IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v322y2025ics0360544225010552.html

Leveraging Electrochemical CO2 Reduction for optimizing comprehensive benefits of multi-energy systems: A collaborative optimization approach driven by energy-carbon integrated pricing

Author

Listed:
  • Zuo, Lujie
  • Xi, Yufei
  • Zhang, Jiansheng

Abstract

The Multi-Energy System (MES) with multiple energy services and emission reduction has significant potential to facilitate the low-carbon transformation of the energy sector. This paper proposes a novel MES framework that integrates Electrochemical CO2 Reduction (ECO2R) to effectively handle excess Renewable Energy (RE) and internal carbon emissions. The integration of the ECO2R link enables the MES to engage in carbon emission trading and generate revenue from chemical product sales. Considering the critical role of market mechanisms in system operation optimizations, a collaborative optimization model is developed, driven by a gas-electricity-carbon integrated pricing strategy. Using a Nash equilibrium game approach, the model allows electricity, gas, and heat subsystem operators to pursue their own benefits in limited communication. Case studies validate the effectiveness of the proposed optimization model. The simulation results show that compared to the traditional MES, the ECO2R-MES can timely consume surplus RE, reduce CO2 emissions by 2,706.73 kg, and generate revenue of 11,481.9 CNY in the electrochemical process. Furthermore, this study examines the impact of various chemical outputs and carbon market factors on system performance and profitability.

