Analytical Method for Renewable Energy and Energy Storage Investment Returns Adapted to the Development of Power Spot Markets in New Power System

Since China's “dual carbon” goals, renewable energy capacity has surged, with several provinces exceeding 50% of total capacity. As the spot market develops and subsidies decrease, high-renewable regions face declining market prices when renewable output rises, challenging cost recovery for renewable projects. This study uses wind power as a case to assess cost recovery under different installed capacities through a wind-thermal-storage simulation and an 8760-hour day-ahead market analysis. Results show that wind power units recover costs in low-renewable scenarios but struggle in high-renewable scenarios due to falling prices, while energy storage systems become marginally profitable. The study recommends long-term contracts and optimized storage configurations to support investment returns.

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Published
2025-04-15
DOI
https://doi.org/10.1109/acpee64358.2025.11041618
Primary Topic
Integrated Energy Systems Optimization
Type
article
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Analytical Method for Renewable Energy and Energy Storage Investment Returns Adapted to the Development of Power Spot Markets in New Power System

Yin Wang, Cong Duan, Yiwen Yang, Songxu Xin et al.
Integrated Energy Systems Optimization
article

Analytical Method for Renewable Energy and Energy Storage Investment Returns Adapted to the Development of Power Spot Markets in New Power System

Yin Wang, Cong Duan, Yiwen Yang, Songxu Xin, Yuefeng Wang, Shi Jichao
article en

Abstract

Since China's “dual carbon” goals, renewable energy capacity has surged, with several provinces exceeding 50% of total capacity. As the spot market develops and subsidies decrease, high-renewable regions face declining market prices when renewable output rises, challenging cost recovery for renewable projects. This study uses wind power as a case to assess cost recovery under different installed capacities through a wind-thermal-storage simulation and an 8760-hour day-ahead market analysis. Results show that wind power units recover costs in low-renewable scenarios but struggle in high-renewable scenarios due to falling prices, while energy storage systems become marginally profitable. The study recommends long-term contracts and optimized storage configurations to support investment returns.

North China Electric Power University (CN), Beijing Solar Energy Research Institute (CN)
Affordable and clean energy
Openalex Percentile: Top 87%
Integrated Energy Systems Optimization
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