Optimizing regional CCUS clusterization deployment for multi-industrial sectors: A carbon neutrality pathway for emission-intensive region

作者：Jianqiao Zhang, Liang Zhao, Jin Li, Zhu Chen, Haiou Wang, Lijuan Wang · 发表于：Carbon Capture Science & Technology · 年份：2025 · DOI：10.1016/j.ccst.2025.100495 · 被引用次数：4 · 研究领域：Carbon Dioxide Capture Technologies、Environmental Impact and Sustainability、Climate Change Policy and Economics

Rapid mitigation of global climate change demands transformative technological innovations to achieve deep decarbonization. China has pledged the dual carbon goals of peaking carbon emissions by 2030 and achieving carbon neutrality by 2060, underscoring the urgency and scale of the challenge. While Carbon Capture, Utilization, and Storage (CCUS) has emerged as a promising approach, its large-scale implementation in emission-intensive industrial clustered region faces significant infrastructural challenges. Specifically, the optimal layout of regional CCUS clusterization and CO 2 transport networks remains unclear, particularly in highly industrialized regions such as China’s Jiangsu Province, where diverse industrial sectors and varied geological formations create complex source-sink matching challenges for CCUS deployment. In this study, we developed the SPATIAL (Strategic Pipeline And Technical Integration Analysis Layout) model that enables the optimization of CCUS deployment in emission-intensive regions from an industrial cluster perspective by integrating data of emissions from major industrial sources and storage potential from geological formations. The model was applied to Jiangsu Province under high, medium, and low emission reduction target scenarios through source-sink matching. Results show significant spatial heterogeneity between emission sources and geological storage resources in Jiangsu Province. For example, southern Jiangsu, characterized by high-intensity...