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Abstract As climate change, Arctic sea ice extent has been declining and the open water areas are expanding rapidly during the summer season in the Northern Sea Route (NSR), thus the opening of the NSR could offer the great possibilities to the shipping industry and shipbuilders. The NSR is navigated by merchant vessels which are equipped with a specially strengthened hull and sides to sail between Europe and Asia during the summer and autumn periods. To ensure ship safe navigation on the NSR the risk assessment should be conducted before the initial stages of voyage planning. The Korea Research Institute of Ships and Ocean Engineering (KRISO) have been developing the safe voyage planning system named KRISO Arctic safe Routing System (KARS). The main target of the KARS is ensuring ship safe navigation including the optimal route planning and increasing of the ship energy efficiency in the water area of the NSR. In this study, the main functions of the KARS were introduced and validation test was conducted onboard the Korean icebreaker ARAON in the East Siberian Sea. The ice trial results were summarized and the application possibility of the KARS was discussed.
Publication Date 2018-10-15
Seong-Yeob Jeong, Kuk-Jin Kang, Hyun-Soo Kim, Jung-Joong Kim, Myung-Il Roh, "A Study of Ship Safe Voyage Planning in the Northern Sea Route", Proceedings of the 13th PACOMS(Pacific/Asia Offshore Mechanics Symposium) 2018, Jeju, Korea, 2018.10.14-17

List of Articles
번호 분류 제목 Publication Date
41 International Conference John-Kyu Hwang, Myung-Il Roh, Ju-Hwan Cha, "Design Modification of a Damaged Free-Fall Lifeboat for FPSO through the Free-Fall Test", Proceedings of ISOPE(International Society of Offshore and Polar Engineers) 2014, Busan, Korea, 2014.06.15-20 file 2014-06-17
40 International Conference John-Kyu Hwang, Myung-Il Roh, Ji-Hyun Hwang and Ju-Hwan Cha, Kyu-Yeul Lee, "Overview on Detailed Design and Construction of 2,000,000BBLS FPSO", Proceedings of Design & Construction of FPU(Floating Production Units) 2007, Suntec, Singapore, pp. 1-6, 2007.04.03 file 2007-04-03
39 International Conference John-Kyu Hwang, Geun-Jae Bang, Myung-Il Roh, Kyu-Yeul Lee, "Detailed Design and Construction of the Hull of an FPSO(Floating, Production, Storage, and Off-loading unit)", Proceedings of ISOPE 2009, Osaka, Japan, pp. 151-158, 2009.06.21-26 file 2009-06-21
38 International Conference Jisang Ha, Myung-Il Roh, Sung-Jun Lee, Ki-Su Kim, Seung-Min Lee, "Toward Rapid Flooding Analysis of a Ship Using Surrogate Model by Deep Learning", Proceedings of the 31st Asian-Pacific TEAM 2017, Osaka, Japan, pp. 397-400, 2017.09.25-28 file 2017-09-26
37 International Conference Jisang Ha, Myung-Il Roh, Sung-Jun Lee, Ki-Su Kim, Seung-Min Lee, "Toward Rapid Analysis Using Surrogate Model by Deep Learning and Application to Ship Flooding Analysis", Proceedings of ISCDE 2017, Ho Chi Minh, Vietnam, pp. 1-2, 2017.12.13-16 file 2017-12-15
36 International Conference Jisang Ha, Myung-Il Roh, Ki-Su Kim, Min-Chul Kong, "Integrated Method for the Arrangement Design of a Ship for Implementing Digital Twin in Design", Proceedings of PRADS 2022, Dubrovnik, Croatia, 2022.10.09-13 file 2022-10-10
35 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
34 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
33 International Conference Jin-Hyeok Kim, Myung-Il Roh, In-Chang Yeo, Ki-Su Kim, Min-Jae Oh, Sejin Oh, "Estimation Model of Hydrodynamic Performance Using Hull Form Variation and Deep Learning", Proceedings of PRADS 2022, Dubrovnik, Croatia, pp.??, 2022.10.09-13 2022-10-09
32 International Conference Jin-Hyeok Kim, Myung-Il Roh, In-Chang Yeo, Ki-Su Kim, "Estimation of the Hydrodynamic Performance of the Parameterized Hull Forms Using Deep Learning", Proceedings of G-NAOE 2022, Changwon, Korea, 2022.11.06-10 2022-11-06
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