) shows the Unit Fixed Cost for TRTAXLPG02, for every scenario.

UnitFixedCost=2402.0813 [$] (10)

Trains¶

Train Electric for Freight (new)¶


Set codification:		TRXTRAIELEFRE02
Description:		Train Electric for Freight (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y] (NDP)	M$/Gvkm	0	0	0	0
InputActivityRatio[r,t,f,m,y] (Electricity for Heavy Freight Transport)	Gpkm/ Gvkm	0.4	0.4	0.4	0.4
OperationalLife[r,t]	Years	50	50	50	50
OutputActivityRatio[r,t,f,m,y] (Transport Demand Freight Heavy) (NDP)	Gpkm/ Gvkm	1	1	1	1
TotalAnnualMaxCapacity[r,t,y] (NDP)	Gvkm	0	0.99	2.36	4.1
TotalAnnualMinCapacity[r,t,y] (NDP)	Gvkm	0	0.99	2.36	4.1
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	0	0.99	2.36	4.1

CapitalCost[r,t,y]¶

The figure 1 shows the Capital Cost for TRXTRAIELEFRE02, for the NDP scenario.

_images/TRXTRAIELEFRE02_CapitalCost_NDP.png

Figure 1) Capital Cost for TRXTRAIELEFRE02 for the NDP scenario.¶

InputActivityRatio[r,t,f,m,y]¶

The equation (1) shows the Input Activity Ratio for TRXTRAIELEFRE02, for every scenario and associated to the fuel Electricity for Heavy Freight Transport.

InputActivityRatio=0.4 [Gpkm/Gvkm] (1)

OperationalLife[r,t]¶

The equation (2) shows the Operational Life for TRXTRAIELEFRE02, for every scenario.

OperationalLife=50 Years (2)

OutputActivityRatio[r,t,f,m,y]¶

The equation (3) shows the Output Activity Ratio for TRXTRAIELEFRE02, for the NDP scenario and associated to the fuel Transport Demand Freight Heavy.

OutputActivityRatio=1 [Gpkm/Gvkm] (3)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 2 shows the Total Annual Max Capacity for TRXTRAIELEFRE02, for the NDP scenario.

_images/TRXTRAIELEFRE02_TotalAnnualMaxCapacity_NDP.png

Figure 2) Total Annual Max Capacity for TRXTRAIELEFRE02 for the NDP scenario.¶

TotalAnnualMinCapacity[r,t,y]¶

The figure 2 shows the Total Annual Min Capacity for TRXTRAIELEFRE02, for the NDP scenario.

_images/TRXTRAIELEFRE02_TotalAnnualMinCapacity_NDP.png

Figure 2) Total Annual Min Capacity for TRXTRAIELEFRE02 for the NDP scenario.¶

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 4 shows the Total Technology Annual Activity Lower Limit for TRXTRAIELEFRE02, for the NDP scenario.

_images/TRXTRAIELEFRE02_TotalTechnologyAnnualActivityLowerLimit_NDP.png

Figure 4) Total Technology Annual Activity Lower Limit for TRXTRAIELEFRE02 for the NDP scenario.¶

Train Diesel (existing)¶


Set codification:		TRXTRAINDSL01
Description:		Train Diesel (existing)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
InputActivityRatio[r,t,f,m,y] (Diesel for public transport)	PJ/ Gvkm	1	1	1	1
OperationalLife[r,t]	Years	20	20	20	20
OutputActivityRatio[r,t,f,m,y] ( Transport in Rail)	PJ/ Gvkm	1	1	1	1
ResidualCapacity[r,t,y]	Gvkm	0.06	0.02	0.01	0
TotalAnnualMaxCapacity[r,t,y]	Gvkm	0.06	0.02	0.01	0
TotalTechnologyAnnualActivityLowerLimit[r,t,y]	Gvkm	0.06	0.02	0.01	0

InputActivityRatio[r,t,f,m,y]¶

The equation (1) shows the Input Activity Ratio for TRXTRAINDSL01, for every scenario and associated to the fuel Diesel for public transport.

InputActivityRatio=1 [PJ/Gvkm] (1)

OperationalLife[r,t]¶

The equation (2) shows the Operational Life for TRXTRAINDSL01, for every scenario.

OperationalLife=20 Years (2)

OutputActivityRatio[r,t,f,m,y]¶

The equation (3) shows the Output Activity Ratio for TRXTRAINDSL01, for every scenario and associated to the fuel Transport in Rail.

OutputActivityRatio=1 [PJ/Gvkm] (3)

ResidualCapacity[r,t,y]¶

The figure 1 shows the Residual Capacity for TRXTRAINDSL01, for the every scenario.

_images/TRXTRAINDSL01_ResidualCapacity.png

Figure 1) Residual Capacity for TRXTRAINDSL01 for the every scenario.¶

TotalAnnualMaxCapacity[r,t,y]¶

The figure 2 shows the Total Annual Max Capacity for TRXTRAINDSL01, for the every scenario.

_images/TRXTRAINDSL01_TotalAnnualMaxCapacity.png

Figure 2) Total Annual Max Capacity for TRXTRAINDSL01 for the every scenario.¶

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 3 shows the Total Technology Annual Activity Lower Limit for TRXTRAINDSL01, for every scenario.

_images/TRXTRAINDSL01_TotalTechnologyAnnualActivityLowerLimit.png

Figure 3) Total Technology Annual Activity Lower Limit for TRXTRAINDSL01 for every scenario.¶

Train Diesel (new)¶


Set codification:		TRXTRAINDSL02
Description:		Train Diesel (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
InputActivityRatio[r,t,f,m,y] (Diesel for public transport)	PJ/ Gvkm	1	1	1	1
OperationalLife[r,t]	Years	20	20	20	20
OutputActivityRatio[r,t,f,m,y] (Transport in Rail)	PJ/ Gvkm	1	1	1	1
ResidualCapacity[r,t,y]	Gvkm	0.2	0.2	0.2	0.2
TotalAnnualMaxCapacity[r,t,y]	Gvkm	0.2	0.2	0.2	0.2

InputActivityRatio[r,t,f,m,y]¶

The equation (1) shows the Input Activity Ratio for TRXTRAINDSL02, for every scenario and associated to the fuel Diesel for public transport.

InputActivityRatio=1 [PJ/Gvkm] (1)

OperationalLife[r,t]¶

The equation (2) shows the Operational Life for TRXTRAINDSL02, for every scenario.

OperationalLife=20 Years (2)

OutputActivityRatio[r,t,f,m,y]¶

The equation (3) shows the Output Activity Ratio for TRXTRAINDSL02, for every scenario and associated to the fuel Transport in Rail.

OutputActivityRatio=1 [PJ/Gvkm] (3)

ResidualCapacity[r,t,y]¶

The equation (4) shows the Residual Capacity for TRXTRAINDSL02, for every scenario.

ResidualCapacity=0.2 [GW] (4)

TotalAnnualMaxCapacity[r,t,y]¶

The equation (5) shows the Total Annual Max Capacity for TRXTRAINDSL02, for every scenario.