Suggested Citation

  • Zuo, Lujie & Xi, Yufei & Zhang, Jiansheng, 2025. "Leveraging Electrochemical CO2 Reduction for optimizing comprehensive benefits of multi-energy systems: A collaborative optimization approach driven by energy-carbon integrated pricing," Energy, Elsevier, vol. 322(C).
    • Handle: RePEc:eee:energy:v:322:y:2025:i:c:s0360544225010552
    DOI: 10.1016/j.energy.2025.135413
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544225010552
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2025.135413?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Karen Chan, 2020. "A few basic concepts in electrochemical carbon dioxide reduction," Nature Communications, Nature, vol. 11(1), pages 1-4, December.
    2. Pfeifer, Antun & Feijoo, Felipe & Duić, Neven, 2023. "Fast energy transition as a best strategy for all? The nash equilibrium of long-term energy planning strategies in coupled power markets," Energy, Elsevier, vol. 284(C).
    3. Xi, Yufei & Fang, Jiakun & Chen, Zhe & Zeng, Qing & Lund, Henrik, 2021. "Optimal coordination of flexible resources in the gas-heat-electricity integrated energy system," Energy, Elsevier, vol. 223(C).
    4. Wei Liu & Pengbo Zhai & Aowen Li & Bo Wei & Kunpeng Si & Yi Wei & Xingguo Wang & Guangda Zhu & Qian Chen & Xiaokang Gu & Ruifeng Zhang & Wu Zhou & Yongji Gong, 2022. "Electrochemical CO2 reduction to ethylene by ultrathin CuO nanoplate arrays," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    5. Yueshen Wu & Zhan Jiang & Xu Lu & Yongye Liang & Hailiang Wang, 2019. "Domino electroreduction of CO2 to methanol on a molecular catalyst," Nature, Nature, vol. 575(7784), pages 639-642, November.
    6. Tufa, Ramato Ashu & Chanda, Debabrata & Ma, Ming & Aili, David & Demissie, Taye Beyene & Vaes, Jan & Li, Qingfeng & Liu, Shanhu & Pant, Deepak, 2020. "Towards highly efficient electrochemical CO2 reduction: Cell designs, membranes and electrocatalysts," Applied Energy, Elsevier, vol. 277(C).
    7. Jiang, Aihua & Yuan, Huihong & Li, Delong, 2021. "Energy management for a community-level integrated energy system with photovoltaic prosumers based on bargaining theory," Energy, Elsevier, vol. 225(C).
    8. Huang, Yujing & Wang, Yudong & Liu, Nian, 2022. "A two-stage energy management for heat-electricity integrated energy system considering dynamic pricing of Stackelberg game and operation strategy optimization," Energy, Elsevier, vol. 244(PA).
    9. Yin, Linfei & Tao, Min, 2022. "Correlational broad learning for optimal scheduling of integrated energy systems considering distributed ground source heat pump heat storage systems," Energy, Elsevier, vol. 239(PE).
    10. Wei, Junjie & Chen, Zhewen & Zhang, Hao & Fan, Junming & Zhang, Yuming & Zhang, Wei & Li, Jiazhou, 2024. "Energy, exergy and economic(3E) analyses of a CO2 near-zero-emission power generation system with integrated supercritical water gasification of coal and SOFC," Energy, Elsevier, vol. 301(C).
    11. Woon, Kok Sin & Phuang, Zhen Xin & Taler, Jan & Varbanov, Petar Sabev & Chong, Cheng Tung & Klemeš, Jiří Jaromír & Lee, Chew Tin, 2023. "Recent advances in urban green energy development towards carbon emissions neutrality," Energy, Elsevier, vol. 267(C).
    12. Martin J. Osborne & Ariel Rubinstein, 1994. "A Course in Game Theory," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262650401, December.
    13. Xi, Yufei & Zeng, Qing & Chen, Zhe & Lund, Henrik & Conejo, Antonio J., 2020. "A market equilibrium model for electricity, gas and district heating operations," Energy, Elsevier, vol. 206(C).
    14. Duan, Jiandong & Liu, Fan & Yang, Yao, 2022. "Optimal operation for integrated electricity and natural gas systems considering demand response uncertainties," Applied Energy, Elsevier, vol. 323(C).
    15. Shoujie Li & Wei Chen & Xiao Dong & Chang Zhu & Aohui Chen & Yanfang Song & Guihua Li & Wei Wei & Yuhan Sun, 2022. "Hierarchical micro/nanostructured silver hollow fiber boosts electroreduction of carbon dioxide," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    16. Ma, Yiming & Wang, Haixin & Hong, Feng & Yang, Junyou & Chen, Zhe & Cui, Haoqian & Feng, Jiawei, 2021. "Modeling and optimization of combined heat and power with power-to-gas and carbon capture system in integrated energy system," Energy, Elsevier, vol. 236(C).
