(163e) Modeling and Optimization of CO2 Transport Infrastructure Systems With Time in South Korean Case

Carbon Capture and Storage (CCS) is considered as one of the most practical approaches for the reduction of CO₂ emission. If CCS is applied to low carbon power generation, its deployment will require the construction of CO₂transport infrastructure on a massive scale. Because of its cost, estimated at many billions of dollars, decision makers who set the direction of the climate-change strategy must understand how to deploy the CCS infrastructure and when to extend it properly. 

 However, there is a dearth of data concerning CO₂ transport and storage. First, reservoir uncertainty has made it difficult to determine how many CO₂ sources can be connected to a reservoir. Second, it is hard to decide a transport method for locations and estimate its cost due to a lack of CO₂ transport data. Third, it is not clear whether to extend current transport infrastructure or change transport method when CO₂ emission rates and reduction objective increase with time. Because of those, it is necessary to provide analysis of CO₂transport network based on various transport scenarios.

 In this presentation, authors present analysis of the CO₂ transport network deployment with time using South Korean case. To overcome a dearth of data, the cost model and configuration method of transport are estimated from similar cases, such as natural gas transport. After making the cost model per distance, authors match CO₂ source to reservoir and decide transport methods by the regular rules on reservoir scenarios. Lastly, CO₂transport network with time is optimized for cost savings.

Acknowledgement: This research was supported by the second phase of the Brain Korea 21 Program in 2013, Institute of Chemical Processes in Seoul National University, Energy Efficiency & Resources Development of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) grant funded by the Ministry of Knowledge Economy (MKE) and grant from the LNG Plant R&D Center funded by the Ministry of Land, Transportation and Maritime Affairs (MLTM) of the Korean government.