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Low-carbon economic dispatch of a hydrogen-based integrated energy system considering the coordinated operation of CHP-ORC-CSP and P2G-CCS

Author

Listed:
  • Ren, Lina
  • Zhang, Kunpeng
  • Mehran, Kamyar
  • Ma, Kai

Abstract

In the context of “dual-carbon” aims, tackling the intermittent nature of renewable energy and the high carbon emissions from fossil-fuel-based generation is crucial to developing sustainable energy optimization systems. This paper offers a low-carbon optimization model for integrated energy systems (IES), integrating a multi-energy complementary operating mechanism with a reward-penalty ladder carbon trading technique to increase source-load interaction and build low-carbon coupling routes. First, a flexible Combined Heat and Power-Organic Rankine Cycle-Concentrated Solar Power (CHP-ORC-CSP) operating framework is designed to increase the dispatchability of the combined heat and power (CHP) system by combining Organic Rankine Cycle (ORC) and Concentrating Solar Power (CSP) technologies, therefore minimizing wind and solar curtailment. Second, an integrated P2G-CCS approach is presented to increase carbon resource use in the power-to-gas (P2G) system and minimize carbon emissions from gas-fired units. Additionally, an electrolyzer model, accounting for various operating conditions, is established, and the multi-path hydrogen application is expanded to strengthen the system’s low-carbon scheduling capability. To limit carbon emissions, a reward-penalty ladder-based carbon trading mechanism (RPLCTM) is introduced to establish an economic-environmental coordination optimization framework. The objective is to minimize the energy procurement cost, carbon trading costs, and the losses due to wind and solar curtailment. The optimization is performed for five typical scenarios using the YALMIP toolbox and CPLEX solver on the MATLAB platform. Simulation results demonstrate that the model reduces the system’s total operating cost by 30.46% and carbon emissions by 33.42%, confirming the method’s effectiveness and feasibility.

Suggested Citation

  • Ren, Lina & Zhang, Kunpeng & Mehran, Kamyar & Ma, Kai, 2025. "Low-carbon economic dispatch of a hydrogen-based integrated energy system considering the coordinated operation of CHP-ORC-CSP and P2G-CCS," Energy, Elsevier, vol. 340(C).
  • Handle: RePEc:eee:energy:v:340:y:2025:i:c:s0360544225048935
    DOI: 10.1016/j.energy.2025.139251
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    References listed on IDEAS

