Research on Planning and Optimization of Integrated Energy Systems for Zero-Carbon Industrial Parks Considering CCS-P2G Coupling

Zero-carbon industrial parks are key to achieving regional energy decarbonization and economic development. This study proposes an optimization model integrating CCS-P2G technologies, enhancing carbon capture efficiency and renewable energy use. Through multi-timescale scheduling and scenario analysis, the model demonstrates improved economic and environmental performance while addressing operational uncertainties. The results validate significant energy cost savings and emission reductions, offering practical guidance for zero-carbon park planning and supporting global carbon neutrality goals.

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Publication Details

Published
2025-01-10
DOI
https://doi.org/10.1109/iceaai64185.2025.10956287
Citations
1
Primary Topic
Sustainable Industrial Ecology
Type
article
Field-Weighted Citation Impact
1.24
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article

Research on Planning and Optimization of Integrated Energy Systems for Zero-Carbon Industrial Parks Considering CCS-P2G Coupling

Lipan Fan, Fu Chen, Rui Tian
1 citations
Sustainable Industrial Ecology
1.24
article

Research on Planning and Optimization of Integrated Energy Systems for Zero-Carbon Industrial Parks Considering CCS-P2G Coupling

Lipan Fan, Fu Chen, Rui Tian
article en
1 citations

Abstract

Zero-carbon industrial parks are key to achieving regional energy decarbonization and economic development. This study proposes an optimization model integrating CCS-P2G technologies, enhancing carbon capture efficiency and renewable energy use. Through multi-timescale scheduling and scenario analysis, the model demonstrates improved economic and environmental performance while addressing operational uncertainties. The results validate significant energy cost savings and emission reductions, offering practical guidance for zero-carbon park planning and supporting global carbon neutrality goals.

State Grid Corporation of China (China) (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 21%
Sustainable Industrial Ecology
1.24
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