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Considering the Comprehensive Energy System Capacity Optimization Configuration of Electric to Gas Conversion and Compressed Liquid Carbon Dioxide Energy Storage

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  • Liang Zhang

    (School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Huachen Du

    (School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Hanzhang Luan

    (School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Baoyuan Wang

    (School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Shuyan Wu

    (School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Wenxu Guan

    (School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Ling Lyu

    (School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Xiangbiao Leng

    (Southern Power Grid Energy Development Research Institute Company Limited, Guangzhou 510670, China)

Abstract

In view of the carbon emission reduction and new energy consumption problems in the integrated energy system (IES), this paper, for the first time, combines power to gas (P2G) with liquid carbon dioxide energy storage (LCES) and takes demand response (DR) into account simultaneously to construct a new type of IES capacity configuration optimization model. Firstly, based on the operation characteristics and coupling features of various devices within the system, the IES model was constructed. Meanwhile, the electricity, heat, and cold DR models were, respectively, established according to price-based and incentive-based methods. Finally, a two-layer collaborative optimization configuration model was built, with the upper layer aiming to minimize the annual total cost of the system and the lower layer aiming to minimize the annual operation cost of the system. Through case studies, the effectiveness of the established model was verified, and the impacts of DR, P2G, and LCES on the system capacity configuration results, economic efficiency, and environmental friendliness were investigated. Additionally, the impact of natural gas prices on the system optimization results was studied. The results showed that considering LCES and P2G could reduce the cost of the IES by 7.26% and the carbon emissions of the system by 31.03%, verifying the effectiveness of the proposed method and providing a feasible solution for IES capacity configuration.

Suggested Citation

  • Liang Zhang & Huachen Du & Hanzhang Luan & Baoyuan Wang & Shuyan Wu & Wenxu Guan & Ling Lyu & Xiangbiao Leng, 2025. "Considering the Comprehensive Energy System Capacity Optimization Configuration of Electric to Gas Conversion and Compressed Liquid Carbon Dioxide Energy Storage," Energies, MDPI, vol. 18(5), pages 1-25, March.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:5:p:1251-:d:1604953
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    References listed on IDEAS

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    1. Yang, Hongxing & Wei, Zhou & Chengzhi, Lou, 2009. "Optimal design and techno-economic analysis of a hybrid solar-wind power generation system," Applied Energy, Elsevier, vol. 86(2), pages 163-169, February.
    2. Fan, Guangyao & Liu, Zhijian & Liu, Xuan & Shi, Yaxin & Wu, Di & Guo, Jiacheng & Zhang, Shicong & Yang, Xinyan & Zhang, Yulong, 2022. "Two-layer collaborative optimization for a renewable energy system combining electricity storage, hydrogen storage, and heat storage," Energy, Elsevier, vol. 259(C).
    3. Li, Yang & Han, Meng & Shahidehpour, Mohammad & Li, Jiazheng & Long, Chao, 2023. "Data-driven distributionally robust scheduling of community integrated energy systems with uncertain renewable generations considering integrated demand response," Applied Energy, Elsevier, vol. 335(C).
    4. Zhang, Suhan & Chen, Shibo & Gu, Wei & Lu, Shuai & Chung, Chi Yung, 2024. "Dynamic optimal energy flow of integrated electricity and gas systems in continuous space," Applied Energy, Elsevier, vol. 375(C).
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