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Optimal battery management for vehicle-to-home and vehicle-to-grid operations in a residential case study

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  • Lazzeroni, Paolo
  • Olivero, Sergio
  • Repetto, Maurizio
  • Stirano, Federico
  • Vallet, Marc

Abstract

In the mobility sector Electric Vehicles represent one of the main opportunities to ensure strong reduction of local pollution. However, their higher costs compared to gas-fuelled cars are still a barrier for their large diffusions. One possible solutions to increase EVs penetration is their use as storage within households equipped with Renewable Energy Sources enabling a flexible energy management, for instance by the Vehicle-to-Grid and/or Vehicle-to-Home scheme.

Suggested Citation

  • Lazzeroni, Paolo & Olivero, Sergio & Repetto, Maurizio & Stirano, Federico & Vallet, Marc, 2019. "Optimal battery management for vehicle-to-home and vehicle-to-grid operations in a residential case study," Energy, Elsevier, vol. 175(C), pages 704-721.
    • Handle: RePEc:eee:energy:v:175:y:2019:i:c:p:704-721
    DOI: 10.1016/j.energy.2019.03.113
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    Citations

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    Cited by:

    1. Michel Noussan & Matteo Jarre, 2021. "Assessing Commuting Energy and Emissions Savings through Remote Working and Carpooling: Lessons from an Italian Region," Energies, MDPI, vol. 14(21), pages 1-19, November.
    2. Chen, Jianhong & Zhang, Youlang & Li, Xinzhou & Sun, Bo & Liao, Qiangqiang & Tao, Yibin & Wang, Zhiqin, 2020. "Strategic integration of vehicle-to-home system with home distributed photovoltaic power generation in Shanghai," Applied Energy, Elsevier, vol. 263(C).
    3. Tahir, Mustafa & Hu, Sideng & Zhu, Haoqi, 2024. "Strategic operation of electric vehicle in residential microgrid with vehicle-to-home features," Energy, Elsevier, vol. 308(C).
    4. Zhang, Miao & Kang, Jiaxi & Tang, Ruixin & Xu, Fangyuan & Fan, Yiliang & Tang, Xiongming & Zhang, Haotian, 2020. "Sharing car park system for parking units of multiple EVs in a power market," Energy, Elsevier, vol. 212(C).
    5. Riccardo Iacobucci & Raffaele Bruno & Jan-Dirk Schmöcker, 2021. "An Integrated Optimisation-Simulation Framework for Scalable Smart Charging and Relocation of Shared Autonomous Electric Vehicles," Energies, MDPI, vol. 14(12), pages 1-22, June.
    6. Ana Cabrera-Tobar & Alessandro Massi Pavan & Giovanni Petrone & Giovanni Spagnuolo, 2022. "A Review of the Optimization and Control Techniques in the Presence of Uncertainties for the Energy Management of Microgrids," Energies, MDPI, vol. 15(23), pages 1-38, December.
    7. Zhang, Youlang & Li, Yan & Tao, Yibin & Ye, Jilei & Pan, Aiqiang & Li, Xinzhou & Liao, Qiangqiang & Wang, Zhiqin, 2020. "Performance assessment of retired EV battery modules for echelon use," Energy, Elsevier, vol. 193(C).
    8. Zhou, Yuekuan, 2023. "Sustainable energy sharing districts with electrochemical battery degradation in design, planning, operation and multi-objective optimisation," Renewable Energy, Elsevier, vol. 202(C), pages 1324-1341.
    9. Buonomano, Annamaria, 2020. "Building to Vehicle to Building concept: A comprehensive parametric and sensitivity analysis for decision making aims," Applied Energy, Elsevier, vol. 261(C).
    10. Jiao, Zihao & Ran, Lun & Zhang, Yanzi & Ren, Yaping, 2021. "Robust vehicle-to-grid power dispatching operations amid sociotechnical complexities," Applied Energy, Elsevier, vol. 281(C).
    11. Carlo Villante, 2023. "A Novel SW Tool for the Evaluation of Expected Benefits of V2H Charging Devices Utilization in V2B Building Contexts," Energies, MDPI, vol. 16(7), pages 1-25, March.
    12. Anton Kersten & Artem Rodionov & Manuel Kuder & Thomas Hammarström & Anton Lesnicar & Torbjörn Thiringer, 2021. "Review of Technical Design and Safety Requirements for Vehicle Chargers and Their Infrastructure According to National Swedish and Harmonized European Standards," Energies, MDPI, vol. 14(11), pages 1-17, June.
    13. Barone, Giovanni & Buonomano, Annamaria & Forzano, Cesare & Giuzio, Giovanni Francesco & Palombo, Adolfo & Russo, Giuseppe, 2022. "Energy virtual networks based on electric vehicles for sustainable buildings: System modelling for comparative energy and economic analyses," Energy, Elsevier, vol. 242(C).
    14. Li, Yanxue & Zhang, Xiaoyi & Gao, Weijun & Xu, Wenya & Wang, Zixuan, 2022. "Operational performance and grid-support assessment of distributed flexibility practices among residential prosumers under high PV penetration," Energy, Elsevier, vol. 238(PB).
    15. Wu, Yan & Aziz, Syed Mahfuzul & Haque, Mohammed H., 2024. "Vehicle-to-home operation and multi-location charging of electric vehicles for energy cost optimisation of households with photovoltaic system and battery energy storage," Renewable Energy, Elsevier, vol. 221(C).
    16. Kai Xu & Youguang Guo & Gang Lei & Jianguo Zhu, 2023. "A Review of Flywheel Energy Storage System Technologies," Energies, MDPI, vol. 16(18), pages 1-32, September.
    17. Rafael G. Nagel & Vitor Fernão Pires & Jony L. Silveira & Armando Cordeiro & Daniel Foito, 2023. "Financial Analysis of Household Photovoltaic Self-Consumption in the Context of the Vehicle-to-Home ( V2H ) in Portugal," Energies, MDPI, vol. 16(3), pages 1-21, January.
    18. Niu, Jide & Li, Xiaoyuan & Tian, Zhe & Yang, Hongxing, 2024. "Uncertainty analysis of the electric vehicle potential for a household to enhance robustness in decision on the EV/V2H technologies," Applied Energy, Elsevier, vol. 365(C).
    19. 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.
    20. Cristina Sousa & Evaldo Costa, 2022. "Types of Policies for the Joint Diffusion of Electric Vehicles with Renewable Energies and Their Use Worldwide," Energies, MDPI, vol. 15(20), pages 1-19, October.
    21. Raymond Kene & Thomas Olwal & Barend J. van Wyk, 2021. "Sustainable Electric Vehicle Transportation," Sustainability, MDPI, vol. 13(22), pages 1-16, November.

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    Keywords

    Electric vehicle; V2H; V2G; Household case study; PV;
    All these keywords.

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