A Ship Weather Routing Optimization Method Incorporating Ship Seakeeping Model

• Autorzy: Han Zhepeng , Zhou Yan , Zhang Jinfen , Wu Da

Identyfikatory

DOI

10.12716/1001.19.01.13

• Języki publikacji: EN

Abstrakty

EN

Weather routing problem represents one of the most significant advancements in ship energy conservation and emission reduction. Weather routing problems involve a numerous spatio-temporal ship motion states and weather characteristics, leading to challenges in consumption estimation and computational efficiency. To address this, an improved weather-state lattice-based method is first proposed, taking into account the ship's seakeeping model, weather characteristics, and consumption optimal control. The optimal energy conservation trajectory considering ship course under discrete motion states and weather characteristics is determined by optimal control and defined as motion primitives. Furthermore, the graph search method combined with the motion primitives is applied to generate the optimal energy trajectories. The results indicate that the framework can generate lower-consumption trajectories by leveraging weather-induced forces. Moreover, incorporating the seakeeping model into the weather routing framework not only enhances the accuracy of energy consumption estimation but also significantly improves the manoeuvrability of the generated trajectories.

Słowa kluczowe

EN

weather routing; ship manoeuvrability; path planning; optimization; ship motion; energy efficiency; seakeeping; ocean conditions

• Wydawca: Faculty of Navigation, Gdynia Maritime University
• Czasopismo: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
• Rocznik: 2025
• Tom: Vol. 19 No. 1
• Strony: 105--11
• Opis fizyczny: Bibliogr. 10 poz., rys., tab.

Twórcy

autor

Han Zhepeng

• Wuhan University of Technology, Wuhan, China

autor

Zhou Yan

• Beibu Gulf Port Co., Ltd., Nanning, China

autor

Zhang Jinfen

• Wuhan University of Technology, Wuhan, China

autor

Wu Da

• Wuhan University of Technology, Wuhan, China

Bibliografia

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• [5] Y.-H. Lin, M.-C. Fang, and R. W. Yeung, “The optimization of ship weather-routing algorithm based on the composite influence of multi-dynamic elements,” Appl. Ocean Res., vol. 43, pp. 184–194, Oct. 2013, doi: 10.1016/j.apor.2013.07.010.
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• [7] C. Zhang, D. Zhang, M. Zhang, J. Zhang, and W. Mao, “A three-dimensional ant colony algorithm for multi-objective ice routing of a ship in the Arctic area,” Ocean Eng., vol. 266, p. 113241, Dec. 2022, doi: 10.1016/j.oceaneng.2022.113241.
• [8] D. Mu, Z. Lang, Y. Fan, and Y. Zhao, “Time-varying encounter angle trajectory tracking control of unmanned surface vehicle based on wave modeling,” ISA Trans., vol. 142, pp. 409–419, Nov. 2023, doi: 10.1016/j.isatra.2023.07.025.
• [9] T. I. Fossen, “A NONLINEAR UNIFIED STATE-SPACE MODEL FOR SHIP MANEUVERING AND CONTROL IN A SEAWAY,” Int. J. Bifurc. Chaos, vol. 15, no. 09, pp. 2717–2746, Sep. 2005, doi: 10.1142/S0218127405013691.
• [10] N. Yang, D. Chang, M. Johnson-Roberson, and J. Sun, “Energy-Optimal Control for Autonomous Underwater Vehicles Using Economic Model Predictive Control,” IEEE Trans. Control Syst. Technol., vol. 30, no. 6, pp. 2377–2390, Nov. 2022, doi: 10.1109/TCST.2022.3143366.

Uwagi

1. Pełne imiona podano na stronie internetowej czasopisma w "Authors in other databases."

2. Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).