    17. Lund, Henrik & Østergaard, Poul Alberg & Connolly, David & Mathiesen, Brian Vad, 2017. "Smart energy and smart energy systems," Energy, Elsevier, vol. 137(C), pages 556-565.
    18. Ma, Siyuan & Mi, Yang & Shi, Shuai & Li, Dongdong & Xing, Haijun & Wang, Peng, 2024. "Low-carbon economic operation of energy hub integrated with linearization model and nodal energy-carbon price," Energy, Elsevier, vol. 294(C).
    19. Xi, Yufei & Zhang, Zhengfa & Zhang, Jiansheng, 2024. "Multi-objective optimization strategy for regional multi-energy systems integrated with medium-high temperature solar thermal technology," Energy, Elsevier, vol. 300(C).
    20. Zhang, Guangming & Wang, Wei & Chen, Zhenyu & Li, Ruilian & Niu, Yuguang, 2022. "Modeling and optimal dispatch of a carbon-cycle integrated energy system for low-carbon and economic operation," Energy, Elsevier, vol. 240(C).
    21. Liu, Tianhao & Tian, Jun & Zhu, Hongyu & Goh, Hui Hwang & Liu, Hui & Wu, Thomas & Zhang, Dongdong, 2023. "Key technologies and developments of multi-energy system: Three-layer framework, modelling and optimisation," Energy, Elsevier, vol. 277(C).
    22. Li, Yang & Wang, Bin & Yang, Zhen & Li, Jiazheng & Chen, Chen, 2022. "Hierarchical stochastic scheduling of multi-community integrated energy systems in uncertain environments via Stackelberg game," Applied Energy, Elsevier, vol. 308(C).
    23. Peng Zhou & Ishtiaque Ahmed Navid & Yongjin Ma & Yixin Xiao & Ping Wang & Zhengwei Ye & Baowen Zhou & Kai Sun & Zetian Mi, 2023. "Solar-to-hydrogen efficiency of more than 9% in photocatalytic water splitting," Nature, Nature, vol. 613(7942), pages 66-70, January.
    24. Hou, Guolian & Huang, Ting & Jiang, Hao & Cao, Huan & Zhang, Tianhao & Zhang, Jianhua & Gao, He & Liu, Yong & Zhou, Zhenhua & An, Zhenyi, 2024. "A flexible and deep peak shaving scheme for combined heat and power plant under full operating conditions," Energy, Elsevier, vol. 299(C).
    25. Wan, Ling & Moan, Torgeir & Gao, Zhen & Shi, Wei, 2024. "A review on the technical development of combined wind and wave energy conversion systems," Energy, Elsevier, vol. 294(C).
    26. Li, Ke & Ye, Ning & Li, Shuzhen & Wang, Haiyang & Zhang, Chenghui, 2023. "Distributed collaborative operation strategies in multi-agent integrated energy system considering integrated demand response based on game theory," Energy, Elsevier, vol. 273(C).
    27. Li, Jiamei & Ai, Qian & Yin, Shuangrui & Hao, Ran, 2022. "An aggregator-oriented hierarchical market mechanism for multi-type ancillary service provision based on the two-loop Stackelberg game," Applied Energy, Elsevier, vol. 323(C).
    28. Chi, Lixun & Su, Huai & Zio, Enrico & Qadrdan, Meysam & Zhou, Jing & Zhang, Li & Fan, Lin & Yang, Zhaoming & Xie, Fei & Zuo, Lili & Zhang, Jinjun, 2023. "A systematic framework for the assessment of the reliability of energy supply in Integrated Energy Systems based on a quasi-steady-state model," Energy, Elsevier, vol. 263(PB).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xi, Yufei & Zuo, Lujie & Chen, Meng & Zhang, Jiansheng & Cheng, Lin & Lestas, Ioannis, 2025. "Energy-carbon pricing-guided collaborative optimization for local integrated energy communities with multi-vector electrification consumers," Applied Energy, Elsevier, vol. 392(C).
    2. Xu, Xun & Shao, Zhenguo & Chen, Feixiong & Cheng, Guoyang, 2024. "Multi-game optimization operation strategy for integrated energy system considering spatiotemporal correlation of renewable energy," Energy, Elsevier, vol. 303(C).
    3. Li, Ke & Ye, Ning & Li, Shuzhen & Wang, Haiyang & Zhang, Chenghui, 2023. "Distributed collaborative operation strategies in multi-agent integrated energy system considering integrated demand response based on game theory," Energy, Elsevier, vol. 273(C).
    4. Qu, Jiawei & Xu, Kaiwen & Hou, Kai & Liu, Zeyu & Wu, Hao & Jia, Hongjie & Zhu, Lewei, 2025. "Reliable and economic operation of regional-community integrated energy systems: A hybrid game approach based on state similarity," Energy, Elsevier, vol. 336(C).
