Skip to content
Extra Form
Abstract The aggravation of financial condition of shipping companies in recent years and the emphasis on reducing greenhouse gas emissions have resulted in renewed interest in further optimizing ship performance through the development of green-ship or smart-ship technologies. A recent IMO study has indicated that ship route planning can achieve reductions in fuel consumption and the associated greenhouse gas emissions through technical and operational measures such as speed management and route planning. Related to these issues, a simultaneous optimization method of the direction and speed for ship route planning is proposed in this study. For this, an optimization problem for finding an optimal ship route is mathematically formulated considering fuel consumption and weather condition. Furthermore, boil off gas for LNG carrier and seakeeping performance are also considered in the problem. In the optimization problem, The direction and speed of the ship are selected as design variables. The requirement on the estimated arrival of time, the avoidance of land and the requirement of seakeeping performances are selected as constraints. And the minimization of fuel consumption and boil off gas are selected as objective functions. To solve this problem, seed based meta-heuristic algorithms such as seed-GA, seed-SMPSO, etc. were tested and used as an optimization algorithm. The seed based algorithm gives one seed (a frequent route for a specific region) to first solution set of genetic algorithms. Therefore, at least we can always get a better solution than the seed. In addition, we can find the solution much faster than existing algorithms by using the seed. To check the applicability of the proposed method, it was applied to various problems for ship route planning and compared with the results from existing methods and the commercial program. The results show that the proposed method is applicable to find the optimum shipping routes.
Publication Date 2017-09-25

Ki-Su Kim, Myung-Il Roh, Sung-Min Lee, Jihye Cha, Jongjin Park, DongYeon Lee, Booki Kim, "An Efficient Method for Cost and Risk Saving in Ship Route Planning", Proceedings of the 31st Asian-Pacific TEAM 2017, Osaka, Japan, 2017.09.25-28

List of Articles
번호 분류 제목 Publication Date
281 Domestic Conference 조로만, 노명일, 함승호, 이성준, "다관절 크레인을 이용한 해양 작업 시 안전성 제고를 위한 HILS 적용", 2017년도 대한조선학회 추계학술발표회, 여수, 2017.11.02-03 file 2017-11-02
280 Domestic Conference 이성준, 노명일, 이혜원, 하지상, "딥 러닝을 이용한 선박 이미지 탐색 및 분류", 2017년도 대한조선학회 추계학술발표회, 여수, 2017.11.02-03 file 2017-11-02
279 Domestic Conference 김성훈, 노명일, 오민재, 박성우, 이원준, 김인일, 김창용, "빅데이터 기반 선박 운항 에너지 효율 지표 분석", 2017년도 대한조선학회 추계학술발표회, 여수, 2017.11.02-03 file 2017-11-02
278 Domestic Conference 이승민, 노명일, 김기수, "쾌속 침수 해석을 위한 병렬 컴퓨팅 기법 연구", 2017년도 대한조선학회 추계학술발표회, 여수, 2017.11.02-03 file 2017-11-02
277 Domestic Conference 박성우, 노명일, "작업성 및 효율성을 고려한 해양구조물 배관 설계 자동화 방법 연구", 2017년도 대한조선학회 추계학술발표회, 여수, 2017.11.02-03 file 2017-11-02
276 Conference Chairman 설계 및 법규 (A1), 2017년도 대한조선학회 추계학술발표회, 여수, 2017.11.02-03 2017-11-02
275 Domestic Conference 노명일, 조상래, 정준모, 김영제, 변정우, "손상 함정의 침수 해석 기반 복원성 평가 방법", 2017년도 함정기술무기체계 세미나, 부산, 2017.10.26-27 file 2017-10-27
274 Domestic Conference 이상현, 노명일, 김기수, "최적화 기법과 전문가 시스템 기반 LNG FPSO의 통합 배치 설계 방법", 2017년도 한국해양공학회 추계학술발표회, 거제, 2017.10.19-20 file 2017-10-20
273 Domestic Conference 함승호, 노명일, 이성준, 조로만, 이주필, "조선 해양 분야에서의 물리 기반 해석과 가상 현실의 통합 시뮬레이션 기술 개발 및 적용", 2017년도 조선해양생산연구회 추계학술발표회, 부산, 2017.10.19-20 file 2017-10-19
272 International Conference Seong-Hoon Kim, Myung-Il Roh, Min-Jae Oh, Namkug Ku, Sehyun Myung, "Big Data Platform for PLM (Product Lifecycle Management) Systems in Shipbuilding and Offshore Industry", Proceedings of ICCAS 2017, Singapore, Singapore, 2017.09.26-28 file 2017-09-27
Board Pagination Prev 1 ... 16 17 18 19 20 21 22 23 24 25 ... 49 Next
/ 49

Powered by Xpress Engine / Designed by Sketchbook

sketchbook5, 스케치북5

sketchbook5, 스케치북5

나눔글꼴 설치 안내

이 PC에는 나눔글꼴이 설치되어 있지 않습니다.

이 사이트를 나눔글꼴로 보기 위해서는
나눔글꼴을 설치해야 합니다.

설치 취소