TotalAnnualMaxCapacity=0.2 [GW] (5)

Train Electric (new)¶


Set codification:		TRXTRAINELC02
Description:		Train Electric (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y] (NDP)	M$/Gvkm	5491.52	0	0	0
InputActivityRatio[r,t,f,m,y] (Electricity for Public Transport)	Gpkm/ Gvkm	0.3	0.3	0.3	0.3
OperationalLife[r,t]	Years	20	20	20	20
OutputActivityRatio[r,t,f,m,y] (Transport in Rail)	Gpkm/ Gvkm	1	1	1	1
TotalAnnualMaxCapacity[r,t,y] (BAU)	Gvkm	0	1	1	1
TotalAnnualMaxCapacity[r,t,y] (NDP)	Gvkm	0	0.4444	1	1
TotalAnnualMinCapacity[r,t,y] (NDP)	Gvkm	0	0.4444	1	1
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	0	0.4444	1	1

CapitalCost[r,t,y]¶

The figure 1 shows the Capital Cost for TRXTRAINELC02, for NDP scenario.

_images/TRXTRAINELC02_CapitalCost_NDP.png

Figure 1) Capital Cost for TRXTRAINELC02 for NDP scenario.¶

InputActivityRatio[r,t,f,m,y]¶

The equation (1) shows the Input Activity Ratio for TRXTRAINELC02, for every scenario and associated to the fuel Electricity for Public Transport.

InputActivityRatio=0.3 [Gpkm/Gvkm] (1)

OperationalLife[r,t]¶

The equation (2) shows the Operational Life for TRXTRAINELC02, for every scenario.

OperationalLife=20 Years (2)

OutputActivityRatio[r,t,f,m,y]¶

The equation (3) shows the Output Activity Ratio for TRXTRAINELC02, for NDP scenario and associated to the fuel Transport in Rail.

OutputActivityRatio=1 [Gpkm/Gvkm] (3)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 2 shows the Total Annual Max Capacity for TRXTRAINELC02, for the BAU scenario.

_images/TRXTRAINELC02_TotalAnnualMaxCapacity_BAU.png

Figure 2) Total Annual Max Capacity for TRXTRAINELC02 for the BAU scenario.¶

The figure 3 shows the Total Annual Max Capacity for TRXTRAINELC02, for the NDP scenario.

_images/TRXTRAINELC02_TotalAnnualMaxCapacity_NDP.png

Figure 3) Total Annual Max Capacity for TRXTRAINELC02 for the NDP scenario.¶

TotalAnnualMinCapacity[r,t,y]¶

The figure 2 shows the Total Annual Min Capacity for TRXTRAINELC02, for the NDP scenario.

_images/TRXTRAINELC02_TotalAnnualMinCapacity_NDP.png

Figure 2) Total Annual Min Capacity for TRXTRAINELC02 for the NDP scenario.¶

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 4 shows the Total Technology Annual Activity Lower Limit for TRXTRAINELC02, for the NDP scenario.

_images/TRXTRAINELC02_TotalTechnologyAnnualActivityLowerLimit_NDP.png

Figure 4) Total Technology Annual Activity Lower Limit for TRXTRAINELC02 for NDP scenario.¶

Minitrucks¶

Minitrucks (Grouping Technology)¶


Set codification:		Techs_Li_Freight
Description:		Rail
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
InputActivityRatio[r,t,f,m,y] (FLF_PickUpTrucks)	Gpkm/ Gvkm	1	1	1	1
OperationalLife[r,t]	Years	1	1	1	1
OutputActivityRatio[r,t,f,m,y] (Transport Demand Freigth Light)	Gpkm/ Gvkm	1.86	1.86	1.86	1.86

InputActivityRatio[r,t,f,m,y]¶

The equation (1) shows the Input Activity Ratio for Techs_Li_Freight, for every scenario and associated to the fuel FLF_PickUpTrucks.

InputActivityRatio=1 [Gpkm/Gvkm] (1)

OperationalLife[r,t]¶

The equation (2) shows the Operational Life for Techs_Li_Freight, for every scenario.

OperationalLife=1 Years (2)

OutputActivityRatio[r,t,f,m,y]¶

The equation (3) shows the Output Activity Ratio for Techs_He_Freight, for every scenario and associated to the fuel Transport Demand Freigth Light.

OutputActivityRatio=1.86 [Gpkm/Gvkm] (3)

MiniTrucks (existing)¶


Set codification:		TRYLFDSL01
Description:		Mini Trucks (existing)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
DistanceDriven[r,t,y]	km/year	17413	17413	17413	17413
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.16	0.16	0.16	0.16
EmissionActivityRatio[r,t,e,m,y] (Health)		0.01	0.01	0.01	0.01
FixedCost[r,t,y]	M$/Gvkm	236.83	236.83	236.83	236.83
InputActivityRatio[r,t,f,m,y] (Diesel for light freight transport)	PJ/ Gvkm	3.81	3.81	3.81	3.81
OperationalLife[r,t]	Years	10	10	10	10
OutputActivityRatio[r,t,f,m,y] (FLF_PickUpTrucks )	PJ/ Gvkm	1	1	1	1
ResidualCapacity[r,t,y]	Gvkm	1.5573	0.5191	0	0
TotalAnnualMaxCapacity[r,t,y]	Gvkm	1.5573	0.5191	0	0
TotalTechnologyAnnualActivityLowerLimit[r,t,y]	Gvkm	1.5573	0.5191	0	0
UnitFixedCost[r,t,y]	$	4123.9208	4123.9208	4123.9208	4123.9208

DistanceDriven[r,t,y]¶

The equation (1) shows the Distance Driven for TRYLFDSL01, for every scenario.

DistanceDriven=17413 [km/year] (1)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (2) shows the Emission Activity Ratio for TRYLFDSL01, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.16 (2)

The equation (3) shows the Emission Activity Ratio for TRYLFDSL01, for every scenario and associated to the emission Health.

EmissionActivityRatio=0.01 (3)

FixedCost[r,t,y]¶

The equation (4) shows the Fixed Cost for TRYLFDSL01, for every scenario.

FixedCost=236.83 [M$/Gvkm] (4)

InputActivityRatio[r,t,f,m,y]¶

The equation (5) shows the Input Activity Ratio for TRYLFDSL01, for every scenario and associated to the fuel Diesel for light freight transport.

InputActivityRatio=3.81 [PJ/Gvkm] (5)

OperationalLife[r,t]¶

The equation (6) shows the Operational Life for TRYLFDSL01, for every scenario.

OperationalLife=10 Years (6)

OutputActivityRatio[r,t,f,m,y]¶

The equation (7) shows the Output Activity Ratio for TRYLFDSL01, for every scenario and associated to the fuel FLF_PickUpTrucks.

OutputActivityRatio=1 [PJ/Gvkm] (7)

ResidualCapacity[r,t,y]¶

The figure 1 shows the Residual Capacity for TRYLFDSL01, for every scenario.

Figure 1) Residual Capacity for TRYLFDSL01 for every scenario.¶

TotalAnnualMaxCapacity[r,t,y]¶

The figure 2 shows the Total Annual Max Capacity for TRYLFDSL01, for every scenario.

_images/TRYLFDSL01_TotalAnnualMaxCapacity.png

Figure 2) Total Annual Max Capacity for TRYLFDSL01 for every scenario.¶

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 3 shows the Total Technology Annual Activity Lower Limit for TRYLFDSL01, for every scenario.

_images/TRYLFDSL01_TotalTechnologyAnnualActivityLowerLimit.png

Figure 3) Total Technology Annual Activity Lower Limit for TRYLFDSL01 for every scenario.¶

UnitFixedCost[r,t,y]¶

The equation (8) shows the Unit Fixed Cost for TRYLFDSL01, for every scenario.

