基于GAMS的CCS源汇匹配管网优化模型

CCS source-sink matching network optimization model based on GAMS

碳捕集与封存(CCS)技术的推广对减缓全球气候变暖具有重要意义。CCS技术成熟后,CO2排放源和封存汇间的匹配及运输管网设计将成为大规模实施CCS项目的关键问题。为了对中国大陆CO2运输管网进行规划,并估算实施CCS项目的全流程总成本,该文在原ChinaCCS决策支持系统(ChinaCCS DSS)基础上开发出基于GAMS的源汇匹配管网优化模型。该模型可以确定CO2捕集与封存位置及相应量值、运输管道拓扑结构及各管径。通过对京津冀地区做案例分析,发现该地区CO2捕集量在0～180Mt/a变化时,源汇匹配单位总成本约为181～260RMB/t;较之原匹配模型,减少约20RMB/t,更具经济性。

Wide use of CO2 capture and storage （CCS） is of great importance to mitigate global warming. The matching of CO2 emission sources to storage sinks and the construction of CO2 transport pipeline networks will be a key problem for implementing CCS projects when the technology becomes mature. This paper presents a source-sink matching model developed by GAMS based on the ChinaCCS decision support system （DSS） to plan the CO2 transport pipeline network and assess the total cost of CCS projects in China's Mainland. The model determines where and how much CO2 to capture and store, and where to build pipelines of different sizes. A case analysis of the Jing-Jin-Ji region showed that the unit total cost of source-sink matching in this regions is 181 - 260 RMB/t, for capture amounts of 0 to 180 Mt/a. This result is more economical with total unit cost decrease of over 20 RMB/t compared with the original matching model.