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Potential Analysis and Optimal Management of Winter Electric Heating in Rural China Based on V2H Technology

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  • Xinjia Gao

    (School of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin 150080, China
    School of Vehicle and Mobility, Tsinghua University, Beijing 100084, China)

  • Ran Li

    (School of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin 150080, China)

  • Siqi Chen

    (School of Vehicle and Mobility, Tsinghua University, Beijing 100084, China)

  • Yalun Li

    (School of Vehicle and Mobility, Tsinghua University, Beijing 100084, China)

Abstract

In order to improve the air pollution problem in northern China in winter, coal-to-electricity (CtE) projects are being vigorously implemented. Although the CtE project has a positive effect on alleviating air pollution and accelerating clean energy development, the economic benefits of electric heating are currently poor. In this study, a system based on vehicle-to-home (V2H) and photovoltaic power generation that can effectively improve the benefits of CtE projects is proposed. First, a V2H-based village microgrid is proposed. The winter temperature and direct radiation of the Beijing CtE project area are analyzed. Extreme operating conditions and typical operating conditions are constructed for potential analysis. After that, a bi-layer optimization model for energy management considering travel characteristics is proposed. The upper layer is a village-level microgrid energy-dispatching model considering meeting the heating load demand, and the lower layer is a multi-vehicle energy distribution model considering the battery degradation. The results show that the distribution grid expansion capacity of the electric heating system based on V2H and PV generation is reduced by 45.9%, and the residents’ electricity bills are reduced by 68.5%. The consumption of PV can be completed. This study has effectively increased the benefits of electric heating in northern China during winter. This helps the CtE project to be further promoted without leading to large subsidies from the government and the State Grid.

Suggested Citation

  • Xinjia Gao & Ran Li & Siqi Chen & Yalun Li, 2023. "Potential Analysis and Optimal Management of Winter Electric Heating in Rural China Based on V2H Technology," Sustainability, MDPI, vol. 15(15), pages 1-21, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:15:p:11517-:d:1202272
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    References listed on IDEAS

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    1. Zesen Wang & Yanmei Tang & Xiao Chen & Xiangyang Men & Jun Cao & Haifeng Wang, 2018. "Optimized Daily Dispatching Strategy of Building- Integrated Energy Systems Considering Vehicle to Grid Technology and Room Temperature Control," Energies, MDPI, vol. 11(5), pages 1-19, May.
    2. Yang, Zaoli & Li, Qin & Yan, Yamin & Shang, Wen-Long & Ochieng, Washington, 2022. "Examining influence factors of Chinese electric vehicle market demand based on online reviews under moderating effect of subsidy policy," Applied Energy, Elsevier, vol. 326(C).
    3. Fossati, Juan P. & Galarza, Ainhoa & Martín-Villate, Ander & Fontán, Luis, 2015. "A method for optimal sizing energy storage systems for microgrids," Renewable Energy, Elsevier, vol. 77(C), pages 539-549.
    4. Gaizka Saldaña & Jose Ignacio San Martin & Inmaculada Zamora & Francisco Javier Asensio & Oier Oñederra, 2019. "Electric Vehicle into the Grid: Charging Methodologies Aimed at Providing Ancillary Services Considering Battery Degradation," Energies, MDPI, vol. 12(12), pages 1-37, June.
    5. Cardoso, Gonçalo & Brouhard, Thomas & DeForest, Nicholas & Wang, Dai & Heleno, Miguel & Kotzur, Leander, 2018. "Battery aging in multi-energy microgrid design using mixed integer linear programming," Applied Energy, Elsevier, vol. 231(C), pages 1059-1069.
    6. Yimeng Du & Teng Ma, 2022. "Impact of electricity pricing strategy on residential energy consumption decisions in China: empirical evidence from a household survey," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 11(2), pages 154-171, April.
    7. Nogueira, Carlos Eduardo Camargo & Vidotto, Magno Luiz & Niedzialkoski, Rosana Krauss & de Souza, Samuel Nelson Melegari & Chaves, Luiz Inácio & Edwiges, Thiago & Santos, Darlisson Bentes dos & Wernck, 2014. "Sizing and simulation of a photovoltaic-wind energy system using batteries, applied for a small rural property located in the south of Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 151-157.
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    Cited by:

    1. 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.

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