UnitFixedCost=4123.9208 [$] (8)

Minitrucks Diesel (new)¶


Set codification:		TRYLFDSL02
Description:		Mini Trucks Diesel (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	1134.12	1134.12	1134.12	1134.12
DistanceDriven[r,t,y]	km/year	17413	17413	17413	17413
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.16	0.16	0.16	0.16
EmissionActivityRatio[r,t,e,m,y] (Health)		0.01	0.01	0.01	0.01
FixedCost[r,t,y]	M$/Gvkm	236.83	236.83	236.83	236.83
InputActivityRatio[r,t,f,m,y] (Diesel for light freight transport)	PJ/ Gvkm	3.233	3.233	3.233	3.233
OperationalLife[r,t]	Years	10	10	10	10
OutputActivityRatio[r,t,f,m,y] (FLF_PickUpTrucks )	PJ/ Gvkm	1	1	1	1
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (BAU)	Gvkm	0.6067	2.3074	3.7265	4.3763
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	0.6066	0	0	0
UnitCapitalCost[r,t,y]	$	19748.4316	19748.4316	19748.4316	19748.4316
UnitFixedCost[r,t,y]	$	4123.9208	4123.9208	4123.9208	4123.9208

CapitalCost[r,t,y]¶

The equation (1) shows the Capital Cost for TRYLFDSL02, for every scenario.

CapitalCost=1134.12 [M$/Gvkm] (1)

DistanceDriven[r,t,y]¶

The equation (2) shows the Distance Driven for TRYLFDSL02, for every scenario.

DistanceDriven=17413 [km/year] (2)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (3) shows the Emission Activity Ratio for TRYLFDSL02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.16 (3)

The equation (4) shows the Emission Activity Ratio for TRYLFDSL02, for every scenario and associated to the emission Health.

EmissionActivityRatio=0.01 (4)

FixedCost[r,t,y]¶

The equation (5) shows the Fixed Cost for TRYLFDSL02, for every scenario.

FixedCost=236.83 [M$/Gvkm] (5)

InputActivityRatio[r,t,f,m,y]¶

The equation (6) shows the Input Activity Ratio for TRYLFDSL02, for every scenario and associated to the fuel Diesel for light freight transport.

InputActivityRatio=7.61 [PJ/Gvkm] (6)

OperationalLife[r,t]¶

The equation (7) shows the Operational Life for TRYLFDSL02, for every scenario.

OperationalLife=10 Years (7)

OutputActivityRatio[r,t,f,m,y]¶

The equation (8) shows the Output Activity Ratio for TRYLFDSL02, for every scenario and associated to the fuel FLF_PickUpTrucks.

OutputActivityRatio=1 [PJ/Gvkm] (8)

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 1 shows the Total Technology Annual Activity Lower Limit for TRYLFDSL02, for the BAU scenario.

_images/TRYLFDSL02_TotalTechnologyAnnualActivityLowerLimit_BAU.png

Figure 1) Total Technology Annual Activity Lower Limit for TRYLFDSL02 for the BAU scenario.¶

The figure 2 shows the Total Technology Annual Activity Lower Limit for TRYLFDSL02, for the NDP scenario.

_images/TRYLFDSL02_TotalTechnologyAnnualActivityLowerLimit_NDP.png

Figure 2) Total Technology Annual Activity Lower Limit for TRYLFDSL02 for the NDP scenario.¶

UnitCapitalCost[r,t,y]¶

The equation (9) shows the Unit Capital Cost for TRYLFDSL02, for every scenario.

UnitCapitalCost=19748.4316 [$] (9)

UnitFixedCost[r,t,y]¶

The equation (10) shows the Unit Fixed Cost for TRYLFDSL02, for every scenario.

UnitFixedCost=4123.9208 [$] (10)

Minitrucks Electric (new)¶


Set codification:		TRYLFELE02
Description:		Mini Trucks Electric (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	4190	4072	3954	3835
DistanceDriven[r,t,y]	km/year	17413	17413	17413	17413
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.16	0.16	0.16	0.16
FixedCost[r,t,y]	M$/Gvkm	78.1539	78.1539	78.1539	78.1539
InputActivityRatio[r,t,f,m,y] (Electricity for light freight transport)	PJ/ Gvkm	0.77	0.77	0.77	0.77
OperationalLife[r,t]	Years	10	10	10	10
OutputActivityRatio[r,t,f,m,y] (FLF_PickUpTrucks )	PJ/ Gvkm	1	1	1	1
TotalAnnualMaxCapacity[r,t,y] (BAU)	Gvkm	0	99999	99999	99999
TotalAnnualMaxCapacity[r,t,y] (NDP)	Gvkm	0	0.3535	3.5208	5.246
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	0	0.3535	3.5208	5.246
UnitCapitalCost[r,t,y]	$	72960.47	70905.736	68851.002	66778.855
UnitFixedCost[r,t,y]	$	1360.8939	1360.8939	1360.8939	1360.8939

CapitalCost[r,t,y]¶

The figure 1 shows the Capital Cost for TRYLFELE02, for every scenario.

Figure 1) Capital Cost for TRYLFELE02 for every scenario.¶

DistanceDriven[r,t,y]¶

The equation (1) shows the Distance Driven for TRYLFELE02, for every scenario.

DistanceDriven=17413 [km/year] (1)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (2) shows the Emission Activity Ratio for TRYLFELE02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.16 (2)

FixedCost[r,t,y]¶

The equation (3) shows the Fixed Cost for TRYLFELE02, for every scenario.

FixedCost=78.1539 [M$/Gvkm] (3)

InputActivityRatio[r,t,f,m,y]¶

The equation (4) shows the Input Activity Ratio for TRYLFELE02, for every scenario and associated to the fuel Electricity for light freight transport.

InputActivityRatio=0.77 [PJ/Gvkm] (4)

OperationalLife[r,t]¶

The equation (5) shows the Operational Life for TRYLFELE02, for every scenario.

OperationalLife=10 Years (5)

OutputActivityRatio[r,t,f,m,y]¶

The equation (6) shows the Output Activity Ratio for TRYLFELE02, for every scenario and associated to the fuel FLF_PickUpTrucks.

OutputActivityRatio=1 [PJ/Gvkm] (6)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 2 shows the Total Annual Max Capacity for TRYLFELE02, for the BAU scenario.

_images/TRYLFELE02_TotalAnnualMaxCapacity_BAU.png

Figure 2) Total Annual Max Capacity for TRYLFELE02 for the BAU scenario.¶

The figure 3 shows the Total Annual Max Capacity for TRYLFELE02, for the NDP scenario.

_images/TRYLFELE02_TotalAnnualMaxCapacity_NDP.png

Figure 3) Total Annual Max Capacity for TRYLFELE02 for the NDP scenario.¶

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 4 shows the Total Technology Annual Activity Lower Limit for TRYLFELE02, for the NDP scenario.

_images/TRYLFELE02_TotalTechnologyAnnualActivityLowerLimit_NDP.png

Figure 4) Total Technology Annual Activity Lower Limit for TRYLFELE02 for the NDP scenario.¶

UnitCapitalCost[r,t,y]¶

The figure 5 shows the Unit Capital Cost for TRYLFELE02, for every scenario.

Figure 5) Unit Capital Cost for TRYLFELE02 for every scenario.¶

UnitFixedCost[r,t,y]¶

The equation (7) shows the Unit Fixed Cost for TRYLFELE02, for every scenario.

