Practical deployment of pipelines for the CCS network in critical conditions using MINLP modelling and optimization: A case study of South Korea. (June 2018)

• Record Type: Journal Article
• Authors: Kim, Changsoo; Kim, Kyeongsu; Kim, Jeongnam; Ahmed, Usama; Han, Chonghun
• Is Part Of: International journal of greenhouse gas control. Volume 73(2018)
• Page Start: 79
• Page End: 94
• Publication Date: 2018-06
• Subjects: CCS pipeline network -- MINLP modelling -- Critical geographical conditions -- CCS policy considerations; Greenhouse gases -- Environmental aspects -- Periodicals; Air -- Purification -- Technological innovations -- Periodicals; Gaz à effet de serre -- Périodiques; Gaz à effet de serre -- Réduction -- Périodiques; Air -- Purification -- Technological innovations; Greenhouse gases -- Environmental aspects; Periodicals; 363.73874605
• DOI: 10.1016/j.ijggc.2018.03.024
• Languages: English
• ISSNs: 1750-5836

Abstract

Highlights: Framework for CCS network design in critical conditions is proposed. Effect of reservoir uncertainty and CCS policy options is analyzed. Policy options affect the network design more than reservoir uncertainty. Abstract: In applying Carbon Capture and Storage (CCS) technology, pipelines are an economic choice for transporting CO2 . However, it is difficult to plan the pipeline network in detail since various factors, such as mountain regions and high population density increase the cost of pipeline installation. Also, uncertainty of the reservoir capacity and national policies is important factors in practical pipeline deployment, especially in critical conditions mentioned above. In this study, the development of an optimal CCS pipeline network in critical conditions, and the effect of practical design conditions on the network, are studied using mixed-integer nonlinear programming (MINLP) modeling and optimization. South Korea is selected as a case study and optimal CCS networks are obtained according to four scenarios developed with regard to reservoir capacity and policy options. A rigorous cost model was developed, and subdivided penalty factors were applied to consider the drastic change in geographical conditions. The four scenarios were evaluated and the effect of the considered factors on the timely development of the CCS network was analyzed.