The improved ChinaCCS decision support system: A case study for Beijing–Tianjin–Hebei Region of China

Abstract

Wide employment of CO2 capture and storage (CCS) technology is of great importance to the sustainable development of China thanks to its contributions to climate change mitigation. Considering the fact that coal accounts for over 65% in the primary energy consumption mix of China, commensurate infrastructure should be built up to transport CO2 to storage sinks from emission sources. The paper presents the improved ChinaCCS Decision Support System (DSS), a tool developed by the General Algebraic Modeling System (GAMS) for optimizing CO2 transportation network given a set of sources and sinks by generating a fully integrated, cost-minimizing CCS system. The improved ChinaCCS DSS assists in determining the sources, sinks and amounts for CO2 capture and sequestration, as well as the paths and sizes of pipelines, while minimizing the net present value for sequestrating a given amount of CO2. Pipeline construction costs take into account topographic conditions such as slopes, heavily populated areas, rivers, railway, highway, etc. A case study for Beijing–Tianjin–Hebei Region of China was demonstrated in the paper. The results highlighted the importance of systematic planning for CCS infrastructure.