UnitFixedCost=1360.8939 [$] (7)

Minitrucks Gasoline (new)¶


Set codification:		TRYLFGAS02
Description:		Mini Trucks Gasoline (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	1105.71	1105.71	1105.71	1105.71
DistanceDriven[r,t,y]	km/year	17413	17413	17413	17413
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.16	0.16	0.16	0.16
FixedCost[r,t,y]	M$/Gvkm	236.83	236.83	236.83	236.83
InputActivityRatio[r,t,f,m,y] (Gasoline for light freight transport)	PJ/ Gvkm	2.48	2.48	2.48	2.48
OperationalLife[r,t]	Years	10	10	10	10
OutputActivityRatio[r,t,f,m,y] (FLF_PickUpTrucks )	PJ/ Gvkm	1	1	1	1
ResidualCapacity[r,t,y]	Gvkm	0.9075	0.3025	0	0
TotalAnnualMaxCapacity[r,t,y] (BAU)	Gvkm	1.4142	1.7928	2.1715	2.5502
TotalAnnualMaxCapacity[r,t,y] (NDP)	Gvkm	1.4142	1.4142	1.4142	1.4142
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (BAU)	Gvkm	1.4142	1.7928	2.1715	2.5502
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	1.4142	0	0	0
UnitCapitalCost[r,t,y]	$	19253.7282	19253.7282	19253.7282	19253.7282
UnitFixedCost[r,t,y]	$	4123.9208	4123.9208	4123.9208	4123.9208

CapitalCost[r,t,y]¶

The equation (1) shows the Capital Cost for TRYLFGAS02, for every scenario.

CapitalCost=1105.71 [M$/Gvkm] (1)

DistanceDriven[r,t,y]¶

The equation (2) shows the Distance Driven for TRYLFGAS02, for every scenario.

DistanceDriven=17413 [km/year] (2)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (3) shows the Emission Activity Ratio for TRYLFGAS02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.16 (3)

FixedCost[r,t,y]¶

The equation (4) shows the Fixed Cost for TRYLFGAS02, for every scenario.

FixedCost=236.83 [M$/Gvkm] (4)

InputActivityRatio[r,t,f,m,y]¶

The equation (5) shows the Input Activity Ratio for TRYLFGAS02, for every scenario and associated to the fuel Gasoline for light freight transport.

InputActivityRatio=2.48 [PJ/Gvkm] (5)

OperationalLife[r,t]¶

The equation (6) shows the Operational Life for TRYLFGAS02, for every scenario.

OperationalLife=10 Years (6)

OutputActivityRatio[r,t,f,m,y]¶

The equation (7) shows the Output Activity Ratio for TRYLFGAS02, for every scenario and associated to the fuel FLF_PickUpTrucks.

OutputActivityRatio=1 [PJ/Gvkm] (7)

ResidualCapacity[r,t,y]¶

The figure 1 shows the Residual Capacity for TRYLFGAS02, for every scenario.

Figure 1) Residual Capacity for TRYLFGAS02 for every scenario.¶

TotalAnnualMaxCapacity[r,t,y]¶

The figure 2 shows the Total Annual Max Capacity for TRYLFGAS02, for the BAU scenario.

_images/TRYLFGAS02_TotalAnnualMaxCapacity_BAU.png

Figure 2) Total Annual Max Capacity for TRYLFGAS02 for the BAU scenario.¶

The figure 3 shows the Total Annual Max Capacity for TRYLFGAS02, for the NDP scenario.

_images/TRYLFGAS02_TotalAnnualMaxCapacity_NDP.png

Figure 3) Total Annual Max Capacity for TRYLFGAS02 for the NDP scenario.¶

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 4 shows the Total Technology Annual Activity Lower Limit for TRYLFGAS02, for the BAU scenario.

_images/TRYLFGAS02_TotalTechnologyAnnualActivityLowerLimit_BAU.png

Figure 4) Total Technology Annual Activity Lower Limit for TRYLFGAS02 for the BAU scenario.¶

The figure 5 shows the Total Technology Annual Activity Lower Limit for TRYLFGAS02, for the NDP scenario.

_images/TRYLFGAS02_TotalTechnologyAnnualActivityLowerLimit_NDP.png

Figure 5) Total Technology Annual Activity Lower Limit for TRYLFGAS02 for the NDP scenario.¶

UnitCapitalCost[r,t,y]¶

The equation (8) shows the Unit Capital Cost for TRYLFGAS02, for every scenario.

UnitCapitalCost=19253.7282 [$] (8)

UnitFixedCost[r,t,y]¶

The equation (9) shows the Unit Fixed Cost for TRYLFGAS02, for every scenario.

UnitFixedCost=4123.9208 [$] (9)

Minitrucks Hybrid Electric-Diesel (new)¶


Set codification:		TRYLFHYBD02
Description:		Mini Trucks Hybrid Electric-Diesel (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	2489	2489	2489	2489
DistanceDriven[r,t,y]	km/year	17413	17413	17413	17413
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.16	0.16	0.16	0.16
FixedCost[r,t,y]	M$/Gvkm	118.415	118.415	118.415	118.415
InputActivityRatio[r,t,f,m,y] (Diesel for light freight transport)	PJ/ Gvkm	0.64	0.64	0.64	0.64
InputActivityRatio[r,t,f,m,y] (Electricity for light freight transport)	PJ/ Gvkm	0.64	0.64	0.64	0.64
OperationalLife[r,t]	Years	10	10	10	10
OutputActivityRatio[r,t,f,m,y] (FLF_PickUpTrucks )	PJ/ Gvkm	1	1	1	1
TotalAnnualMaxCapacity[r,t,y]	Gvkm	0	99999	99999	99999
UnitCapitalCost[r,t,y]	$	43340.957	43340.957	43340.957	43340.957
UnitFixedCost[r,t,y]	$	2061.9604	2061.9604	2061.9604	2061.9604

CapitalCost[r,t,y]¶

The equation (1) shows the Capital Cost for TRYLFHYBD02, for every scenario.

CapitalCost=2489 [M$/Gvkm] (1)

DistanceDriven[r,t,y]¶

The equation (2) shows the Distance Driven for TRYLFHYBD02, for every scenario.

DistanceDriven=17413 [km/year] (2)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (3) shows the Emission Activity Ratio for TRYLFHYBD02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.16 (3)

FixedCost[r,t,y]¶

The equation (4) shows the Fixed Cost for TRYLFHYBD02, for every scenario.

FixedCost=118.415 [M$/Gvkm] (4)

InputActivityRatio[r,t,f,m,y]¶

The equation (5) shows the Input Activity Ratio for TRYLFHYBD02, for every scenario and associated to the fuel Electricity for light freight transport and Diesel for light freight transport.

InputActivityRatio=0.64 [PJ/Gvkm] (5)

OperationalLife[r,t]¶

The equation (6) shows the Operational Life for TRYLFHYBD02, for every scenario.

OperationalLife=10 Years (6)

OutputActivityRatio[r,t,f,m,y]¶

The equation (7) shows the Output Activity Ratio for TRYLFHYBD02, for every scenario and associated to the fuel FLF_PickUpTrucks.

OutputActivityRatio=1 [PJ/Gvkm] (7)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 1 shows the Total Annual Max Capacity for TRYLFHYBD02, for every scenario.

_images/TRYLFHYBD02_TotalAnnualMaxCapacity.png

Figure 1) Total Annual Max Capacity for TRYLFHYBD02 for every scenario.¶

UnitCapitalCost[r,t,y]¶

The equation (8) shows the Unit Capital Cost for TRYLFHYBD02, for every scenario.

UnitCapitalCost=43340.957 [$] (8)

UnitFixedCost[r,t,y]¶

The equation (9) shows the Unit Fixed Cost for TRYLFHYBD02, for every scenario.

