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Optimal flexible power deployment strategies in China considering the emission trading system

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  • Liu, Zhiwei
  • Lin, Boqiang

Abstract

The rapid expansion of renewable energy sources (RES) in China has heightened the need for flexible power solutions to mitigate the intermittency of wind and photovoltaic generation. Two promising clean options are battery energy storage systems (BESS) coupled with RES and coal power retrofitted with carbon capture and storage (CCS). This study develops an optimization model to determine the cost-effective deployment of flexible power sources under China's Emission Trading System (ETS), evaluating trade-offs among energy security, transition efficiency, and system costs. The analysis reveals that (1) while BESS offers near-term economic advantages, CCS-equipped flexible coal power becomes increasingly competitive as RES penetration grows. (2) ETS plays a pivotal role in shaping deployment strategies, (3) Sensitivity analysis shows that cost variations in BESS and CCS can affect the optimal deployment strategy of flexible power sources. The results suggest that existing coal units should be retained in the near term to meet flexibility needs under the ETS, with the focus shifting to BESS in the medium term and to Coal power with CCS in the long term. Well-designed ETS mechanisms can reduce transition costs and improve efficiency, while technological advances may enhance the long-term viability of BESS.

Suggested Citation

  • Liu, Zhiwei & Lin, Boqiang, 2026. "Optimal flexible power deployment strategies in China considering the emission trading system," Energy Economics, Elsevier, vol. 153(C).
  • Handle: RePEc:eee:eneeco:v:153:y:2026:i:c:s0140988325009296
    DOI: 10.1016/j.eneco.2025.109099
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    as
    1. Fan, Jing-Li & Xu, Mao & Li, Fengyu & Yang, Lin & Zhang, Xian, 2018. "Carbon capture and storage (CCS) retrofit potential of coal-fired power plants in China: The technology lock-in and cost optimization perspective," Applied Energy, Elsevier, vol. 229(C), pages 326-334.
    2. Nils Löhndorf & David Wozabal, 2023. "The Value of Coordination in Multimarket Bidding of Grid Energy Storage," Operations Research, INFORMS, vol. 71(1), pages 1-22, January.
    3. Qihang Lin & Selvaprabu Nadarajah & Negar Soheili, 2020. "Revisiting Approximate Linear Programming: Constraint-Violation Learning with Applications to Inventory Control and Energy Storage," Management Science, INFORMS, vol. 66(4), pages 1544-1562, April.
    4. David B. Brown & James E. Smith, 2025. "Unit Commitment Without Commitment: A Dynamic Programming Approach for Managing an Integrated Energy System Under Uncertainty," Operations Research, INFORMS, vol. 73(4), pages 1744-1766, July.
    5. Göke, Leonard & Schmidt, Felix & Kendziorski, Mario, 2024. "Stabilized Benders decomposition for energy planning under climate uncertainty," European Journal of Operational Research, Elsevier, vol. 316(1), pages 183-199.
    6. Christian Kaps & Simone Marinesi & Serguei Netessine, 2023. "When Should the Off-Grid Sun Shine at Night? Optimum Renewable Generation and Energy Storage Investments," Management Science, INFORMS, vol. 69(12), pages 7633-7650, December.
    7. Tselika, Kyriaki & Tselika, Maria & Demetriades, Elias, 2024. "Quantifying the short-term asymmetric effects of renewable energy on the electricity merit-order curve," Energy Economics, Elsevier, vol. 132(C).
    8. Moret, Stefano & Babonneau, Frédéric & Bierlaire, Michel & Maréchal, François, 2020. "Decision support for strategic energy planning: A robust optimization framework," European Journal of Operational Research, Elsevier, vol. 280(2), pages 539-554.
