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Optimization of integrated energy systems in low-carbon community considering vehicle-to-building and the mobility of electric vehicles

Author

Listed:
  • Liu, Zihan
  • Li, Jiaxing
  • Li, Pengxiang
  • Sang, Yufeng
  • Zhao, Han
  • Wang, Leilei
  • Ye, Tianzhen
  • Jurasz, Jakub
  • Zheng, Wandong

Abstract

The combination of Vehicle-to-Building (V2B) and integrated energy system (IES) creates new opportunities to promote the consumption of renewable energy and achieve low carbon. Based on this, this study takes a comprehensive community composed of residential, office, commercial, and medical areas as the research object. This study innovatively establishes a spatiotemporal distribution model for electric vehicles (EVs) considering their mobility and energy storage characteristics, integrates EVs into IES to enable multi network interaction, and constructs a collaborative optimization model for IES design and operation. The results show that, through the optimization of the design and operation throughout the year and the analysis of the dispatching strategy, EVs can fulfill 81 % of the annual electricity load of residential area, more than 50 % of office and commercial area, and 31 % of medical area. EVs primarily charge during off-peak periods and discharge during peak periods, with peak discharging contributing to over 60 % of the overall electricity in peak price periods in each area, demonstrating significant demand response capability. Meanwhile, their demand response capability plays a role in decreasing the operation costs. This research not only offers an innovative perspective on IES but also lays a theoretical foundation for the practical application of V2B technology, holding significant research and practical value.

Suggested Citation

  • Liu, Zihan & Li, Jiaxing & Li, Pengxiang & Sang, Yufeng & Zhao, Han & Wang, Leilei & Ye, Tianzhen & Jurasz, Jakub & Zheng, Wandong, 2025. "Optimization of integrated energy systems in low-carbon community considering vehicle-to-building and the mobility of electric vehicles," Energy, Elsevier, vol. 328(C).
    • Handle: RePEc:eee:energy:v:328:y:2025:i:c:s0360544225022571
    DOI: 10.1016/j.energy.2025.136615
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