UnitFixedCost=2061.9604 [$] (9)

Minitrucks Electric-Gasoline (new)¶


Set codification:		TRYLFHYBG02
Description:		Mini Trucks Electric-Gasoline (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	2453	2453	2453	2453
DistanceDriven[r,t,y]	km/year	17413	17413	17413	17413
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.16	0.16	0.16	0.16
FixedCost[r,t,y]	M$/Gvkm	118.415	118.415	118.415	118.415
InputActivityRatio[r,t,f,m,y] (Electricity for light freight transport)	PJ/ Gvkm	0.8	0.8	0.8	0.8
InputActivityRatio[r,t,f,m,y] (Gasoline for light freight transport)	PJ/ Gvkm	0.8	0.8	0.8	0.8
OperationalLife[r,t]	Years	10	10	10	10
OutputActivityRatio[r,t,f,m,y] (FLF_PickUpTrucks )	PJ/ Gvkm	1	1	1	1
TotalAnnualMaxCapacity[r,t,y]	Gvkm	0	99999	99999	99999
UnitCapitalCost[r,t,y]	$	42714.089	42714.089	42714.089	42714.089
UnitFixedCost[r,t,y]	$	2061.9604	2061.9604	2061.9604	2061.9604

CapitalCost[r,t,y]¶

The equation (1) shows the Capital Cost for TRYLFHYBG02, for every scenario.

CapitalCost=2453 [M$/Gvkm] (1)

DistanceDriven[r,t,y]¶

The equation (2) shows the Distance Driven for TRYLFHYBG02, for every scenario.

DistanceDriven=17413 [km/year] (2)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (3) shows the Emission Activity Ratio for TRYLFHYBG02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.16 (3)

FixedCost[r,t,y]¶

The equation (4) shows the Fixed Cost for TRYLFHYBG02, for every scenario.

FixedCost=118.415 [M$/Gvkm] (4)

InputActivityRatio[r,t,f,m,y]¶

The equation (5) shows the Input Activity Ratio for TRYLFHYBG02, for every scenario and associated to the fuel Electricity for light freight transport and Gasoline for light freight transport.

InputActivityRatio=0.8 [PJ/Gvkm] (5)

OperationalLife[r,t]¶

The equation (6) shows the Operational Life for TRYLFHYBG02, for every scenario.

OperationalLife=10 Years (6)

OutputActivityRatio[r,t,f,m,y]¶

The equation (7) shows the Output Activity Ratio for TRYLFHYBG02, for every scenario and associated to the fuel FLF_PickUpTrucks.

OutputActivityRatio=1 [PJ/Gvkm] (7)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 1 shows the Total Annual Max Capacity for TRYLFHYBG02, for every scenario.

_images/TRYLFHYBG02_TotalAnnualMaxCapacity.png

Figure 1) Total Annual Max Capacity for TRYLFHYBG02 for every scenario.¶

UnitCapitalCost[r,t,y]¶

The equation (8) shows the Unit Capital Cost for TRYLFHYBG02, for every scenario.

UnitCapitalCost=42714.089 [$] (8)

UnitFixedCost[r,t,y]¶

The equation (9) shows the Unit Fixed Cost for TRYLFHYBG02, for every scenario.

UnitFixedCost=2061.9604 [$] (9)

Minitrucks LPG (new)¶


Set codification:		TRYLFLPG02
Description:		Mini Trucks LPG (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	1588	1588	1588	1588
DistanceDriven[r,t,y]	km/year	17413	17413	17413	17413
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.16	0.16	0.16	0.16
FixedCost[r,t,y]	M$/Gvkm	236.83	236.83	236.83	236.83
InputActivityRatio[r,t,f,m,y] (LPG for light freight transport)	PJ/ Gvkm	2.48	2.48	2.48	2.48
OperationalLife[r,t]	Years	10	10	10	10
OutputActivityRatio[r,t,f,m,y] (FLF_PickUpTrucks )	PJ/ Gvkm	1	1	1	1
TotalAnnualMaxCapacity[r,t,y] (NDP)	Gvkm	0	0.9277	1.0873	1.247
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	0	0.9277	0	0
UnitCapitalCost[r,t,y]	$	27651.844	27651.844	27651.844	27651.844
UnitFixedCost[r,t,y]	$	2061.9604	2061.9604	2061.9604	2061.9604

CapitalCost[r,t,y]¶

The equation (1) shows the Capital Cost for TRYLFLPG02, for every scenario.

CapitalCost=1588 [M$/Gvkm] (1)

DistanceDriven[r,t,y]¶

The equation (2) shows the Distance Driven for TRYLFLPG02, for every scenario.

DistanceDriven=17413 [km/year] (2)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (3) shows the Emission Activity Ratio for TRYLFLPG02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.16 (3)

FixedCost[r,t,y]¶

The equation (4) shows the Fixed Cost for TRYLFLPG02, for every scenario.

FixedCost=236.83 [M$/Gvkm] (4)

InputActivityRatio[r,t,f,m,y]¶

The equation (5) shows the Input Activity Ratio for TRYLFLPG02, for every scenario and associated to the fuel LPG for light freight transport.

InputActivityRatio=2.48 [PJ/Gvkm] (5)

OperationalLife[r,t]¶

The equation (6) shows the Operational Life for TRYLFLPG02, for every scenario.

OperationalLife=10 Years (6)

OutputActivityRatio[r,t,f,m,y]¶

The equation (7) shows the Output Activity Ratio for TRYLFLPG02, for every scenario and associated to the fuel FLF_PickUpTrucks.

OutputActivityRatio=1 [PJ/Gvkm] (7)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 1 shows the Total Annual Max Capacity for TRYLFLPG02, for the NDP scenario.

_images/TRYLFLPG02_TotalAnnualMaxCapacity.png

Figure 1) Total Annual Max Capacity for TRYLFLPG02 for the NDP scenario.¶

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 4 shows the Total Technology Annual Activity Lower Limit for TRYLFLPG02, for the NDP scenario.

_images/TRYLFLPG02_TotalTechnologyAnnualActivityLowerLimit_NDP.png

Figure 4) Total Technology Annual Activity Lower Limit for TRYLFLPG02 for the NDP scenario.¶

UnitCapitalCost[r,t,y]¶

The equation (8) shows the Unit Capital Cost for TRYLFLPG02, for every scenario.

UnitCapitalCost=27651.844 [$] (8)

UnitFixedCost[r,t,y]¶

The equation (9) shows the Unit Fixed Cost for TRYLFLPG02, for every scenario.

UnitFixedCost=4123.9208 [$] (9)

Trucks¶

Trucks (Grouping Technology)¶


Set codification:		Techs_He_Freight
Description:		Rail
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
InputActivityRatio[r,t,f,m,y] (FHF_Trucks)	Gpkm/ Gvkm	1	1	1	1
OperationalLife[r,t]	Years	1	1	1	1
OutputActivityRatio[r,t,f,m,y] (Transport Demand Freigth Heavy)	Gpkm/ Gvkm	11.16	11.16	11.16	11.16

InputActivityRatio[r,t,f,m,y]¶

The equation (1) shows the Input Activity Ratio for Techs_He_Freight, for every scenario and associated to the fuel FHF_Trucks.

InputActivityRatio=1 [Gpkm/Gvkm] (1)

OperationalLife[r,t]¶

The equation (2) shows the Operational Life for Techs_He_Freight, for every scenario.

