Proceedings of the 2025 4th International Conference on Mathematical Statistics and Economic Analysis (MSEA 2025)

Research on a Renewable Energy Revenue Model Based on the Spot Market and the Sustainable Development Pricing Mechanism

Authors
Gongchang Zhou1, *, Erxi Wang1
1State Grid Shanghai Municipal Electric Power Company, Shanghai, 200000, China
*Corresponding author. Email: zhougongchang@sh.sgcc.com.cn
Corresponding Author
Gongchang Zhou
Available Online 20 February 2026.
DOI
10.2991/978-94-6463-992-6_48How to use a DOI?
Keywords
Spot Market; Sustainable Development Pricing Mechanism; Renewable Energy; Revenue Model; Green Electricity Trading
Abstract

Guided by the sustainable development goals, China’s installed capacity of renewable energy continues to rise, and the comprehensive participation of renewable energy units in electricity market transactions has become an inevitable trend. However, to ensure the revenue of renewable energy units, the introduction of the sustainable development pricing mechanism has made the revenue structure increasingly complex, highlighting the need for a scientific and reasonable revenue model to achieve revenue maximization. This paper develops a renewable energy revenue model considering the spot market, sustainable development pricing mechanism, and green electricity trading. The model aims to maximize revenue by comprehensively accounting for the dynamic relationships among spot electricity price fluctuations, the proportion of mechanism electricity, and green electricity trading prices. A case study of a 2 MW photovoltaic unit demonstrates that a lower proportion of mechanism electricity is conducive to capturing excess revenue from high price volatility, whereas a higher proportion of mechanism electricity is more advantageous for stabilizing total revenue. Achieving revenue maximization requires a comprehensive comparison of green electricity prices, spot market prices, and mechanism electricity prices to determine whether and when to participate in green electricity trading. The results validate the effectiveness of the model in guiding multi-market participation and revenue optimization for renewable energy units, providing a reference for renewable energy enterprises in formulating market strategies and for policymakers in improving revenue guarantee mechanisms.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 4th International Conference on Mathematical Statistics and Economic Analysis (MSEA 2025)
Series
Advances in Economics, Business and Management Research
Publication Date
20 February 2026
ISBN
978-94-6463-992-6
ISSN
2352-5428
DOI
10.2991/978-94-6463-992-6_48How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Gongchang Zhou
AU  - Erxi Wang
PY  - 2026
DA  - 2026/02/20
TI  - Research on a Renewable Energy Revenue Model Based on the Spot Market and the Sustainable Development Pricing Mechanism
BT  - Proceedings of the 2025 4th International Conference on Mathematical Statistics and Economic Analysis (MSEA 2025)
PB  - Atlantis Press
SP  - 517
EP  - 524
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-992-6_48
DO  - 10.2991/978-94-6463-992-6_48
ID  - Zhou2026
ER  -