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Application Prospect, Development Status and Key Technologies of Shared Energy Storage toward Renewable Energy Accommodation Scenario in the Context of China

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Listed:
  • Weiqiang Qiu

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Sheng Zhou

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Yang Yang

    (Lishui Power Supply Company of State Grid Zhejiang Electric Power Co., Ltd., Lishui 323000, China)

  • Xiaoying Lv

    (Lishui Power Supply Company of State Grid Zhejiang Electric Power Co., Ltd., Lishui 323000, China)

  • Ting Lv

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Yuge Chen

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Ying Huang

    (Lishui Power Supply Company of State Grid Zhejiang Electric Power Co., Ltd., Lishui 323000, China)

  • Kunming Zhang

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Hongfei Yu

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Yunchu Wang

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Yuanqian Ma

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
    School of Information Science and Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China)

  • Zhenzhi Lin

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

Abstract

With the promotion of carbon peaking and carbon neutrality goals and the construction of renewable-dominated electric power systems, renewable energy will become the main power source of power systems in China. How to ensure the accommodation of renewable energy will also be the core issue in the future development process of renewable-dominated electric power systems. In this context, shared energy storage (SES), a novel business model combined with energy storage technologies and the sharing economy, has the potential to play an important role in renewable energy accommodation scenarios. This paper systematically organizes the application prospect, development status and key technologies of SES in the renewable energy accommodation scenario in the context of China, providing helpful references for the promotion of the business model. Firstly, a typical SES framework for renewable energy accommodation is described, and three basic forms of SES in this scenario are presented. Moreover, the application prospect of SES in the renewable energy accommodation scenario is quantitatively analyzed based on the renewable energy generation planning under the carbon peaking goal and the current guarantee mechanism of renewable energy accommodation. Furthermore, the rules for energy storage systems that provide the peak-regulation ancillary service in typical regions and provincial administrative regions in China are summarized, and the development status of SES in the renewable energy accommodation scenario is analyzed, combined with the actual market data. Finally, the key technologies to promote the further development of SES for renewable energy accommodation are presented.

Suggested Citation

  • Weiqiang Qiu & Sheng Zhou & Yang Yang & Xiaoying Lv & Ting Lv & Yuge Chen & Ying Huang & Kunming Zhang & Hongfei Yu & Yunchu Wang & Yuanqian Ma & Zhenzhi Lin, 2023. "Application Prospect, Development Status and Key Technologies of Shared Energy Storage toward Renewable Energy Accommodation Scenario in the Context of China," Energies, MDPI, vol. 16(2), pages 1-21, January.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:2:p:731-:d:1028754
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    References listed on IDEAS

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    1. Lombardi, P. & Schwabe, F., 2017. "Sharing economy as a new business model for energy storage systems," Applied Energy, Elsevier, vol. 188(C), pages 485-496.
    2. Walker, Awnalisa & Kwon, Soongeol, 2021. "Analysis on impact of shared energy storage in residential community: Individual versus shared energy storage," Applied Energy, Elsevier, vol. 282(PA).
    3. Eklas Hossain & Hossain Mansur Resalat Faruque & Md. Samiul Haque Sunny & Naeem Mohammad & Nafiu Nawar, 2020. "A Comprehensive Review on Energy Storage Systems: Types, Comparison, Current Scenario, Applications, Barriers, and Potential Solutions, Policies, and Future Prospects," Energies, MDPI, vol. 13(14), pages 1-127, July.
    4. Walker, Awnalisa & Kwon, Soongeol, 2021. "Design of structured control policy for shared energy storage in residential community: A stochastic optimization approach," Applied Energy, Elsevier, vol. 298(C).
    5. Zhang, Ziyu & Ding, Tao & Zhou, Quan & Sun, Yuge & Qu, Ming & Zeng, Ziyu & Ju, Yuntao & Li, Li & Wang, Kang & Chi, Fangde, 2021. "A review of technologies and applications on versatile energy storage systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    6. Alizadeh, M.I. & Parsa Moghaddam, M. & Amjady, N. & Siano, P. & Sheikh-El-Eslami, M.K., 2016. "Flexibility in future power systems with high renewable penetration: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1186-1193.
    7. Fan, Jing-Li & Wang, Jia-Xing & Hu, Jia-Wei & Yang, Yang & Wang, Yu, 2021. "Will China achieve its renewable portfolio standard targets? An analysis from the perspective of supply and demand," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    8. Liu, Jingkun & Zhang, Ning & Kang, Chongqing & Kirschen, Daniel & Xia, Qing, 2017. "Cloud energy storage for residential and small commercial consumers: A business case study," Applied Energy, Elsevier, vol. 188(C), pages 226-236.
    9. Efstathios E. Michaelides, 2022. "Transition to Renewable Energy for Communities: Energy Storage Requirements and Dissipation," Energies, MDPI, vol. 15(16), pages 1-11, August.
    10. Chang, Hsiu-Chuan & Ghaddar, Bissan & Nathwani, Jatin, 2022. "Shared community energy storage allocation and optimization," Applied Energy, Elsevier, vol. 318(C).
    11. Dahu Li & Xiaoda Cheng & Leijiao Ge & Wentao Huang & Jun He & Zhongwei He, 2022. "Multiple Power Supply Capacity Planning Research for New Power System Based on Situation Awareness," Energies, MDPI, vol. 15(9), pages 1-24, April.
    12. Zhang, Sufang & Andrews-Speed, Philip & Li, Sitao, 2018. "To what extent will China's ongoing electricity market reforms assist the integration of renewable energy?," Energy Policy, Elsevier, vol. 114(C), pages 165-172.
    13. Sakti, Apurba & Botterud, Audun & O’Sullivan, Francis, 2018. "Review of wholesale markets and regulations for advanced energy storage services in the United States: Current status and path forward," Energy Policy, Elsevier, vol. 120(C), pages 569-579.
    14. Steven Kane Curtis & Matthias Lehner, 2019. "Defining the Sharing Economy for Sustainability," Sustainability, MDPI, vol. 11(3), pages 1-25, January.
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