OperationalLife=1 Years (2)

OutputActivityRatio[r,t,f,m,y]¶

The equation (3) shows the Output Activity Ratio for Techs_He_Freight, for every scenario and associated to the fuel Transport Demand Freigth Heavy.

OutputActivityRatio=11.16 [Gpkm/Gvkm] (3)

Trucks Diesel (existing)¶


Set codification:		TRYTKDSL01
Description:		Trucks Diesel (existing)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
DistanceDriven[r,t,y]	km/year	44321	44321	44321	44321
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.16	0.16	0.16	0.16
EmissionActivityRatio[r,t,e,m,y] (Health)		0.06	0.06	0.06	0.06
FixedCost[r,t,y]	M$/Gvkm	464.79	464.79	464.79	464.79
InputActivityRatio[r,t,f,m,y] (Diesel for light heavy transport)	PJ/ Gvkm	7.99	7.99	7.99	7.99
OperationalLife[r,t]	Years	10	10	10	10
OutputActivityRatio[r,t,f,m,y] (FHF_Trucks)	PJ/ Gvkm	1	1	1	1
ResidualCapacity[r,t,y]	Gvkm	1.6105	0.6637	0	0
TotalAnnualMaxCapacity[r,t,y]	Gvkm	1.6105	0.6637	0	0
TotalTechnologyAnnualActivityLowerLimit[r,t,y]	Gvkm	1.6105	0.6637	0	0
UnitFixedCost[r,t,y]	$	20599.9576	20599.9576	20599.9576	20599.9576

DistanceDriven[r,t,y]¶

The equation (1) shows the Distance Driven for TRYTKDSL01, for every scenario.

DistanceDriven=44321 [km/year] (1)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (2) shows the Emission Activity Ratio for TRYTKDSL01, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.16 (2)

The equation (3) shows the Emission Activity Ratio for TRYTKDSL01, for every scenario and associated to the emission Health.

EmissionActivityRatio=0.06 (3)

FixedCost[r,t,y]¶

The equation (4) shows the Fixed Cost for TRYTKDSL01, for every scenario.

FixedCost=464.79 [M$/Gvkm] (4)

InputActivityRatio[r,t,f,m,y]¶

The equation (5) shows the Input Activity Ratio for TRYTKDSL01, for every scenario and associated to the fuel Diesel for light heavy transport.

InputActivityRatio=7.99 [PJ/Gvkm] (5)

OperationalLife[r,t]¶

The equation (6) shows the Operational Life for TRYTKDSL01, for every scenario.

OperationalLife=10 Years (6)

OutputActivityRatio[r,t,f,m,y]¶

The equation (7) shows the Output Activity Ratio for TRYTKDSL01, for every scenario and associated to the fuel FHF_Trucks.

OutputActivityRatio=1 [PJ/Gvkm] (7)

ResidualCapacity[r,t,y]¶

The figure 1 shows the Residual Capacity for TRYTKDSL01, for every scenario.

Figure 1) Residual Capacity for TRYTKDSL01 for every scenario.¶

TotalAnnualMaxCapacity[r,t,y]¶

The figure 2 shows the Total Annual Max Capacity for TRYTKDSL01, for every scenario.

_images/TRYTKDSL01_TotalAnnualMaxCapacity.png

Figure 2) Total Annual Max Capacity for TRYTKDSL01 for every scenario.¶

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 3 shows the Total Technology Annual Activity Lower Limit for TRYTKDSL01, for every scenario.

_images/TRYTKDSL01_TotalTechnologyAnnualActivityLowerLimit.png

Figure 3) Total Technology Annual Activity Lower Limit for TRYTKDSL01 for every scenario.¶

UnitFixedCost[r,t,y]¶

The equation (8) shows the Unit Fixed Cost for TRYTKDSL01, for every scenario.

UnitFixedCost=20599.9576 [$] (8)

Trucks Diesel (new)¶


Set codification:		TRYTKDSL02
Description:		Trucks Diesel (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	2225.63	2225.63	2225.63	2225.63
DistanceDriven[r,t,y]	km/year	44321	44321	44321	44321
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.16	0.16	0.16	0.16
EmissionActivityRatio[r,t,e,m,y] (Health)		0.06	0.06	0.06	0.06
FixedCost[r,t,y]	M$/Gvkm	464.79	464.79	464.79	464.79
InputActivityRatio[r,t,f,m,y] (Diesel for light heavy transport)	PJ/ Gvkm	6.78	6.78	6.78	6.78
OperationalLife[r,t]	Years	10	10	10	10
OutputActivityRatio[r,t,f,m,y] (FHF_Trucks)	PJ/ Gvkm	1	1	1	1
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (BAU)	Gvkm	0.5368	1.9912	3.1626	3.6692
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	0.5368	0	0	0
UnitCapitalCost[r,t,y]	$	98642.1472	98642.1472	98642.1472	98642.1472
UnitFixedCost[r,t,y]	$	20599.9576	20599.9576	20599.9576	20599.9576

CapitalCost[r,t,y]¶

The equation (1) shows the Capital Cost for TRYTKDSL02, for every scenario.

CapitalCost=2225.63 [M$/Gvkm] (1)

DistanceDriven[r,t,y]¶

The equation (2) shows the Distance Driven for TRYTKDSL02, for every scenario.

DistanceDriven=44321 [km/year] (2)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (3) shows the Emission Activity Ratio for TRYTKDSL02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.16 (3)

The equation (4) shows the Emission Activity Ratio for TRYTKDSL02, for every scenario and associated to the emission Health.

EmissionActivityRatio=0.06 (4)

FixedCost[r,t,y]¶

The equation (5) shows the Fixed Cost for TRYTKDSL02, for every scenario.

FixedCost=464.79 [M$/Gvkm] (5)

InputActivityRatio[r,t,f,m,y]¶

The equation (6) shows the Input Activity Ratio for TRYTKDSL02, for every scenario and associated to the fuel Diesel for light heavy transport.

InputActivityRatio=6.78 [PJ/Gvkm] (6)

OperationalLife[r,t]¶

The equation (7) shows the Operational Life for TRYTKDSL02, for every scenario.

OperationalLife=10 Years (7)

OutputActivityRatio[r,t,f,m,y]¶

The equation (8) shows the Output Activity Ratio for TRYTKDSL02, for every scenario and associated to the fuel FHF_Trucks.

OutputActivityRatio=1 [PJ/Gvkm] (8)

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 1 shows the Total Technology Annual Activity Lower Limit for TRYTKDSL02, for the BAU scenario.

_images/TRYTKDSL02_TotalTechnologyAnnualActivityLowerLimit_BAU.png

Figure 1) Total Technology Annual Activity Lower Limit for TRYTKDSL02 for BAU scenario.¶

The figure 2 shows the Total Technology Annual Activity Lower Limit for TRYTKDSL02, for the NDP scenario.

_images/TRYTKDSL02_TotalTechnologyAnnualActivityLowerLimit_NDP.png

Figure 2) Total Technology Annual Activity Lower Limit for TRYTKDSL02 for the NDP scenario.¶

UnitCapitalCost[r,t,y]¶

The equation (9) shows the Unit Capital Cost for TRYTKDSL02, for every scenario.

UnitCapitalCost=98642.1472 [$] (9)

UnitFixedCost[r,t,y]¶

The equation (10) shows the Unit Fixed Cost for TRYTKDSL02, for every scenario.

