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Abstract The liquefaction process is regarded as primary among all topside systems in liquefied natural gas floating production storage and offloading (LNG FPSO) applications. The liquefaction process, which typically accounts for 70% of the capital cost of topside process systems and 30 to 40% of the overall cost of LNG FPSO plants, condenses the separated and pre-treated natural gas into LNG. The volume of liquid occupies about 1/600th the volume of the natural gas. The cycles in the liquefaction process consist of seven main pieces of equipment: compressor, sea water cooler, expansion valve, heat exchanger, phase separator, tee, and common header. Many different types of liquefaction cycles are determined according to their respective synthesis and optimized operating conditions. This study first proposes the generic liquefaction model to represent various types of liquefaction cycles. Twenty-seven feasible liquefaction configurations derived from the generic model are selected to perform the most effective synthesis for the optimization of the liquefaction cycle. With the minimum amount of power required for the compressors, the optimized liquefaction cycle then is proposed by obtaining optimal operating conditions in 27 cases. The optimized liquefaction cycle is compared with the dual mixed refrigerant (DMR) cycle, which is considered for the application of LNG FPSO. Finally, the results show that the amount of power required for the operating conditions is decreased by 1.2% compared with that of the DMR cycle.
Publication Date 2012-06-17

Ji-Hyun Hwang, Nam-Kug Ku, Joon-Chae Lee, Myung-Il Roh, Kyu-Yeul Lee, "Optimal Synthesis of LNG FPSO Liquefaction Cycles", Proceedings of ISOPE(International Society of Offshore and Polar Engineers) 2012, Rhodes, Greece, pp. 927-935, 2012.06.17-22


List of Articles
번호 분류 제목 Publication Date
120 International Conference Myung-Il Roh, "Applications of Deep Learning in Ship Design, Production, and Operation Stages", Proceedings of ICDM(International Conference on Decarbonization and Digitalization in Marine Engineering) 2022, Siheung, Korea, 2022.04.28-29 2022-04-29
119 International Conference Jeong-Ho Park, Myung-Il Roh, Hye-Won Lee, Jisang Ha, Yeong-Min Jo, Nam-Sun Son, "Detection and Tracking Methods of Maritime Obstacles Using Multiple Cameras", Proceedings of ICDM 2022, Siheung, Korea, 2022.04.28-29 2022-04-28
118 International Conference Do-Hyun Chun, Myung-Il Roh, Hye-Won Lee, Seung-Ho Ham, "A Block Lifting Method with Wire Ropes Based on Deep Reinforcement Learning", Proceedings of ICDM 2022, Si-Heung, Korea, 2022.04.28-29 2022-04-28
117 International Conference Dong-Guen Jeong, Myung-Il Roh, Ki-Su Kim, Jun-Sik Lee, Dae-Hyuk Kim, Wang-Seok Jang, "A Method for Route Planning of Small Ships in Coastal Areas", Proceedings of ICDM 2022, Si-Heung, Korea, 2022.04.28-29 2022-04-28
116 International Conference Do-Hyun Chun, Myung-Il Roh, Hye-Won Lee, "Deep Reinforcement Learning-Based Ship Collision Avoidance Considering Collision Risk", Proceedings of TEAM 2022, Istanbul, Turkey, pp. 268, 2021.12.06-07 file 2021-12-07
115 International Conference Ki-Su Kim, Myung-Il Roh, "Optimization of the Arrangement Design of a Ship Considering the Multiple Performance", Proceedings of ACSMO 2020, Seoul, Korea, pp. 167, 2020.11.23-25 file 2020-11-24
114 International Conference Jisang Ha, Myung-Il Roh, Hye-Won Lee, Jong-Ho Eun, Jong-Jin Park, Hyun-Joe Kim, "A Method of the Collision Avoidance of a Ship Using Real-time AIS Data", Proceedings of ACSMO 2020, Seoul, Korea, pp. 106, 2020.11.23-25 file 2020-11-23
113 International Conference Hye-Won Lee, Myung-Il Roh, Seung-Ho Ham, "Method for the Accurate and Automatic Operation of Offshore Floating Cranes for the Block Erection in Shipyards", Proceedings of OMAE 2020, Held in Virtual Conference, 2020.08.03-07 file 2020-08-05
112 International Conference Jisang Ha, Myung-Il Roh, Jong-Hyeok Lee, Jin-Hyeok Kim, Min-Chul Kong, Seung-Ho Ham, "Integrated Ship Remote Operating System Based on Digital Twin Technology", Proceedings of TEAM 2019, Tainan, Taiwan, pp. 106, 2019.10.14-17 file 2019-10-16
111 International Conference Luman Zhao, Myung-Il Roh, Hye-Won Lee, Do-Hyun Chun, Sung-Jun Lee, "A Collision Avoidance Method of Multi-ships Based on Deep Reinforcement Learning Considering COLREGs," Proceedings of ICCAS 2019, Rotterdam, Netherlands, pp. 85-88, 2019.09.24-26 file 2019-09-24
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