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Opportunities and Challenges of Flexible Electricity-Based Fuel Production for the European Power System

Author

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  • Maximilian Borning

    (Institute of High Voltage Equipment and Grids, Digitalization and Energy Economics, RWTH Aachen University, 52056 Aachen, Germany)

  • Larissa Doré

    (Chair of Operations Management, School of Business and Economics, RWTH Aachen University, 52072 Aachen, Germany)

  • Michael Wolff

    (Chair of Operations Management, School of Business and Economics, RWTH Aachen University, 52072 Aachen, Germany)

  • Julian Walter

    (Institute of High Voltage Equipment and Grids, Digitalization and Energy Economics, RWTH Aachen University, 52056 Aachen, Germany)

  • Tristan Becker

    (Chair of Operations Management, School of Business and Economics, RWTH Aachen University, 52072 Aachen, Germany)

  • Grit Walther

    (Chair of Operations Management, School of Business and Economics, RWTH Aachen University, 52072 Aachen, Germany)

  • Albert Moser

    (Institute of High Voltage Equipment and Grids, Digitalization and Energy Economics, RWTH Aachen University, 52056 Aachen, Germany)

Abstract

To mitigate global warming, the European Union aims at climate neutrality by 2050. In order to reach this, the transportation sector has to contribute especially, which accounts for about a quarter of the European greenhouse gas emissions. Herein, electricity-based fuels are a promising approach for reducing emissions. However, a large-scale deployment of electricity-based fuels has a significant impact on the power system due to high electricity demand and the requirement to use renewable energy sources in order to be sustainable. At the same time, this fuel production could offer additional flexibility for the power system. This article investigates the opportunities and challenges of electricity-based fuels and flexible electricity-based fuel production for the European power system. In a literature analysis, the pivotal role of electricity-based fuels for climate neutrality is confirmed. To analyze the impact of flexible fuel production, European power market simulations for the year 2035 are conducted. Results indicate that flexibilization leads to an increased integration of electricity based on renewable energy sources as well as reductions in both carbon dioxide emissions and total operational costs of the power system. However, very high flexibility levels also benefit high-emission power plants and may even lead to increased emissions.

Suggested Citation

  • Maximilian Borning & Larissa Doré & Michael Wolff & Julian Walter & Tristan Becker & Grit Walther & Albert Moser, 2020. "Opportunities and Challenges of Flexible Electricity-Based Fuel Production for the European Power System," Sustainability, MDPI, vol. 12(23), pages 1-26, November.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:23:p:9844-:d:450749
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    References listed on IDEAS

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    1. Zalzar, Shaghayegh & Bompard, Ettore & Purvins, Arturs & Masera, Marcelo, 2020. "The impacts of an integrated European adjustment market for electricity under high share of renewables," Energy Policy, Elsevier, vol. 136(C).
    2. Ambrosius, Mirjam & Grimm, Veronika & Sölch, Christian & Zöttl, Gregor, 2018. "Investment incentives for flexible demand options under different market designs," Energy Policy, Elsevier, vol. 118(C), pages 372-389.
    3. Aliabadi, Danial Esmaeili & Kaya, Murat & Şahin, Güvenç, 2017. "An agent-based simulation of power generation company behavior in electricity markets under different market-clearing mechanisms," Energy Policy, Elsevier, vol. 100(C), pages 191-205.
    4. Marco E. Lübbecke & Jacques Desrosiers, 2005. "Selected Topics in Column Generation," Operations Research, INFORMS, vol. 53(6), pages 1007-1023, December.
    5. Brewer, Thomas L., 2019. "Black carbon emissions and regulatory policies in transportation," Energy Policy, Elsevier, vol. 129(C), pages 1047-1055.
    6. 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.
    7. Ventosa, Mariano & Baillo, Alvaro & Ramos, Andres & Rivier, Michel, 2005. "Electricity market modeling trends," Energy Policy, Elsevier, vol. 33(7), pages 897-913, May.
    8. J. Benders, 2005. "Partitioning procedures for solving mixed-variables programming problems," Computational Management Science, Springer, vol. 2(1), pages 3-19, January.
    9. Kaleta, Mariusz & Toczylowski, Eugeniusz, 2008. "Restriction techniques for the unit-commitment problem with total procurement costs," Energy Policy, Elsevier, vol. 36(7), pages 2439-2448, July.
    10. Ländner, Eva-Maria & Märtz, Alexandra & Schöpf, Michael & Weibelzahl, Martin, 2019. "From energy legislation to investment determination: Shaping future electricity markets with different flexibility options," Energy Policy, Elsevier, vol. 129(C), pages 1100-1110.
    11. Toro, Claudia & Sciubba, Enrico, 2018. "Sabatier based power-to-gas system: Heat exchange network design and thermoeconomic analysis," Applied Energy, Elsevier, vol. 229(C), pages 1181-1190.
    12. Alizadeh, Reza & Soltanisehat, Leili & Lund, Peter D. & Zamanisabzi, Hamed, 2020. "Improving renewable energy policy planning and decision-making through a hybrid MCDM method," Energy Policy, Elsevier, vol. 137(C).
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    1. Nikolaos Kalyviotis, 2025. "Life cycle assessment tools for road design: analysing linearity assumptions," Papers 2506.13896, arXiv.org.

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