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Including road transport in the EU ETS (European Emissions Trading System): A model-based analysis of the German electricity and transport sector

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  • Heinrichs, Heidi
  • Jochem, Patrick
  • Fichtner, Wolf

Abstract

The EU ETS (European Emissions Trading System) is being enlarged stepwise to cover an increasing amount of overall European CO2 emissions. However, one of the largest and still growing CO2-emitting sector, the transport sector, and particularly road transport, has not yet been included in the EU ETS. Against this background, the question arises whether integrating the road transport sector in the EU ETS represents a cost-efficient CO2 reduction strategy. For this reason, the consequences of this integration are analysed with a focus on Germany. To do so we utilise a model-based approach. In order to account for both sectors simultaneously, we couple an electricity system model, PERSEUS-EU (Package for Emission Reduction Strategies in Energy Use and Supply in Europe), with a road transport model, COMIT (CO2 emission Mitigation in the Transport sector). The time horizon we consider ranges from 2010 to 2030. In our analysis, we differentiate our scenarios according to commodity prices, share of renewable energies in electricity generation and share of electric vehicles. The results show that the enlargement of the EU ETS to include road transport leads to a reduction of overall CO2 emissions, but equally reduces the mitigation efforts in the road transport sector. Simultaneously, the German electricity sector is mainly influenced according to the certificate demand or supply of the road transport sector.

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  • Heinrichs, Heidi & Jochem, Patrick & Fichtner, Wolf, 2014. "Including road transport in the EU ETS (European Emissions Trading System): A model-based analysis of the German electricity and transport sector," Energy, Elsevier, vol. 69(C), pages 708-720.
    • Handle: RePEc:eee:energy:v:69:y:2014:i:c:p:708-720
    DOI: 10.1016/j.energy.2014.03.061
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    as
    1. Bartocci, Anna & Pisani, Massimiliano, 2013. "“Green” fuel tax on private transportation services and subsidies to electric energy. A model-based assessment for the main European countries," Energy Economics, Elsevier, vol. 40(S1), pages 32-57.
    2. Martinsen, Dag & Funk, Carolin & Linssen, Jochen, 2010. "Biomass for transportation fuels--A cost-effective option for the German energy supply?," Energy Policy, Elsevier, vol. 38(1), pages 128-140, January.
    3. Flachsland, Christian & Brunner, Steffen & Edenhofer, Ottmar & Creutzig, Felix, 2011. "Climate policies for road transport revisited (II): Closing the policy gap with cap-and-trade," Energy Policy, Elsevier, vol. 39(4), pages 2100-2110, April.
    4. Marianne Hatzopoulou & Jiang Hao & Eric Miller, 2011. "Simulating the impacts of household travel on greenhouse gas emissions, urban air quality, and population exposure," Transportation, Springer, vol. 38(6), pages 871-887, November.
    5. repec:zbw:rwirep:0032 is not listed on IDEAS
    6. Martin Achtnicht, 2012. "German car buyers’ willingness to pay to reduce CO 2 emissions," Climatic Change, Springer, vol. 113(3), pages 679-697, August.
    7. Mueller, Michel G. & de Haan, Peter, 2009. "How much do incentives affect car purchase? Agent-based microsimulation of consumer choice of new cars--Part I: Model structure, simulation of bounded rationality, and model validation," Energy Policy, Elsevier, vol. 37(3), pages 1072-1082, March.
    8. Frondel, Manuel & Peters, Jörg & Vance, Colin, 2007. "Identifying the Rebound: Theoretical Issues and Empirical Evidence from a German Household Panel," RWI Discussion Papers 57, RWI - Leibniz-Institut für Wirtschaftsforschung.
    9. Zhang, Qi & Mclellan, Benjamin C. & Tezuka, Tetsuo & Ishihara, Keiichi N., 2013. "A methodology for economic and environmental analysis of electric vehicles with different operational conditions," Energy, Elsevier, vol. 61(C), pages 118-127.
    10. Brand, Christian & Anable, Jillian & Tran, Martino, 2013. "Accelerating the transformation to a low carbon passenger transport system: The role of car purchase taxes, feebates, road taxes and scrappage incentives in the UK," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 132-148.
    11. Kiviluoma, Juha & Meibom, Peter, 2011. "Methodology for modelling plug-in electric vehicles in the power system and cost estimates for a system with either smart or dumb electric vehicles," Energy, Elsevier, vol. 36(3), pages 1758-1767.
    12. Raux, Charles & Marlot, Grégoire, 2005. "A system of tradable CO2 permits applied to fuel consumption by motorists," Transport Policy, Elsevier, vol. 12(3), pages 255-265, May.
    13. Cormio, C. & Dicorato, M. & Minoia, A. & Trovato, M., 2003. "A regional energy planning methodology including renewable energy sources and environmental constraints," Renewable and Sustainable Energy Reviews, Elsevier, vol. 7(2), pages 99-130, April.
    14. Nagl, Stephan & Fürsch, Michaela & Paulus, Moritz & Richter, Jan & Trüby, Johannes & Lindenberger, Dietmar, 2011. "Energy policy scenarios to reach challenging climate protection targets in the German electricity sector until 2050," Utilities Policy, Elsevier, vol. 19(3), pages 185-192.
    15. Manuel Frondel & Jorg Peters & Colin Vance, 2008. "Identifying the Rebound: Evidence from a German Household Panel," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 145-164.
    16. Hedegaard, Karsten & Ravn, Hans & Juul, Nina & Meibom, Peter, 2012. "Effects of electric vehicles on power systems in Northern Europe," Energy, Elsevier, vol. 48(1), pages 356-368.
    17. Kannan, Ramachandran, 2011. "The development and application of a temporal MARKAL energy system model using flexible time slicing," Applied Energy, Elsevier, vol. 88(6), pages 2261-2272, June.
    18. Metz, Michael & Doetsch, Christian, 2012. "Electric vehicles as flexible loads – A simulation approach using empirical mobility data," Energy, Elsevier, vol. 48(1), pages 369-374.
    19. de Haan, Peter & Mueller, Michel G. & Scholz, Roland W., 2009. "How much do incentives affect car purchase? Agent-based microsimulation of consumer choice of new cars--Part II: Forecasting effects of feebates based on energy-efficiency," Energy Policy, Elsevier, vol. 37(3), pages 1083-1094, March.
    20. Keppo, Ilkka & Strubegger, Manfred, 2010. "Short term decisions for long term problems – The effect of foresight on model based energy systems analysis," Energy, Elsevier, vol. 35(5), pages 2033-2042.
    21. Möst, Dominik & Fichtner, Wolf, 2010. "Renewable energy sources in European energy supply and interactions with emission trading," Energy Policy, Elsevier, vol. 38(6), pages 2898-2910, June.
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