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Indicator Assessment
Definition: Cleaner and alternative fuels are measured in absolute and relative forms: i) as a percentage (relative) and ii) amount (absolute) of biofuels, gaseous fuels (CNG/LPG, hydrogen) and biodiesel in the total combined final energy consumption of gasoline, diesel and biofuels for transport.
The indicator is available for the following transport modes and vehicle technologies:
Sector/Mode |
Vehicle Technology/Fuels |
* Medium trucks * Heavy-duty (long-haul trucks *Rail freight * National waterborne (Inland plus coastal) * Int'l shipping |
Internal combustion engine: * Gasoline * Diesel * LPG-CNG * Ethanol * Biodiesel Hybrid- Electric ICE (same fuels) Fuel-cell vehicle * Hydrogen With feedstock differentiation for biofuels and hydrogen) |
Model used: IEA/SMP
Ownership: World Business Council for Sustainable Development
Temporal coverage: 1990 - 2050
Geographical coverage: OECD Europe: Austria, Belgium, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Luxembourg, the Netherlands, Norway, Portugal, Spain, Sweden, Switzerland, Turkey, the United Kingdom; OECD North America: USA, Canada, Mexico; Former Soviet Union: Armenia, Azerbaijan, Belarus, Estonia, Georgia, Kazakhstan, Kyrgyzstan, Latvia, Lithuania, Republic of Moldova, Russian Federation, Tajikistan, Turkmenistan, Ukraine, Uzbekistan; Eastern Europe: Albania, Bosnia and Herzegovina, Bulgaria, Croatia, the Former Yugoslav Republic of Macedonia, Poland, Romania, Slovakia, Slovenia, Serbia and Montenegro; India; China
The indicator is measured in bil litres gasoline equivalence, as well as exajoules are used for the indication.
The large number of non binding policy instruments have been developed under fora such as Environment for Europe process, the European Council of Ministers of Transport (ECMT) and the UNECE/WTO Transport, Health and Environment Pan-European Programme (The PEP). The PEP was set up to address the key challenges to achieve more sustainable transport patterns and a closer integration of environmental and health concerns into transport policies.
The White Paper on the Common Transport Policy (CTP) "European Transport Policy for 2010: Time to Decide" is a headlight policy which covers EU objections relatively to use of alternative and cleaner fuels.
The main tasks provided in EU legislative documents provide more important role of biofuels as well as gaseous and alternative fuels.
Reducing greenhouse gas emissions and, therefore, to increase role of biofuels in the transport sector is one of the priority actions of the "The European Six Environmental action programme".
EECCA Environmental Strategy recognizes the need to incorporate environmental concerns into transport policies and sets this action as one of the Strategy objectives.
No related policy documents have been specified
The projections of share of alternative and cleaner fuels in total transort fuel mix are taken from the IEA/WBCSD Sustainable Mobility Project (SMP) model. To cover pan-European region these data were extracted from the publicly available IEA/SMP model spreadsheet (version 1.6) for the following geographical areas: OECD Europe, Eastern Europe, and Former Soviet Union region.
Outlook for the modal split share for use biofuels and cleaner fuels (for all types of vehicles presented in the section definition) was extracted from the same model.
The IEA/SMP Transport Spreadsheet Model is designed to handle all transport modes and most vehicle types. It produces projections of vehicle stocks, travel, energy use and other indicators through 2050 for a reference case and for various policy cases and scenarios. It is designed to have some technology-oriented detail and to allow fairly detailed bottom-up modeling. The SMP spreadsheet model 1.60 is the most recent version and is available for a more detailed inspection (and use, though no user guide has been prepared and there are no plans, at this time, of providing on-going usersupport for the model. A very basic outline of how to use the model is provided in the first sheet of the model spreadsheet).
The model does not include any representation of economic relationships (e.g., elasticities) nor does it track costs. Rather, it is an "accounting" model, anchored by the "ASIF" identity:
Various indicators are tracked and characterized by coefficients per unit travel, per vehicle or per unit fuel use as appropriate.
The modes, technologies, fuels, regions and basic variables are included in the spreadsheet model. Not all technologies or variables are covered for all modes. Apart from energy use, the model tracks emissions of CO2, and CO2-equivalent GHG emissions (from vehicles as well as upstream), PM, NOx, HC, CO and Pb. Projections of safety (fatalities and injuries) are also incorporated.
The most detailed segment of the model covers light-duty vehicles. The flow chart on the page 4 of the Model Documentation provides an overview of the key linkages in the light-duty vehicle section of the model. For other passenger modes (such as buses, 2-wheelers), the approach is similar, however there is no stock model. Stocks are projected directly; vehicle sales needed to achieve these stocks is not currently tracked.
