(248i) Dynamic Modeling and Optimization of the CCS Network in Korea

  Global warming has become an international concern, with increased amount of greenhouse gas(GHG) emissions, such as carbon dioxide and methane, as its main cause. A variety of research is going on around the world to deal with this problem, but most of them are unrealistic with regards to the cost and the amount of expense required for that technology. Among these efforts, carbon capture and storage(CCS) is deemed as the most practical solution of our age, because it can process large amounts of CO2 compared to the other technologies, and can be applied to the already existing power sectors to keep using fossil fuel while minimizing their effects on climate change. A report by the Intergovernmental Panel on Climate Change(IPCC) shows that the CCS technology will potentially reduce the amount of CO2 in the range of 15~55%. Also the International Energy Agency(IEA), an international organization established in the framework of the OECD, agreed on specific climate change mitigation efforts such as commercialization of the CCS technology by the year 2020. It is expecting that the CCS technology will take care of 19% of the total GHG reduction objectives by the year 2050. 

When it comes to CCS, Korea lacks much academic research both on CO2 capture and transportation, compared to the U.S. and Europe. Only one paper exists in comparing the costs of CO2 transport across the Korean peninsula, and even this one lacks sufficient information to be of relevant reference. Some researches have been made on the topic of ship transportation of CO2, but mainly they focus on the conditions of the transportation or transportation of CO2 to storage sites other than Korea.

In Korea the CCS technology has been selected as one of the ten core green technologies, and the Korean government has set up a CCS development road map to encourage research on CCS. Their objective is to commercialize the CCS technology throughout the Korean peninsula and achieve a goal of 32 Mton CO2 capture using CCS by 2030, which is approximately 10% of the total greenhouse gas reduction objective. Also they’re planning to reduce the cost of CO2 capture below 20$/tonCO2, and the cost of CO2 transportation and storage below 10$/tonCO2. For these objectives to be accomplished, careful optimization of the CCS network considering all sources, transportation methods, and storage/utilization sites is essential, because it is at least a 960 million dollar project. Unfortunately, no research have specifically considered all of these topics to meet the requirements of the CCS development road map.

Various data are required for this part, such as the geographical data(slopes, land use, national parks, etc.) of the Korean peninsula, nodes and links for roads, and population density. These data will become weight factors for transporting CO2 through that grid, and also provide the way of transport. The geographical informations systems simulator ArcGIS will be used to analyze these data and combine them to be used simultaneously. ArcGIS will also be used to find the optimal route from one node to another.

After completion of the above process the sources and storage/utilization sites will be optimized through a network, using the optimization problem solver ILOG CPLEX. The problem will become a multiple integer nonlinear problem(MINLP), so the ILOG CPLEX is fit for the job.