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针对我国CCS系统的源汇匹配问题,挑选我国最大的40个燃煤电厂(源)和26个封存场地(汇)为研究对象,在充分考虑源汇性质、捕捉封存成本与运输距离的基础上,基于总减排成本最低原则,结合地理信息系统(ArcGIS)构建了CCS源汇匹配模型,得出了源汇匹配理论方案。结果表明在源汇直接相连情况下,上述电厂通过CCS技术减排需修建管道23089km,30年累积减少CO_2排放1.27×10~9吨,单位减排成本53.63美元/吨。此外,运用改进节约里程法对理论方案进行优化,优化后可节约管道里程11686km,单位减排成本降低6.94%。根据优化方案,从未来重点勘探封存区域、管网规划等方面提出了有助于我国CCS大规模部署的建议。
Aiming at the problem of source and sink matching in China’s CCS system, 40 largest coal-fired power plants (sources) and 26 storage sites (sinks) in China are chosen as the research objects. Based on fully considering the nature of source and sink, capturing the cost of storage and transportation, , Based on the principle of the lowest total cost of emission reduction, combined with GIS (ArcGIS) to build a CCS source and sink matching model, derived source and sink matching theory program. The results show that in the case of direct connection of source and sink, the above-mentioned power plants need to construct 23,889km of pipeline through the CCS technology and reduce cumulative CO 2 emissions by 1.27 × 10 ~ 9 tons in 30 years, with unit emission reduction cost of 53.63 US dollars / ton. In addition, using the improved mileage method to optimize the theoretical scheme, after optimization, it can save 11686km of pipeline mileage and reduce the unit cost of emission reduction by 6.94%. According to the optimized plan, proposals for the large-scale deployment of CCS in China are put forward from the key areas for exploration and storage in the future and the pipe network planning.