    5. Ma, Siyuan & Mi, Yang & Shi, Shuai & Li, Dongdong & Xing, Haijun & Wang, Peng, 2024. "Low-carbon economic operation of energy hub integrated with linearization model and nodal energy-carbon price," Energy, Elsevier, vol. 294(C).
    6. Zhou, Yanting & Ma, Zhongjing & Zhang, Jinhui & Zou, Suli, 2022. "Data-driven stochastic energy management of multi energy system using deep reinforcement learning," Energy, Elsevier, vol. 261(PA).
    7. Ding, Yixing & Xu, Qingshan & Hao, Lili & Xia, Yuanxing, 2023. "A Stackelberg Game-based robust optimization for user-side energy storage configuration and power pricing," Energy, Elsevier, vol. 283(C).
    8. Tang, Yingzhao & Ding, Shixing & Lu, Zhigang & Lu, Shuai & Zhang, Jiangyong & Cai, Yao & Guo, Xiaoqiang, 2026. "Multi-objective hybrid game-theoretic framework with distributionally robust chance constraints for multi-energy microgrid energy management," Applied Energy, Elsevier, vol. 404(C).
    9. Li, Jiamei & Ai, Qian & Chen, Minyu, 2023. "Strategic behavior modeling and energy management for electric-thermal-carbon-natural gas integrated energy system considering ancillary service," Energy, Elsevier, vol. 278(C).
    10. Ma, Yixiang & Yu, Lean & Zhang, Guoxing & Lu, Zhiming & Wu, Jiaqian, 2023. "Source-load uncertainty-based multi-objective multi-energy complementary optimal scheduling," Renewable Energy, Elsevier, vol. 219(P1).
    11. Wang, Tonghe & Hua, Haochen & Shi, Tianying & Wang, Rui & Sun, Yizhong & Naidoo, Pathmanathan, 2024. "A bi-level dispatch optimization of multi-microgrid considering green electricity consumption willingness under renewable portfolio standard policy," Applied Energy, Elsevier, vol. 356(C).
    12. Han, Fengwu & Zeng, Jianfeng & Lin, Junjie & Zhao, Yunlong & Gao, Chong, 2023. "A stochastic hierarchical optimization and revenue allocation approach for multi-regional integrated energy systems based on cooperative games," Applied Energy, Elsevier, vol. 350(C).
    13. Ye, Jin & Shuai, Qilin & Hua, Qingsong, 2025. "Dynamic programming-based low-carbon and economic scheduling of integrated energy system," Energy, Elsevier, vol. 322(C).
    14. Zhang, Xiangyu & Glaws, Andrew & Cortiella, Alexandre & Emami, Patrick & King, Ryan N., 2025. "Deep generative models in energy system applications: Review, challenges, and future directions," Applied Energy, Elsevier, vol. 380(C).
    15. Ren, Xiaoxiao & Wang, Jinshi & Yang, Sifan & Zhao, Quanbin & Jia, Yifan & Ou, Kejie & Hu, Guangtao & Yan, Junjie, 2025. "A novel multi-objective Stackelberg game model for multi-energy dynamic pricing and flexible scheduling in distributed multi-energy system," Energy, Elsevier, vol. 325(C).
    16. Xu, Jiazhu & Yi, Yuqin, 2023. "Multi-microgrid low-carbon economy operation strategy considering both source and load uncertainty: A Nash bargaining approach," Energy, Elsevier, vol. 263(PB).
    17. Yao, Wenliang & Wang, Chengfu & Yang, Ming & Wang, Kang & Dong, Xiaoming & Zhang, Zhenwei, 2023. "A tri-layer decision-making framework for IES considering the interaction of integrated demand response and multi-energy market clearing," Applied Energy, Elsevier, vol. 342(C).
    18. Fotopoulou, Maria & Rakopoulos, Dimitrios & Petridis, Stefanos & Drosatos, Panagiotis, 2024. "Assessment of smart grid operation under emergency situations," Energy, Elsevier, vol. 287(C).
    19. Tao, Jiaxin & Duan, Jiandong & Tuo, Lihao & Gao, Qi & Tian, Qinxing & Lu, Wenchao, 2025. "Exergy efficiency based multi-objective configuration optimization of energy hubs in the multi-energy distribution system," Energy, Elsevier, vol. 329(C).
    20. Li, Ling-Ling & Miao, Yan & Lim, Ming K. & Sethanan, Kanchana & Tseng, Ming-Lang, 2024. "Integrated energy system for low-carbon economic operation optimization: Pareto compromise programming and master-slave game," Renewable Energy, Elsevier, vol. 222(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:322:y:2025:i:c:s0360544225010552. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.