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

Liang Zhang, Huachen Du (), Hanzhang Luan, Baoyuan Wang, Shuyan Wu, Wenxu Guan, Ling Lyu and Xiangbiao Leng
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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

Energies, 2025, vol. 18, issue 5, 1-25

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.

Keywords: capacity configuration; integrated energy system; liquid carbon dioxide energy storage; power to gas; demand response (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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