UnitFixedCost=20599.9576 [$] (10)

Trucks Electric (new)¶


Set codification:		TRYTKELC02
Description:		Trucks Electric (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	4450	4325	4199	4074
DistanceDriven[r,t,y]	km/year	44321	44321	44321	44321
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.16	0.16	0.16	0.16
FixedCost[r,t,y]	M$/Gvkm	153.3807	153.3807	153.3807	153.3807
InputActivityRatio[r,t,f,m,y] (Electricity for heavy freight transport)	PJ/ Gvkm	2.06	2.06	2.06	2.06
OperationalLife[r,t]	Years	10	10	10	10
OutputActivityRatio[r,t,f,m,y] (FHF_Trucks)	PJ/ Gvkm	1	1	1	1
TotalAnnualMaxCapacity[r,t,y] (BAU)	Gvkm	0	0	0.09	0.18
TotalAnnualMaxCapacity[r,t,y] (NDP)	Gvkm	0	0.0002	0.1354	1.4254
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	0	0.0002	0.1354	1.4254
UnitCapitalCost[r,t,y]	$	197228.45	191688.325	186103.879	180563.754
UnitFixedCost[r,t,y]	$	6797.986	6797.986	6797.986	6797.986

CapitalCost[r,t,y]¶

The figure 1 shows the Capital Cost for TRYTKELC02, for every scenario.

Figure 1) Capital Cost for TRYTKELC02 for every scenario.¶

DistanceDriven[r,t,y]¶

The equation (1) shows the Distance Driven for TRYTKELC02, for every scenario.

DistanceDriven=44321 [km/year] (1)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (2) shows the Emission Activity Ratio for TRYTKELC02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.16 (2)

FixedCost[r,t,y]¶

The equation (3) shows the Fixed Cost for TRYTKELC02, for every scenario.

FixedCost=153.3807 [M$/Gvkm] (3)

InputActivityRatio[r,t,f,m,y]¶

The equation (4) shows the Input Activity Ratio for TRYTKELC02, for every scenario and associated to the fuel Electricity for heavy freight transport.

InputActivityRatio=2.06 [PJ/Gvkm] (4)

OperationalLife[r,t]¶

The equation (5) shows the Operational Life for TRYTKELC02, for every scenario.

OperationalLife=10 Years (5)

OutputActivityRatio[r,t,f,m,y]¶

The equation (6) shows the Output Activity Ratio for TRYTKELC02, for every scenario and associated to the fuel FHF_Trucks.

OutputActivityRatio=1 [PJ/Gvkm] (6)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 2 shows the Total Annual Max Capacity for TRYTKELC02, for the BAU scenario.

_images/TRYTKELC02_TotalAnnualMaxCapacity_BAU.png

Figure 2) Total Annual Max Capacity for TRYTKELC02 for BAU scenario.¶

The figure 3 shows the Total Annual Max Capacity for TRYTKELC02, for the NDP scenario.

_images/TRYTKELC02_TotalAnnualMaxCapacity_NDP.png

Figure 3) Total Annual Max Capacity for TRYTKELC02 for the NDP scenario.¶

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 4 shows the Total Technology Annual Activity Lower Limit for TRYTKELC02, for the NDP scenario.

_images/TRYTKELC02_TotalTechnologyAnnualActivityLowerLimit_NDP.png

Figure 4) Total Technology Annual Activity Lower Limit for TRYTKELC02 for the NDP scenario.¶

UnitCapitalCost[r,t,y]¶

The figure 5 shows the Unit Capital Cost for TRYTKELC02, for every scenario.

Figure 5) Unit Capital Cost for TRYTKELC02 for every scenario.¶

UnitFixedCost[r,t,y]¶

The equation (7) shows the Unit Fixed Cost for TRYTKELC02, for every scenario.

UnitFixedCost=6797.986 [$] (7)

Trucks Hybrid Electric-Diesel (new)¶


Set codification:		TRYTKHYBD02
Description:		Trucks Hybrid Electric-Diesel (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	3288	3288	3288	3288
DistanceDriven[r,t,y]	km/year	44321	44321	44321	44321
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.16	0.16	0.16	0.16
EmissionActivityRatio[r,t,e,m,y] (Health)		0.03	0.03	0.03	0.03
FixedCost[r,t,y]	M$/Gvkm	232.395	232.395	232.395	232.395
InputActivityRatio[r,t,f,m,y] (Diesel for light heavy transport)	PJ/ Gvkm	2.21	2.21	2.21	2.21
InputActivityRatio[r,t,f,m,y] (Electricity for heavy freight transport)	PJ/ Gvkm	2.21	2.21	2.21	2.21
OperationalLife[r,t]	Years	10	10	10	10
OutputActivityRatio[r,t,f,m,y] (FHF_Trucks)	PJ/ Gvkm	1	1	1	1
TotalAnnualMaxCapacity[r,t,y]	Gvkm	0	99999	99999	99999
UnitCapitalCost[r,t,y]	$	145727.448	145727.448	145727.448	145727.448
UnitFixedCost[r,t,y]	$	10299.9788	10299.9788	10299.9788	10299.9788

CapitalCost[r,t,y]¶

The equation (1) shows the Capital Cost for TRYTKHYBD02, for every scenario.

CapitalCost=3288 [M$/Gvkm] (1)

DistanceDriven[r,t,y]¶

The equation (2) shows the Distance Driven for TRYTKHYBD02, for every scenario.

DistanceDriven=44321 [km/year] (2)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (3) shows the Emission Activity Ratio for TRYTKHYBD02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.16 (3)

The equation (4) shows the Emission Activity Ratio for TRYTKHYBD02, for every scenario and associated to the emission Health.

EmissionActivityRatio=0.03 (4)

FixedCost[r,t,y]¶

The equation (5) shows the Fixed Cost for TRYTKHYBD02, for every scenario.

FixedCost=232.395 [M$/Gvkm] (5)

Source:: This is the source.
Description:: This is the description.

InputActivityRatio[r,t,f,m,y]¶

The equation (6) shows the Input Activity Ratio for TRYTKHYBD02, for every scenario and associated to the fuel Electricity for heavy freight transport and Diesel for light heavy transport.

InputActivityRatio=0.64 [PJ/Gvkm] (6)

OperationalLife[r,t]¶

The equation (7) shows the Operational Life for TRYTKHYBD02, for every scenario.

OperationalLife=10 Years (7)

OutputActivityRatio[r,t,f,m,y]¶

The equation (8) shows the Output Activity Ratio for TRYTKHYBD02, for every scenario and associated to the fuel FHF_Trucks.

OutputActivityRatio=1 [PJ/Gvkm] (8)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 1 shows the Total Annual Max Capacity for TRYTKHYBD02, for every scenario.

_images/TRYTKHYBD02_TotalAnnualMaxCapacity.png

Figure 1) Total Annual Max Capacity for TRYTKHYBD02 for every scenario.¶

UnitCapitalCost[r,t,y]¶

The equation (9) shows the Unit Capital Cost for TRYTKHYBD02, for every scenario.

UnitCapitalCost=145727.448 [$] (9)

UnitFixedCost[r,t,y]¶

The equation (10) shows the Unit Fixed Cost for TRYTKHYBD02, for every scenario.

UnitFixedCost=10229.9788 [$] (10)

Source:: This is the source.
Description:: This is the description.

