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Scenario analysis, management, and optimization of a new Vehicle-to-Micro-Grid (V2μG) network based on off-grid renewable building energy systems

Author

Listed:
  • Wang, Bingzheng
  • Yu, Xiaoli
  • Xu, Hongming
  • Wu, Qian
  • Wang, Lei
  • Huang, Rui
  • Li, Zhi
  • Zhou, Quan

Abstract

To fully exploit the potential of decarburization in the transport sector (e.g., electric vehicles (EV)) and energy sector (e.g., building energy system), this paper proposes a new concept of ‘Vehicle-to-Micro-Grid (V2μG) network’ that incorporates the off-grid building energy system with flexible power storage/supply provided by battery EVs (BEVs) and fuel cell EVs (FCEVs). The work is conducted with three main contributions: 1) a rule-based energy management strategy is proposed to study the impact of the V2μG interactions on the EV battery degradation; 2) a scenario analysis based on four working modes is conducted to evaluate the energy efficiency, costing, environmental impacts, and component ageing of the proposed V2μG network; 3) the optimum settings for system configuration, capacity, and operation strategy of the V2μG network are obtained by the NSGA-II algorithm. The study suggested that the degradation of lithium-ion batteries in BEV can be reduced by 13% compared to the network without FCEVs. In a community with 160 households and 200 EVs, the optimal V2μG network can reduce carbon dioxide emissions by 515.56 tons annually compared to the conventional off-grid building energy system powered by internal combustion engines.

Suggested Citation

  • Wang, Bingzheng & Yu, Xiaoli & Xu, Hongming & Wu, Qian & Wang, Lei & Huang, Rui & Li, Zhi & Zhou, Quan, 2022. "Scenario analysis, management, and optimization of a new Vehicle-to-Micro-Grid (V2μG) network based on off-grid renewable building energy systems," Applied Energy, Elsevier, vol. 325(C).
    • Handle: RePEc:eee:appene:v:325:y:2022:i:c:s0306261922011394
    DOI: 10.1016/j.apenergy.2022.119873
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