Overview of the projections, regions and viraibales used by the IEA/SMP transport spreadsheet model is peresented in the table below:
Sectors / Modes | Vehicle Technologies/ Fuels |
Regions | Variables |
Light-duty vehicles (cars, minivans, SUVs) * Medium trucks * Heavy-duty (long-haul) trucks * Mini-buses ("paratransit") * Large buses * 2-3 wheelers * Aviation (Domestic + Int'l) * Rail freight * Rail passenger * National waterborne (Inland plus coastal) * Int'l shipping |
* Internal combustion engine: * Gasoline * Diesel * LPG-CNG * Ethanol * Biodiesel * Hybrid- Electric ICE (same fuels) * Fuel-cell vehicle * Hydrogen (With feedstock differentiation for biofuels and hydrogen) |
* OECD Europe * OECD North America * OECD Pacific (Japan, Korea, Australia, NZ) * Former Soviet Union (FSU) * Eastern Europe * Middle East * China * India * Other Asia * Latin America * Africa |
Passenger kilometres of travel * Vehicle sales (LDVs only) * Vehicle stocks * Average vehicle fuelefficiency * Vehicle travel * Fuel use * CO2 emissions * Pollutant emissions (PM, NOx, HC, CO, Pb) * Safety (road fatalities and injuries) |
The reference case projects one possible set of future conditions, based on recent trends in various important indicators and other variables. Adjustments are made for expected deviations from recent trends due to factors such as existing policies, population projections, income projections and expected availability of new technologies. Expectations for other future changes in trends, such as saturations in vehicle ownership, are also incorporated.
In general, no major new policies are assumed to be implemented beyond those already implemented in 2003. An exception to this is where there is clear evidence of what might be called "policy trajectories" - future policy actions that are either explicit or implicit in other trends. For example, a clear trend is emerging in the developing world to adopt vehicle emissions standards of a form similar to those already implemented in OECD countries. It is assumed that this "policy trajectory" will continue in the future. In contrast, no such policy trajectory is evident for reduced light-duty vehicle (LDV) fuel consumption; we therefore only incorporate existing fuel consumption programmes through the year they currently end; we assume a return after that date to historical (non-policy-driven) trends in fuel consumption.
In general, the model tried to avoid introducing significant changes in trends after 2030. We run the trends assumed to exist in 2030 out to 2050 in order to see the net effects and directions in that latter year of actions and events that often occurred years earlier.
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No methodology for gap filling has been specified. Probably this info has been added together with indicator calculation.
No methodology references available.
All data should be based on movements on national territory, regardless of the nationality of the vehicle. It is unknown what the assumptions are regarding movement of the transport when the assigned regions.
The model does not include any representation of economic relationships (e.g.,
elasticities) nor does it track costs. The IEA has a cost-optimization model capable of this, the ETP model, but this model was not employed in the SMP's work due to its lack of transparency and its complexity.
The table below provides a simplified picture of what types of variables and the level of
detail modelled for each major transport mode in the IEA/SMP transport spreadsheet model. As can be seen in the next table, there is a range of coverage by mode, as well as variations in the quality of the data available (indicated by x or i). In general, there is better data available for light-duty vehicles than for other modes, though for non-OECD regions most data is quite poor, except for aggregate estimates of transport energy consumption. New vehicle characteristics are only tracked for light-duty vehicles; existing stock is used as the basic vehicle indicator for all other modes.
The reference case includes the modes and variables identified in the table below:
|
Auto |
Air |
Truck |
Frt |
Pass |
Buss |
Mini- |
2-3 |
Water |
OECD regions |
|
|
|
|
|
|
|
|
|
Activity (passenger |
* |
* |
* |
* |
* |
* |
i |
i |
|
New vehicle |
* |
|
|
|
|
|
|
|
|
Stock-average |
* |
* |
* |
* |
* |
* |
i |
i |
|
Calculation of |
* |
* |
* |
* |
* |
i |
i |
i |
|
Non-OECD regions |
|
|
|
|
|
|
|
|
|
Activity (passenger |
i |
* |
i |
* |
* |
i |
i |
i |
|
New vehicle |
i |
|
|
|
|
|
|
|
|
Stock-average |
i |
i |
i |
i |
i |
i |
i |
i |
|
Calculation of |
i |
* |
i |
* |
* |
i |
i |
i |
* |
Note: * = have data of fair to good reliability; i = have data but incomplete or of poor reliability; blank = have nothing or have not attempted to project. Note that data of fair reliability is available for energy use across all road vehicles in non-OECD countries, but breaking this out into various road modes (cars, trucks, buses, 2- wheelers) is difficult and relatively unreliable.
For more information click here
No uncertainty has been specified
For references, please go to https://www.eea.europa.eu/data-and-maps/indicators/use-of-cleaner-and-alternative/use-of-cleaner-and-alternative or scan the QR code.
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