Trucks Hydrogen (new)¶


Set codification:		TRYTKHYD02
Description:		Trucks Hydrogen (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	8202	7685	7168	6651
DistanceDriven[r,t,y]	km/year	44321	44321	44321	44321
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.16	0.16	0.16	0.16
FixedCost[r,t,y]	M$/Gvkm	153.3807	153.3807	153.3807	153.3807
InputActivityRatio[r,t,f,m,y] (Hydrogen for heavy freight transport)	PJ/ Gvkm	2.17	2.17	2.17	2.17
OperationalLife[r,t]	Years	10	10	10	10
OutputActivityRatio[r,t,f,m,y] (FHF_Trucks)	PJ/ Gvkm	1	1	1	1
TotalAnnualMaxCapacity[r,t,y]	Gvkm	0	0	0.09	0.18
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	0	0.0002	0.1354	1.4254
UnitCapitalCost[r,t,y]	$	363520.842	340606.885	317692.928	294778.971
UnitFixedCost[r,t,y]	$	6797.986	6797.986	6797.986	6797.986

CapitalCost[r,t,y]¶

The figure 1 shows the Capital Cost for TRYTKHYD02, for every scenario.

Figure 1) Capital Cost for TRYTKHYD02 for every scenario.¶

DistanceDriven[r,t,y]¶

The equation (1) shows the Distance Driven for TRYTKHYD02, for every scenario.

DistanceDriven=44321 [km/year] (1)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (2) shows the Emission Activity Ratio for , for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.16 (2)

FixedCost[r,t,y]¶

The equation (3) shows the Fixed Cost for TRYTKHYD02, for every scenario.

FixedCost=153.3807 [M$/Gvkm] (3)

InputActivityRatio[r,t,f,m,y]¶

The equation (4) shows the Input Activity Ratio for TRYTKHYD02, for every scenario and associated to the fuel Hydrogen for heavy freight transport.

InputActivityRatio=2.17 [PJ/Gvkm] (4)

OperationalLife[r,t]¶

The equation (5) shows the Operational Life for TRYTKHYD02, for every scenario.

OperationalLife=10 Years (5)

OutputActivityRatio[r,t,f,m,y]¶

The equation (6) shows the Output Activity Ratio for TRYTKHYD02, for every scenario and associated to the fuel FHF_Trucks.

OutputActivityRatio=1 [PJ/Gvkm] (6)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 2 shows the Total Annual Max Capacity for TRYTKHYD02, for every scenario.

_images/TRYTKHYD02_TotalAnnualMaxCapacity.png

Figure 2) Total Annual Max Capacity for TRYTKHYD02 for every scenario.¶

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 3 shows the Total Technology Annual Activity Lower Limit for TRYTKHYD02, for the NDP scenario.

_images/TRYTKHYD02_TotalTechnologyAnnualActivityLowerLimit_NDP.png

Figure 3) Total Technology Annual Activity Lower Limit for TRYTKHYD02 for the NDP scenario.¶

UnitCapitalCost[r,t,y]¶

The figure 4 shows the Unit Capital Cost for TRYTKHYD02, for every scenario.

Figure 4) Unit Capital Cost for TRYTKHYD02 for every scenario.¶

UnitFixedCost[r,t,y]¶

The equation (7) shows the Unit Fixed Cost for TRYTKHYD02, for every scenario.

UnitFixedCost=6797.986 [$] (7)

Trucks LPG (new)¶


Set codification:		TRYTKLPG02
Description:		Trucks LPG (new)
Set:		Technology
Parameter	Unit	2020	2030	2040	2050
CapitalCost[r,t,y]	M$/Gvkm	3116	3116	3116	3116
DistanceDriven[r,t,y]	km/year	44321	44321	44321	44321
EmissionActivityRatio[r,t,e,m,y] (Congestion)		0.16	0.16	0.16	0.16
EmissionActivityRatio[r,t,e,m,y] (Health)		0.03	0.03	0.03	0.03
FixedCost[r,t,y]	M$/Gvkm	387.84	387.84	387.84	387.84
InputActivityRatio[r,t,f,m,y] (LPG for heavy freight transport)	PJ/ Gvkm	8.84	8.84	8.84	8.84
OperationalLife[r,t]	Years	10	10	10	10
OutputActivityRatio[r,t,f,m,y] (FHF_Trucks)	PJ/ Gvkm	1	1	1	1
TotalAnnualMaxCapacity[r,t,y] (BAU)	Gvkm	0	99999	99999	99999
TotalAnnualMaxCapacity[r,t,y] (NDP)	Gvkm	0	0.531	0.6325	0.7338
TotalTechnologyAnnualActivityLowerLimit[r,t,y] (NDP)	Gvkm	0	0.531	0	0
UnitCapitalCost[r,t,y]	$	138104.236	138104.236	138104.236	138104.236
UnitFixedCost[r,t,y]	$	17189.4566	17189.4566	17189.4566	17189.4566

CapitalCost[r,t,y]¶

The equation (1) shows the Capital Cost for TRYTKLPG02, for every scenario.

CapitalCost=3116 [M$/Gvkm] (1)

DistanceDriven[r,t,y]¶

The equation (2) shows the Distance Driven for TRYTKLPG02, for every scenario.

DistanceDriven=44321 [km/year] (2)

EmissionActivityRatio[r,t,e,m,y]¶

The equation (3) shows the Emission Activity Ratio for TRYTKLPG02, for every scenario and associated to the emission Congestion.

EmissionActivityRatio=0.16 (3)

The equation (4) shows the Emission Activity Ratio for TRYTKLPG02, for every scenario and associated to the emission Health.

EmissionActivityRatio=0.03 (4)

FixedCost[r,t,y]¶

The equation (5) shows the Fixed Cost for TRYTKLPG02, for every scenario.

FixedCost=387.84 [M$/Gvkm] (5)

InputActivityRatio[r,t,f,m,y]¶

The equation (6) shows the Input Activity Ratio for TRYTKLPG02, for every scenario and associated to the fuel LPG for heavy freight transport.

InputActivityRatio=8.84 [PJ/Gvkm] (6)

OperationalLife[r,t]¶

The equation (7) shows the Operational Life for TRYTKLPG02, for every scenario.

OperationalLife=10 Years (7)

OutputActivityRatio[r,t,f,m,y]¶

The equation (8) shows the Output Activity Ratio for TRYTKLPG02, for every scenario and associated to the fuel FHF_Trucks.

OutputActivityRatio=1 [PJ/Gvkm] (8)

TotalAnnualMaxCapacity[r,t,y]¶

The figure 1 shows the Total Annual Max Capacity for TRYTKLPG02, for the BAU scenario.

_images/TRYTKLPG02_TotalAnnualMaxCapacity_BAU.png

Figure 1) Total Annual Max Capacity for TRYTKLPG02 for the BAU scenario.¶

The figure 2 shows the Total Annual Max Capacity for TRYTKLPG02, for the NDP scenario.

_images/TRYTKLPG02_TotalAnnualMaxCapacity_NDP.png

Figure 2) Total Annual Max Capacity for TRYTKLPG02 for the NDP scenario.¶

TotalTechnologyAnnualActivityLowerLimit[r,t,y]¶

The figure 3 shows the Total Technology Annual Activity Lower Limit for TRYTKLPG02, for the NDP scenario.

_images/TRYTKLPG02_TotalTechnologyAnnualActivityLowerLimit_NDP.png

Figure 3) Total Technology Annual Activity Lower Limit for TRYTKLPG02 for the NDP scenario.¶

UnitCapitalCost[r,t,y]¶

The equation (9) shows the Unit Capital Cost for TRYTKLPG02, for every scenario.

UnitCapitalCost=138104.236 [$] (9)

UnitFixedCost[r,t,y]¶

The equation (10) shows the Unit Fixed Cost for TRYTKLPG02, for every scenario.

UnitFixedCost=17189.4566 [$] (10)