Ship voyage optimization for safe and energy-efficient navigation: A dynamic programming approach

被引:109
|
作者
Zaccone, R. [1 ]
Ottaviani, E. [2 ]
Figari, M. [1 ]
Altosole, M. [1 ]
机构
[1] Univ Genoa, Polytech Sch, DITEN Dept Elect Elect Telecommun Engn & Naval Ar, Genoa, Italy
[2] OnAIR Srl, Genoa, Italy
关键词
Ship voyage optimization; Dynamic programming; Weather routing; Ship propulsion; Ship motions; COMPOSITE INFLUENCE; PERFORMANCE; PROPULSION;
D O I
10.1016/j.oceaneng.2018.01.100
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
The paper presents a 3D dynamic programming based ship voyage optimization method, aiming to select the optimal path and speed profile for a ship voyage on the basis of weather forecast maps. The optimization is performed in accordance to a minimum fuel consumption strategy taking also into account ship motions and comfort. The optimization is carried out in a discretized space-time domain: the ship voyage is parametrized as a multi-stage decision process in order to formulate a dynamic programming optimization problem. Waves and wind conditions are estimated for each route segment by weather forecasting maps then seakeeping related indexes and fuel oil consumption are computed taking into account wave-induced ship motions and added resistance. The best routing solution is thus selected by a dynamic programming algorithm developed and implemented by the authors. Results and discussion of the proposed method are presented for a merchant ship application in a test case voyage through the Northern Atlantic Ocean and compared to the constant speed great circle solution.
引用
收藏
页码:215 / 224
页数:10
相关论文
共 50 条
  • [1] Optimization of Energy-efficient Train Operation Based on Dynamic Programming Approach
    Gao H.
    Zhang Y.
    Guo J.
    Zha Z.
    Zhang, Yadong (ydzhang@home.swjtu.edu.cn), 1600, Science Press (42): : 76 - 84
  • [2] ENERGY-EFFICIENT ENVIRONMENTALLY SAFE TECHNOLOGY OF COMBATING SHIP ICING
    Roenko, Vladimir V.
    Ischenko, Andrei D.
    Malygin, Igor G.
    Lozhkin, Vladimir N.
    MARINE INTELLECTUAL TECHNOLOGIES, 2019, 3 (03): : 94 - 100
  • [3] Data Freshness and Energy-Efficient UAV Navigation Optimization: A Deep Reinforcement Learning Approach
    Abedin, Sarder Fakhrul
    Munir, Md Shirajum
    Tran, Nguyen H.
    Han, Zhu
    Hong, Choong Seon
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 22 (09) : 5994 - 6006
  • [4] PARALLEL DYNAMIC-PROGRAMMING AND SHIP VOYAGE MANAGEMENT
    BARBIER, C
    SEN, P
    DOWNIE, M
    CONCURRENCY-PRACTICE AND EXPERIENCE, 1994, 6 (08): : 673 - 696
  • [5] A Dynamic Programming Technique for Energy-Efficient Multicore Systems
    Hajiamini, Shervin
    Shirazi, Behrooz
    Crandall, Aaron
    Ghasemzadeh, Hassan
    2018 NINTH INTERNATIONAL GREEN AND SUSTAINABLE COMPUTING CONFERENCE (IGSC), 2018,
  • [6] Two-Stage Optimization Method of Train Energy-Efficient Operation Based on Dynamic Programming
    Gao H.
    Zhang Y.
    Guo J.
    Li K.
    Xinan Jiaotong Daxue Xuebao/Journal of Southwest Jiaotong University, 2020, 55 (05): : 946 - 954
  • [7] Energy-efficient and safe conversion
    Choudhary, V.R.
    Uphade, B.S.
    Mulla, S.A.R.
    Angewandte Chemie (International Edition in English), 1995, 34 (06): : 665 - 666
  • [8] Energy-efficient Ship Route Optimization Considering Wind and Wave Impacts
    Ji M.-J.
    Hu H.-L.
    Gao Z.-D.
    Fang W.-W.
    Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology, 2023, 23 (06): : 274 - 283
  • [9] A decentralised linear programming approach to energy-efficient event detection
    Yuan, Kun
    Ling, Qing
    Tian, Zhi
    INTERNATIONAL JOURNAL OF SENSOR NETWORKS, 2015, 17 (01) : 52 - 62
  • [10] An Optimization Approach to Energy-Efficient Transmissions with Strict Deadlines
    Wang, Xin
    Nan, Zheng
    2013 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2013, : 216 - 220