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Subsidy Policies and Economic Analysis of Photovoltaic Energy Storage Integration in China

Author

Listed:
  • Wenhui Zhao

    (College of Economics and Management, Shanghai University of Electric Power, Shanghai 200090, China)

  • Rong Li

    (College of Economics and Management, Shanghai University of Electric Power, Shanghai 200090, China)

  • Shuan Zhu

    (Shanghai Qiyuan Green Power Technology Co., Ltd., The Green Energy Transportation Industry Innovation Center of SPIC, Shanghai 200090, China)

Abstract

In the context of China’s new power system, various regions have implemented policies mandating the integration of new energy sources with energy storage, while also introducing subsidies to alleviate project cost pressures. Currently, there is a lack of subsidy analysis for photovoltaic energy storage integration projects. In order to systematically assess the economic viability of photovoltaic energy storage integration projects after considering energy storage subsidies, this paper reviews relevant policies in the Chinese photovoltaic energy storage market. It analyzes the cost and revenue composition of photovoltaic energy storage integration projects, and constructs a system dynamics model for the levelized cost of electricity (LCOE) of such projects. Taking a specific photovoltaic energy storage project as an example, this paper measures the levelized cost of electricity and the investment return rate under different energy storage scenarios. Combining energy storage allocation ratios and internal rate of return indicators, this paper analyzes the net present value of photovoltaic energy storage integration projects under different subsidy standards. The results indicate that, while the current energy storage subsidy policies positively stimulate photovoltaic energy storage integration projects, they exhibit a limited capacity to cover energy storage investment costs, thereby failing to incentivize capital market participation in the construction of such projects. Rational allocation of energy storage capacity and optimization of corresponding subsidy policies are crucial prerequisites for enhancing the economic viability and widespread adoption of photovoltaic energy storage integration projects. This study not only aids in investment decision making for photovoltaic power stations but also contributes to the formulation of energy storage subsidy policies.

Suggested Citation

  • Wenhui Zhao & Rong Li & Shuan Zhu, 2024. "Subsidy Policies and Economic Analysis of Photovoltaic Energy Storage Integration in China," Energies, MDPI, vol. 17(10), pages 1-24, May.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:10:p:2372-:d:1394654
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    References listed on IDEAS

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    1. Zhang, Jian & Cho, Heejin & Luck, Rogelio & Mago, Pedro J., 2018. "Integrated photovoltaic and battery energy storage (PV-BES) systems: An analysis of existing financial incentive policies in the US," Applied Energy, Elsevier, vol. 212(C), pages 895-908.
    2. Djamila Rekioua & Khoudir Kakouche & Abdulrahman Babqi & Zahra Mokrani & Adel Oubelaid & Toufik Rekioua & Abdelghani Azil & Enas Ali & Ali H. Kasem Alaboudy & Saad A. Mohamed Abdelwahab, 2023. "Optimized Power Management Approach for Photovoltaic Systems with Hybrid Battery-Supercapacitor Storage," Sustainability, MDPI, vol. 15(19), pages 1-30, September.
    3. Hodge, Bri-Mathias & Brancucci Martinez-Anido, Carlo & Wang, Qin & Chartan, Erol & Florita, Anthony & Kiviluoma, Juha, 2018. "The combined value of wind and solar power forecasting improvements and electricity storage," Applied Energy, Elsevier, vol. 214(C), pages 1-15.
    4. Lakhani, Raksha & Doluweera, Ganesh & Bergerson, Joule, 2014. "Internalizing land use impacts for life cycle cost analysis of energy systems: A case of California’s photovoltaic implementation," Applied Energy, Elsevier, vol. 116(C), pages 253-259.
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    Cited by:

    1. Shengjun Wu & Dajiang Wang & Zheng Li & Wenbo Li & Ke Xu, 2025. "Grid-Connected Key Technical Indicators and Evaluation Methods for Multi-Type Synchronous Control Equipment," Energies, MDPI, vol. 18(5), pages 1-20, February.
    2. Gyuhyeon Bae & Ahyun Yoon & Sungsoo Kim, 2024. "Incentive Determination for Demand Response Considering Internal Rate of Return," Energies, MDPI, vol. 17(22), pages 1-15, November.

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