[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v262y2020ics0306261919320525.html
   My bibliography  Save this article

The role of electricity in decarbonizing European road transport – Development and assessment of an integrated multi-sectoral model

Author

Listed:
  • Helgeson, Broghan
  • Peter, Jakob
Abstract
Despite regulation efforts, CO2 emissions from European road transport have continued to rise. Increased use of electricity offers a promising decarbonization option, both to fuel electric vehicles and run power-to-x systems producing synthetic fuels. To understand the economic implications of increased coupling of the road transport and electricity sectors, an integrated multi-sectoral partial-equilibrium investment and dispatch model is developed for the European electricity and road transport sectors, linked by an energy transformation module to endogenously account for, e.g., increasing electricity consumption and flexibility provision from electric vehicles and power-to-x systems. The model is applied to analyze the effects of sector-specific CO2 reduction targets on the vehicle, electricity and power-to-x technology mix as well as trade flows of power-to-x fuels in European countries from 2020 to 2050. The results show that, by 2050, the fuel shares of electricity and power-to-x fuels in the European road transport sector reach 37% and 27%, respectively, creating an additional electricity demand of 1200 TWh in Europe. To assess the added value of the integrated modeling approach, an additional analysis is performed in which all endogenous ties between sectors are removed. The results show that by decoupling the two sectors, the total system costs may be significantly overestimated and the production costs of power-to-x fuels may be inaccurately approximated, which may affect the merit order of decarbonization options.

