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Behavioural modelling for personal and societal benefits of V2G/V2H integration on EV adoption

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  • Singh, Kamini
  • Singh, Anoop

Abstract

The prevailing knowledge-value-intention-action gaps on personal and societal benefits of electric vehicle (EV), challenges an energy user’s ability from its wider adoption. This work presents a model to empower an energy user to emerge as an EV-prosumer using vehicle-to-grid(V2G)/ vehicle-to-home(V2H) integration. The proposed algorithm uses an energy user's behavioural attributes ‘knowledge-gap’ and ‘risk-averseness’ to showcase the impact of EVs adoption on personal and societal benefits. Four categories of energy users are defined and considered to model the problem as per their behavioural outlook on EV adoption. The first two energy user categories inactive and active consumers are considered without EV integration. And, the comparative analysis of their personal payoff is discussed with the another two energy user categories considered with EVs: Type I EV-prosumer with single EV, and Type II EV-prosumer with multiple EVs. Further, the impact of an EV prosumer’s emergence on societal benefits is discussed for two types of micro-grid (MG) settings: MG-I and MG-II.

Suggested Citation

  • Singh, Kamini & Singh, Anoop, 2022. "Behavioural modelling for personal and societal benefits of V2G/V2H integration on EV adoption," Applied Energy, Elsevier, vol. 319(C).
    • Handle: RePEc:eee:appene:v:319:y:2022:i:c:s0306261922006237
    DOI: 10.1016/j.apenergy.2022.119265
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    2. Kwanghun Chung & Jong-Hyun Ryu, 2024. "Economic Value Assessment of Vehicle-to-Home (V2H) Operation under Various Environmental Conditions," Energies, MDPI, vol. 17(15), pages 1-16, August.
    3. Afshar, Shahab & Pecenak, Zachary K. & Barati, Masoud & Disfani, Vahid, 2022. "Mobile charging stations for EV charging management in urban areas: A case study in Chattanooga," Applied Energy, Elsevier, vol. 325(C).
    4. Anna Ostrowska & Tomasz Sikorski & Alessandro Burgio & Michał Jasiński, 2023. "Modern Use of Prosumer Energy Regulation Capabilities for the Provision of Microgrid Flexibility Services," Energies, MDPI, vol. 16(1), pages 1-13, January.
    5. Liu, Xiaochen & Fu, Zhi & Qiu, Siyuan & Li, Shaojie & Zhang, Tao & Liu, Xiaohua & Jiang, Yi, 2023. "Building-centric investigation into electric vehicle behavior: A survey-based simulation method for charging system design," Energy, Elsevier, vol. 271(C).
    6. Singh, Kamini & Gadh, Rajit & Singh, Anoop & Lal Dewangan, Chaman, 2022. "Design of an optimal P2P energy trading market model using bilevel stochastic optimization," Applied Energy, Elsevier, vol. 328(C).
    7. Yannick Pohlmann & Carl-Friedrich Klinck, 2023. "Techno-Economic Potential of V2B in a Neighborhood, Considering Tariff Models and Battery Cycle Limits," Energies, MDPI, vol. 16(11), pages 1-24, May.
    8. Konstantina Anastasiadou & Nikolaos Gavanas, 2022. "State-of-the-Art Review of the Key Factors Affecting Electric Vehicle Adoption by Consumers," Energies, MDPI, vol. 15(24), pages 1-23, December.
    9. 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).

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