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Optimal design method and benefits research for a regional integrated energy system

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  • Wu, Di
  • Guo, Jiacheng

Abstract

Regional integrated energy systems (RIES) have garnered increased attention because they highly utilize renewable energy, comprehensive efficiency, and flexible operation. However, the current research on RIESs is mainly based on burning natural gas and supplemented by renewable energy, which will consumes much primary energy and generates corresponding carbon emissions. Therefore, a RIES contained various renewable energy sources and station energy sharing was constructed in this paper. Both the collaborative optimization model, which considered the operating parameters and system configuration, and the hierarchical optimization model, which optimizes the equipment configuration at the upper layer and the operational parameters at the underlayer, were constructed, respectively. Taking a multi-function low-carbon park as an example, the isolated integrated energy system (IIES) and RIES performances were explored. Finally, the operation cost, carbon emission, and interactive power in the separated production system, IIES and RIES were analyzed and discussed from a long-short time scale perspective. The results showed that the carbon emission, interactive power, and energy supply cost of the RIES's unit area are 7.62 kg/m2, 10.07 kWh/m2, and 40.55 CNY/m2, respectively. Long time scale perspective (Years or months), RIESs could significantly reduce carbon emissions and interactive power. However, on a short time scale viewpoint (Hours), the system's instantaneous energy conservation and carbon reduction effect was general; meanwhile, the maximum grid-connected power in IIES and RIES was 2617.7 and 2712.0 kW, respectively.

Suggested Citation

  • Wu, Di & Guo, Jiacheng, 2023. "Optimal design method and benefits research for a regional integrated energy system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 186(C).
    • Handle: RePEc:eee:rensus:v:186:y:2023:i:c:s1364032123005282
    DOI: 10.1016/j.rser.2023.113671
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    References listed on IDEAS

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    1. Yamchi, Hamid Bakhshi & Safari, Amin & Guerrero, Josep M., 2021. "A multi-objective mixed integer linear programming model for integrated electricity-gas network expansion planning considering the impact of photovoltaic generation," Energy, Elsevier, vol. 222(C).
    2. Zhang, Guoqing & Wang, Jiangjiang & Ren, Fukang & Liu, Yi & Dong, Fuxiang, 2021. "Collaborative optimization for multiple energy stations in distributed energy network based on electricity and heat interchanges," Energy, Elsevier, vol. 222(C).
    3. Li, Fan & Sun, Bo & Zhang, Chenghui & Liu, Che, 2019. "A hybrid optimization-based scheduling strategy for combined cooling, heating, and power system with thermal energy storage," Energy, Elsevier, vol. 188(C).
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    Cited by:

    1. Jia, Jiandong & Li, Haiqiao & Wu, Di & Guo, Jiacheng & Jiang, Leilei & Fan, Zeming, 2024. "Multi-objective optimization study of regional integrated energy systems coupled with renewable energy, energy storage, and inter-station energy sharing," Renewable Energy, Elsevier, vol. 225(C).
    2. Fan, Guangyao & Yu, Binbin & Sun, Bo & Li, Fan, 2024. "Multi-time-space scale optimization for a hydrogen-based regional multi-energy system," Applied Energy, Elsevier, vol. 371(C).
    3. Han, Zepeng & Han, Wei & Ye, Yiyin & Sui, Jun, 2024. "Multi-objective sustainability optimization of a solar-based integrated energy system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 202(C).
    4. Xue, Kai & Wang, Jinshi & Zhao, Quanbin & Li, Chun & Chong, Daotong & Yan, Junjie, 2025. "Hierarchical optimisation for planning and dispatching of regional energy systems integrated with power-to-methanol," Renewable and Sustainable Energy Reviews, Elsevier, vol. 210(C).

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