Suggested Citation

  • Helgeson, Broghan & Peter, Jakob, 2020. "The role of electricity in decarbonizing European road transport – Development and assessment of an integrated multi-sectoral model," Applied Energy, Elsevier, vol. 262(C).
    • Handle: RePEc:eee:appene:v:262:y:2020:i:c:s0306261919320525
    DOI: 10.1016/j.apenergy.2019.114365
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261919320525
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2019.114365?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Kelly, Jarod C. & MacDonald, Jason S. & Keoleian, Gregory A., 2012. "Time-dependent plug-in hybrid electric vehicle charging based on national driving patterns and demographics," Applied Energy, Elsevier, vol. 94(C), pages 395-405.
    2. Nahmmacher, Paul & Schmid, Eva & Hirth, Lion & Knopf, Brigitte, 2016. "Carpe diem: A novel approach to select representative days for long-term power system modeling," Energy, Elsevier, vol. 112(C), pages 430-442.
    3. Peter, Jakob & Wagner, Johannes, 2018. "Optimal Allocation of Variable Renewable Energy Considering Contributions to Security of Supply," EWI Working Papers 2018-2, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    4. Colbertaldo, Paolo & Guandalini, Giulio & Campanari, Stefano, 2018. "Modelling the integrated power and transport energy system: The role of power-to-gas and hydrogen in long-term scenarios for Italy," Energy, Elsevier, vol. 154(C), pages 592-601.
    5. Yang, Christopher & Ogden, Joan M, 2007. "Determining the lowest-cost hydrogen delivery mode," Institute of Transportation Studies, Working Paper Series qt1804p4vw, Institute of Transportation Studies, UC Davis.
    6. Yang, Christopher & Ogden, Joan M, 2007. "Determining the lowest-cost hydrogen delivery mode," Institute of Transportation Studies, Working Paper Series qt7p3500g2, Institute of Transportation Studies, UC Davis.
    7. Gambhir, Ajay & Tse, Lawrence K.C. & Tong, Danlu & Martinez-Botas, Ricardo, 2015. "Reducing China’s road transport sector CO2 emissions to 2050: Technologies, costs and decomposition analysis," Applied Energy, Elsevier, vol. 157(C), pages 905-917.
    8. Richter, Jan, 2011. "DIMENSION - A Dispatch and Investment Model for European Electricity Markets," EWI Working Papers 2011-3, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    9. Pasaoglu, Guzay & Harrison, Gillian & Jones, Lee & Hill, Andrew & Beaudet, Alexandre & Thiel, Christian, 2016. "A system dynamics based market agent model simulating future powertrain technology transition: Scenarios in the EU light duty vehicle road transport sector," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 133-146.
    10. Thiel, Christian & Nijs, Wouter & Simoes, Sofia & Schmidt, Johannes & van Zyl, Arnold & Schmid, Erwin, 2016. "The impact of the EU car CO2 regulation on the energy system and the role of electro-mobility to achieve transport decarbonisation," Energy Policy, Elsevier, vol. 96(C), pages 153-166.
    11. Brown, T. & Schlachtberger, D. & Kies, A. & Schramm, S. & Greiner, M., 2018. "Synergies of sector coupling and transmission reinforcement in a cost-optimised, highly renewable European energy system," Energy, Elsevier, vol. 160(C), pages 720-739.
    12. Brynolf, Selma & Taljegard, Maria & Grahn, Maria & Hansson, Julia, 2018. "Electrofuels for the transport sector: A review of production costs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 1887-1905.
    13. Fürsch, Michaela & Hagspiel, Simeon & Jägemann, Cosima & Nagl, Stephan & Lindenberger, Dietmar & Tröster, Eckehard, 2013. "The role of grid extensions in a cost-efficient transformation of the European electricity system until 2050," Applied Energy, Elsevier, vol. 104(C), pages 642-652.
    14. Becker, W.L. & Braun, R.J. & Penev, M. & Melaina, M., 2012. "Production of Fischer–Tropsch liquid fuels from high temperature solid oxide co-electrolysis units," Energy, Elsevier, vol. 47(1), pages 99-115.
    15. Krishnan, Venkat & Gonzalez-Marciaga, Lizbeth & McCalley, James, 2014. "A planning model to assess hydrogen as an alternative fuel for national light-duty vehicle portfolio," Energy, Elsevier, vol. 73(C), pages 943-957.
    16. Jägemann, Cosima & Fürsch, Michaela & Hagspiel, Simeon & Nagl, Stephan, 2013. "Decarbonizing Europe's power sector by 2050 — Analyzing the economic implications of alternative decarbonization pathways," Energy Economics, Elsevier, vol. 40(C), pages 622-636.
    17. van der Zwaan, Bob & Keppo, Ilkka & Johnsson, Filip, 2013. "How to decarbonize the transport sector?," Energy Policy, Elsevier, vol. 61(C), pages 562-573.
    18. Knaut, Andreas & Tode, Christian & Lindenberger, Dietmar & Malischek, Raimund & Paulus, Simon & Wagner, Johannes, 2016. "The reference forecast of the German energy transition—An outlook on electricity markets," Energy Policy, Elsevier, vol. 92(C), pages 477-491.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Peter, Jakob, 2019. "How does climate change affect electricity system planning and optimal allocation of variable renewable energy?," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    2. Stöckl, Fabian & Schill, Wolf-Peter & Zerrahn, Alexander, 2021. "Optimal supply chains and power sector benefits of green hydrogen," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 11.
    3. Clemens Gerbaulet & Casimir Lorenz, 2017. "dynELMOD: A Dynamic Investment and Dispatch Model for the Future European Electricity Market," Data Documentation 88, DIW Berlin, German Institute for Economic Research.
    4. Gerbaulet, Clemens & von Hirschhausen, Christian & Kemfert, Claudia & Lorenz, Casimir & Oei, Pao-Yu, 2019. "European electricity sector decarbonization under different levels of foresight," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 141, pages 973-987.
    5. Peter, Jakob & Wagner, Johannes, 2018. "Optimal Allocation of Variable Renewable Energy Considering Contributions to Security of Supply," EWI Working Papers 2018-2, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    6. Hoffmann, Maximilian & Priesmann, Jan & Nolting, Lars & Praktiknjo, Aaron & Kotzur, Leander & Stolten, Detlef, 2021. "Typical periods or typical time steps? A multi-model analysis to determine the optimal temporal aggregation for energy system models," Applied Energy, Elsevier, vol. 304(C).
    7. Bertsch, Joachim & Brown, Tom & Hagspiel, Simeon & Just, Lisa, 2016. "The relevance of grid expansion under zonal markets," EWI Working Papers 2015-7, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    8. Reichenberg, Lina & Hedenus, Fredrik & Odenberger, Mikael & Johnsson, Filip, 2018. "The marginal system LCOE of variable renewables – Evaluating high penetration levels of wind and solar in Europe," Energy, Elsevier, vol. 152(C), pages 914-924.
    9. Fürsch, Michaela & Lindenberger, Dietmar, 2013. "Promotion of Electricity from Renewable Energy in Europe post 2020 - the Economic Benefits of Cooperation," EWI Working Papers 2013-16, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    10. Jägemann, Cosima, 2014. "A note on the inefficiency of technology- and region-specific renewable energy support - The German case," EWI Working Papers 2014-5, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    11. Brynolf, Selma & Taljegard, Maria & Grahn, Maria & Hansson, Julia, 2018. "Electrofuels for the transport sector: A review of production costs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 1887-1905.
    12. Bertsch, Joachim & Hagspiel, Simeon & Just, Lisa, 2016. "Congestion management in power systems - Long-term modeling framework and large-scale application," EWI Working Papers 2015-3, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    13. Bertsch, Joachim & Growitsch, Christian & Lorenczik, Stefan & Nagl, Stephan, 2016. "Flexibility in Europe's power sector — An additional requirement or an automatic complement?," Energy Economics, Elsevier, vol. 53(C), pages 118-131.
    14. Jägemann, Cosima & Hagspiel, Simeon & Lindenberger, Dietmar, 2013. "The Economic Inefficiency of Grid Parity: The Case of German Photovoltaics," EWI Working Papers 2013-19, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    15. Hoffmann, Maximilian & Kotzur, Leander & Stolten, Detlef, 2022. "The Pareto-optimal temporal aggregation of energy system models," Applied Energy, Elsevier, vol. 315(C).
    16. van Leeuwen, Charlotte & Mulder, Machiel, 2018. "Power-to-gas in electricity markets dominated by renewables," Applied Energy, Elsevier, vol. 232(C), pages 258-272.
    17. Zerrahn, Alexander & Schill, Wolf-Peter, 2017. "Long-run power storage requirements for high shares of renewables: review and a new model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1518-1534.
    18. Colbertaldo, P. & Cerniauskas, S. & Grube, T. & Robinius, M. & Stolten, D. & Campanari, S., 2020. "Clean mobility infrastructure and sector integration in long-term energy scenarios: The case of Italy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    19. Joachim Bertsch & Simeon Hagspiel & Lisa Just, 2016. "Congestion management in power systems," Journal of Regulatory Economics, Springer, vol. 50(3), pages 290-327, December.
    20. Davis, M. & Okunlola, A. & Di Lullo, G. & Giwa, T. & Kumar, A., 2023. "Greenhouse gas reduction potential and cost-effectiveness of economy-wide hydrogen-natural gas blending for energy end uses," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).

    More about this item

    Keywords

    Energy system modeling; Electricity sector; Road transport; Power-to-x; Synthetic fuels; Sector coupling; Decarbonization;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • N70 - Economic History - - Economic History: Transport, International and Domestic Trade, Energy, and Other Services - - - General, International, or Comparative
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:262:y:2020:i:c:s0306261919320525. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.