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Displacing natural gas with electric vehicles for grid stabilization

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  • Nunes, Pedro
  • Brito, M.C.

Abstract

High renewable and variable electricity penetration in power systems requires increased grid stabilization from balancing power plants, namely gas operated. In the future, however, stabilization might be provided by electric vehicles operating under the smart-grid framework. Departing from this, this paper discusses and quantifies to what extent electric vehicles are required to be possible to shut down gas power plants. The analysis is performed using the EnergyPLAN tool, for the case study of the Portuguese power system in 2050. The results suggest that even a small share of the fleet of electric vehicles providing load balancing could lead to important reductions in gas use and energy excess. The gas share in the electricity mix is reduced from 10.2% without electric vehicles providing for stabilization to zero with 30% of the fleet providing it; the energy excess is reduced from 1.5% to zero above 15% of electric vehicles stabilizing the grid. Therefore, to achieve a power system without fossil fuels, electric vehicles capable of supporting the grid should be developed and adopted, as should be promoted the market and regulatory conditions to allow this.

Suggested Citation

  • Nunes, Pedro & Brito, M.C., 2017. "Displacing natural gas with electric vehicles for grid stabilization," Energy, Elsevier, vol. 141(C), pages 87-96.
  • Handle: RePEc:eee:energy:v:141:y:2017:i:c:p:87-96
    DOI: 10.1016/j.energy.2017.09.064
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    1. Bryden, Thomas S. & Hilton, George & Cruden, Andrew & Holton, Tim, 2018. "Electric vehicle fast charging station usage and power requirements," Energy, Elsevier, vol. 152(C), pages 322-332.
    2. Hajebrahimi, Ali & Kamwa, Innocent & Huneault, Maurice, 2018. "A novel approach for plug-in electric vehicle planning and electricity load management in presence of a clean disruptive technology," Energy, Elsevier, vol. 158(C), pages 975-985.
    3. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    4. Muhammad Huda & Tokimatsu Koji & Muhammad Aziz, 2020. "Techno Economic Analysis of Vehicle to Grid (V2G) Integration as Distributed Energy Resources in Indonesia Power System," Energies, MDPI, vol. 13(5), pages 1-16, March.
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    6. Neves, Sónia Almeida & Marques, António Cardoso & Fuinhas, José Alberto, 2018. "On the drivers of peak electricity demand: What is the role played by battery electric cars?," Energy, Elsevier, vol. 159(C), pages 905-915.
    7. Sovacool, Benjamin K. & Kester, Johannes & Noel, Lance & de Rubens, Gerardo Zarazua, 2019. "Energy Injustice and Nordic Electric Mobility: Inequality, Elitism, and Externalities in the Electrification of Vehicle-to-Grid (V2G) Transport," Ecological Economics, Elsevier, vol. 157(C), pages 205-217.
    8. Corinaldesi, Carlo & Lettner, Georg & Auer, Hans, 2022. "On the characterization and evaluation of residential on-site E-car-sharing," Energy, Elsevier, vol. 246(C).
    9. Iacobucci, Riccardo & McLellan, Benjamin & Tezuka, Tetsuo, 2018. "Modeling shared autonomous electric vehicles: Potential for transport and power grid integration," Energy, Elsevier, vol. 158(C), pages 148-163.
    10. Manríquez, Francisco & Sauma, Enzo & Aguado, José & de la Torre, Sebastián & Contreras, Javier, 2020. "The impact of electric vehicle charging schemes in power system expansion planning," Applied Energy, Elsevier, vol. 262(C).
    11. Sovacool, Benjamin K. & Noel, Lance & Kester, Johannes & Zarazua de Rubens, Gerardo, 2018. "Reviewing Nordic transport challenges and climate policy priorities: Expert perceptions of decarbonisation in Denmark, Finland, Iceland, Norway, Sweden," Energy, Elsevier, vol. 165(PA), pages 532-542.
    12. Zhou, Yuekuan & Cao, Sunliang & Hensen, Jan L.M. & Lund, Peter D., 2019. "Energy integration and interaction between buildings and vehicles: A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    13. Zhou, Kaile & Cheng, Lexin & Lu, Xinhui & Wen, Lulu, 2020. "Scheduling model of electric vehicles charging considering inconvenience and dynamic electricity prices," Applied Energy, Elsevier, vol. 276(C).
    14. Zhou, Yuekuan & Zheng, Siqian & Hensen, Jan L.M., 2024. "Machine learning-based digital district heating/cooling with renewable integrations and advanced low-carbon transition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    15. Maeder, Mattia & Weiss, Olga & Boulouchos, Konstantinos, 2021. "Assessing the need for flexibility technologies in decarbonized power systems: A new model applied to Central Europe," Applied Energy, Elsevier, vol. 282(PA).

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