    9. Zhang, Yimin & Davis, Dominic & Brear, Michael J. & Vecchi, Andrea, 2024. "The performance of renewable-rich wholesale electricity markets with significant energy storage and flexibility," Energy Economics, Elsevier, vol. 140(C).
    10. Felipe Cordera & Rodrigo Moreno & Fernando Ordoñez, 2023. "Unit Commitment Problem with Energy Storage Under Correlated Renewables Uncertainty," Operations Research, INFORMS, vol. 71(6), pages 1960-1977, November.
    11. Fan, Jing-Li & Wei, Shijie & Yang, Lin & Wang, Hang & Zhong, Ping & Zhang, Xian, 2019. "Comparison of the LCOE between coal-fired power plants with CCS and main low-carbon generation technologies: Evidence from China," Energy, Elsevier, vol. 176(C), pages 143-155.
    12. Heinermann, Justin & Kramer, Oliver, 2016. "Machine learning ensembles for wind power prediction," Renewable Energy, Elsevier, vol. 89(C), pages 671-679.
    13. Mikkola, Jani & Lund, Peter D., 2016. "Modeling flexibility and optimal use of existing power plants with large-scale variable renewable power schemes," Energy, Elsevier, vol. 112(C), pages 364-375.
    14. Bjørndal, Endre & Bjørndal, Mette Helene & Coniglio, Stefano & Körner, Marc-Fabian & Leinauer, Christina & Weibelzahl, Martin, 2023. "Energy storage operation and electricity market design: On the market power of monopolistic storage operators," European Journal of Operational Research, Elsevier, vol. 307(2), pages 887-909.
    15. Panos Kouvelis & Hirofumi Matsuo & Yixuan Xiao & Quan Yuan, 2023. "Long‐term service agreement in electricity supply chain with renewable energy penetration," Production and Operations Management, Production and Operations Management Society, vol. 32(6), pages 1830-1845, June.
    16. Kubik, M.L. & Coker, P.J. & Barlow, J.F., 2015. "Increasing thermal plant flexibility in a high renewables power system," Applied Energy, Elsevier, vol. 154(C), pages 102-111.
    17. Ghadimi, Saeed & Powell, Warren B., 2024. "Stochastic search for a parametric cost function approximation: Energy storage with rolling forecasts," European Journal of Operational Research, Elsevier, vol. 312(2), pages 641-652.
    18. Liebensteiner, Mario & Naumann, Fabian, 2022. "Can carbon pricing counteract renewable energies’ cannibalization problem?," Energy Economics, Elsevier, vol. 115(C).
    19. Wang, Yadong & Mao, Jinqi & Chen, Fan & Wang, Delu, 2022. "Uncovering the dynamics and uncertainties of substituting coal power with renewable energy resources," Renewable Energy, Elsevier, vol. 193(C), pages 669-686.
    20. Lin, Boqiang & Liu, Zhiwei, 2024. "Assessment of flexible coal power and battery energy storage system in supporting renewable energy," Energy, Elsevier, vol. 313(C).
    21. Bertsch, Joachim & Growitsch, Christian & Lorenczik, Stefan & Nagl, Stephan, 2016. "Flexibility in Europe's power sector — An additional requirement or an automatic complement?," Energy Economics, Elsevier, vol. 53(C), pages 118-131.
    22. Lin, Boqiang & Liu, Zhiwei, 2024. "Optimal coal power phase-out pathway considering high renewable energy proportion: A provincial example," Energy Policy, Elsevier, vol. 188(C).
    23. Lin, Boqiang & Liu, Zhiwei, 2024. "Assessment of China's flexible power investment value in the emission trading system," Applied Energy, Elsevier, vol. 359(C).
    24. Yang, Bo & Wei, Yi-Ming & Liu, Lan-Cui & Hou, Yun-Bing & Zhang, Kun & Yang, Lai & Feng, Ye, 2021. "Life cycle cost assessment of biomass co-firing power plants with CO2 capture and storage considering multiple incentives," Energy Economics, Elsevier, vol. 96(C).
    25. Jennie Bai & Hong Ru, 2024. "Carbon Emissions Trading and Environmental Protection: International Evidence," Management Science, INFORMS, vol. 70(7), pages 4593-4603, July.
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