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    1. Ju, Liwei & Tan, Zhongfu & Yuan, Jinyun & Tan, Qingkun & Li, Huanhuan & Dong, Fugui, 2016. "A bi-level stochastic scheduling optimization model for a virtual power plant connected to a wind–photovoltaic–energy storage system considering the uncertainty and demand response," Applied Energy, Elsevier, vol. 171(C), pages 184-199.
    2. Lan, Liuhan & Zhang, Youzhong & Zhang, Xingping & Zhang, Xinyue, 2024. "Price effect of multi-energy system with CCS and P2G and its impact on carbon-gas-electricity sectors," Applied Energy, Elsevier, vol. 359(C).
    3. Fan, Wei & Tan, Zhongfu & Li, Fanqi & Zhang, Amin & Ju, Liwei & Wang, Yuwei & De, Gejirifu, 2023. "A two-stage optimal scheduling model of integrated energy system based on CVaR theory implementing integrated demand response," Energy, Elsevier, vol. 263(PC).
    4. Gao, Chong & Lin, Junjie & Zeng, Jianfeng & Han, Fengwu, 2022. "Wind-photovoltaic co-generation prediction and energy scheduling of low-carbon complex regional integrated energy system with hydrogen industry chain based on copula-MILP," Applied Energy, Elsevier, vol. 328(C).
    5. Wang, L.L. & Xian, R.C. & Jiao, P.H. & Chen, J.J. & Chen, Y. & Liu, H.G., 2024. "Multi-timescale optimization of integrated energy system with diversified utilization of hydrogen energy under the coupling of green certificate and carbon trading," Renewable Energy, Elsevier, vol. 228(C).
    6. Feng, Yong-qiang & Zhang, Fei-yang & Xu, Jing-wei & He, Zhi-xia & Zhang, Qiang & Xu, Kang-jing, 2023. "Parametric analysis and multi-objective optimization of biomass-fired organic Rankine cycle system combined heat and power under three operation strategies," Renewable Energy, Elsevier, vol. 208(C), pages 431-449.
    7. Li, Yuanyuan & Xiong, Yamin, 2018. "Thermo-economic analysis of a novel cascade integrated solar combined cycle system," Energy, Elsevier, vol. 145(C), pages 116-127.
    8. Zhang, Jinliang & Liu, Ziyi, 2024. "Low carbon economic scheduling model for a park integrated energy system considering integrated demand response, ladder-type carbon trading and fine utilization of hydrogen," Energy, Elsevier, vol. 290(C).
    9. Li, Yang & Bu, Fanjin & Li, Yuanzheng & Long, Chao, 2023. "Optimal scheduling of island integrated energy systems considering multi-uncertainties and hydrothermal simultaneous transmission: A deep reinforcement learning approach," Applied Energy, Elsevier, vol. 333(C).
    10. Guannan He & Dharik S. Mallapragada & Abhishek Bose & Clara F. Heuberger & Emre Genc{c}er, 2021. "Sector coupling via hydrogen to lower the cost of energy system decarbonization," Papers 2103.03442, arXiv.org.
    11. Oscar Utomo & Muditha Abeysekera & Carlos E. Ugalde-Loo, 2021. "Optimal Operation of a Hydrogen Storage and Fuel Cell Coupled Integrated Energy System," Sustainability, MDPI, vol. 13(6), pages 1-17, March.
    12. Wang, Haibing & Zheng, Tianhang & Sun, Weiqing & Khan, Muhammad Qasim, 2023. "Research on the pricing strategy of park electric vehicle agent considering carbon trading," Applied Energy, Elsevier, vol. 340(C).
    13. Wang, Jianhui & Mao, Jiangwei & Hao, Ruhai & Li, Shoudong & Bao, Guangqing, 2022. "Multi-energy coupling analysis and optimal scheduling of regional integrated energy system," Energy, Elsevier, vol. 254(PC).
    14. Wang, Rutian & Wen, Xiangyun & Wang, Xiuyun & Fu, Yanbo & Zhang, Yu, 2022. "Low carbon optimal operation of integrated energy system based on carbon capture technology, LCA carbon emissions and ladder-type carbon trading," Applied Energy, Elsevier, vol. 311(C).
    15. La Guardia, Marcello & D'Ippolito, Filippo & Cellura, Maurizio, 2022. "A GIS-based optimization model finalized to the localization of new power-to-gas plants: The case study of Sicily (Italy)," Renewable Energy, Elsevier, vol. 197(C), pages 828-835.
    16. Yue, Meiling & Lambert, Hugo & Pahon, Elodie & Roche, Robin & Jemei, Samir & Hissel, Daniel, 2021. "Hydrogen energy systems: A critical review of technologies, applications, trends and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    17. 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).
    18. Liu, Ming & Ma, Guofeng & Wang, Shan & Wang, Yu & Yan, Junjie, 2021. "Thermo-economic comparison of heat–power decoupling technologies for combined heat and power plants when participating in a power-balancing service in an energy hub," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    19. Ye, Jianan & Xie, Min & Zhang, Shiping & Huang, Ying & Liu, Mingbo & Wang, Qiong, 2023. "Stochastic optimal scheduling of electricity–hydrogen enriched compressed natural gas urban integrated energy system," Renewable Energy, Elsevier, vol. 211(C), pages 1024-1044.
    20. Liang, Tao & Chai, Lulu & Tan, Jianxin & Jing, Yanwei & Lv, Liangnian, 2024. "Dynamic optimization of an integrated energy system with carbon capture and power-to-gas interconnection: A deep reinforcement learning-based scheduling strategy," Applied Energy, Elsevier, vol. 367(C).
    21. Chen, J.J. & Qi, B.X. & Rong, Z.K. & Peng, K. & Zhao, Y.L. & Zhang, X.H., 2021. "Multi-energy coordinated microgrid scheduling with integrated demand response for flexibility improvement," Energy, Elsevier, vol. 217(C).
    22. Wu, Qunli & Li, Chunxiang, 2023. "Modeling and operation optimization of hydrogen-based integrated energy system with refined power-to-gas and carbon-capture-storage technologies under carbon trading," Energy, Elsevier, vol. 270(C).
    23. Pang, Kang Ying & Liew, Peng Yen & Woon, Kok Sin & Ho, Wai Shin & Wan Alwi, Sharifah Rafidah & Klemeš, Jiří Jaromír, 2023. "Multi-period multi-objective optimisation model for multi-energy urban-industrial symbiosis with heat, cooling, power and hydrogen demands," Energy, Elsevier, vol. 262(PA).
    24. Gao, Jianwei & Meng, Qichen & Liu, Jiangtao & Wang, Ziying, 2024. "Thermoelectric optimization of integrated energy system considering wind-photovoltaic uncertainty, two-stage power-to-gas and ladder-type carbon trading," Renewable Energy, Elsevier, vol. 221(C).
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