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Strategic integration of vehicle-to-home system with home distributed photovoltaic power generation in Shanghai

Author

Listed:
  • Chen, Jianhong
  • Zhang, Youlang
  • Li, Xinzhou
  • Sun, Bo
  • Liao, Qiangqiang
  • Tao, Yibin
  • Wang, Zhiqin

Abstract

The energy utilization optimization strategies in a smart house without and with vehicle to home (V2H) and/or home distributed photovoltaic (HDPV) in Shanghai are investigated in detail for the efficient household energy utilization and the reduction of net electricity expenditure. Such influences as EV travel distances, weather conditions and different PV subsidies are also taken into account. The results show that transferring valley electricity and PV by V2H can not only improve the utilization rate of valley electricity and PV, but also obtain considerable economic benefits. Transferring PV by V2H can get more revenues than transferring valley electricity by V2H. The energy arbitrage of V2H decreases with the increase of the EV travel distance. The HDPV-V2H mode in the case studied can completely cover the electricity demand of the household load in sunny and cloudy days without additional grid electricity while the combination of PV with transferred valley electricity by V2H is enough to support the household load demand in rainy days. The positive return of HDPV still can’t do without the support from government’s subsidy in Shanghai in the coming time. However, the HDPV-V2H mode can improve the benefit of HDPV. Meanwhile, there are a lot of EVs in Shanghai, charging with green power in priority. The HDPV-V2H mode can promote the synergetic development of HDPV and EVs in Shanghai.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:appene:v:263:y:2020:i:c:s030626192030115x
    DOI: 10.1016/j.apenergy.2020.114603
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    13. Liu, Diyi & Zou, Hongyang & Qiu, Yueming & Du, Huibin, 2024. "Consumer reaction to green subsidy phase-out in China: Evidence from the household photovoltaic industry," Energy Economics, Elsevier, vol. 129(C).
    14. 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).
    15. 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).
    16. Ortega-Cabezas, Pedro-Miguel & Colmenar-Santos, Antonio & Borge-Diez, David & Blanes-Peiró, Jorge-Juan, 2021. "Can eco-routing, eco-driving and eco-charging contribute to the European Green Deal? Case Study: The City of Alcalá de Henares (Madrid, Spain)," Energy, Elsevier, vol. 228(C).
    17. Li, Yipu & Su, Hao & Zhou, Yun & Chen, Lixia & Shi, Yiwei & Li, Hengjie & Feng, Donghan, 2023. "Two-stage real-time optimal electricity dispatch strategy for urban residential quarter with electric vehicles’ charging load," Energy, Elsevier, vol. 268(C).
    18. Ibham Veza & Mohd Syaifuddin & Muhammad Idris & Safarudin Gazali Herawan & Abdulfatah Abdu Yusuf & Islam Md Rizwanul Fattah, 2024. "Electric Vehicle (EV) Review: Bibliometric Analysis of Electric Vehicle Trend, Policy, Lithium-Ion Battery, Battery Management, Charging Infrastructure, Smart Charging, and Electric Vehicle-to-Everyth," Energies, MDPI, vol. 17(15), pages 1-43, July.

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