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Is electric mobility effective in smoothing the electricity load diagram? Evidence from Europe

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  • Neves, Sónia Almeida
  • Pereira, Diogo Santos
  • Marques, António Cardoso

Abstract

This paper focuses on the impact of electric mobility, namely battery electric vehicles (BEVs) and plug-in hybrid electric vehicles (PHEVs), on peak, intermediate, and valley levels of electricity demand. Monthly data from January 2018 to August 2023, for 26 European countries was used. A threshold model was applied because the impact on electricity demand of BEV and PHEV adoption (sales of new EVs) depends on their penetration level (the number of EVs already in circulation). The results of these models showed that BEV adoption initially decreases electricity demand in peak periods, but that this effect diminishes as the number of BEVs in circulation increases. BEV adoption was also found to increase valley and intermediate electricity demand levels up to the first threshold of BEV penetration, but above this, sales of BEVs reduced demand in these periods. Regarding PHEVs, when their level of penetration is low, new sales actually increase peak, intermediate, and valley electricity consumption. Overall, this paper found evidence that, with the right policies, BEVs and PHEVs can smooth the electricity load diagram and, in so doing, increase the economic efficiency and sustainability of electricity systems.

Suggested Citation

  • Neves, Sónia Almeida & Pereira, Diogo Santos & Marques, António Cardoso, 2025. "Is electric mobility effective in smoothing the electricity load diagram? Evidence from Europe," Transport Policy, Elsevier, vol. 174(C).
    • Handle: RePEc:eee:trapol:v:174:y:2025:i:c:s0967070x25003877
    DOI: 10.1016/j.tranpol.2025.103844
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    1. Siobhan Powell & Gustavo Vianna Cezar & Liang Min & Inês M. L. Azevedo & Ram Rajagopal, 2022. "Charging infrastructure access and operation to reduce the grid impacts of deep electric vehicle adoption," Nature Energy, Nature, vol. 7(10), pages 932-945, October.
    2. Pereira, Diogo Santos & Marques, António Cardoso, 2020. "How should price-responsive electricity tariffs evolve? An analysis of the German net demand case," Utilities Policy, Elsevier, vol. 66(C).
    3. Sharda, S. & Garikapati, V.M. & Goulias, K.G. & Reyna, J.L. & Sun, B. & Spurlock, C.A. & Needell, Z., 2024. "The electric vehicles-solar photovoltaics Nexus: Driving cross-sectoral adoption of sustainable technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    4. Oluwagbenga Apata & Pitshou N. Bokoro & Gulshan Sharma, 2023. "The Risks and Challenges of Electric Vehicle Integration into Smart Cities," Energies, MDPI, vol. 16(14), pages 1-25, July.
    5. 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.
    6. Sagaria, Shemin & van der Kam, Mart & Boström, Tobias, 2025. "Vehicle-to-grid impact on battery degradation and estimation of V2G economic compensation," Applied Energy, Elsevier, vol. 377(PB).
    7. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    8. Shao, Shuai & Tan, Zhijia & Liu, Zhiyuan & Shang, Wenlong, 2022. "Balancing the GHG emissions and operational costs for a mixed fleet of electric buses and diesel buses," Applied Energy, Elsevier, vol. 328(C).
    9. Amirifard, Masoumeh & Sinton, Ronald A. & Kurtz, Sarah, 2024. "How demand-side management can shape electricity generation capacity planning," Utilities Policy, Elsevier, vol. 88(C).
    10. Ajanovic, Amela & Hiesl, Albert & Haas, Reinhard, 2020. "On the role of storage for electricity in smart energy systems," Energy, Elsevier, vol. 200(C).
    11. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    12. Yun, Sujin & Woo, JongRoul & Kwak, Kyuil, 2025. "Unlocking peak shaving: How EV driver heterogeneity shapes V2G potential," Energy, Elsevier, vol. 329(C).
    13. Wen, Le & Sheng, Mingyue Selena & Sharp, Basil & Meng, Tongyu & Du, Bo & Yi, Ming & Suomalainen, Kiti & Gkritza, Konstantina, 2023. "Exploration of the nexus between solar potential and electric vehicle uptake: A case study of Auckland, New Zealand," Energy Policy, Elsevier, vol. 173(C).
    14. Ma, Shao-Chao & Yi, Bo-Wen & Fan, Ying, 2022. "Research on the valley-filling pricing for EV charging considering renewable power generation," Energy Economics, Elsevier, vol. 106(C).
    15. Bao, Zhaoyao & Li, Jiapei & Bai, Xuehan & Xie, Chi & Chen, Zhibin & Xu, Min & Shang, Wen-Long & Li, Hailong, 2023. "An optimal charging scheduling model and algorithm for electric buses," Applied Energy, Elsevier, vol. 332(C).
    16. Aghaei, Jamshid & Nezhad, Ali Esmaeel & Rabiee, Abdorreza & Rahimi, Ehsan, 2016. "Contribution of Plug-in Hybrid Electric Vehicles in power system uncertainty management," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 450-458.
    17. Pereira, Diogo Santos & Marques, António Cardoso, 2022. "An analysis of the interactions between daily electricity demand levels in France," Utilities Policy, Elsevier, vol. 76(C).
    18. Shang, Wen-Long & Zhang, Junjie & Wang, Kun & Yang, Hangjun & Ochieng, Washington, 2024. "Can financial subsidy increase electric vehicle (EV) penetration---evidence from a quasi-natural experiment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 190(PA).
    19. Qiu, Yueming Lucy & Wang, Yi David & Iseki, Hiroyuki & Shen, Xingchi & Xing, Bo & Zhang, Huiming, 2022. "Empirical grid impact of in-home electric vehicle charging differs from predictions," Resource and Energy Economics, Elsevier, vol. 67(C).
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