風力支援型貨物船の航路・速度最適化による省エネ実現
Enabling Energy Savings for Wind-Assisted Cargo Vessels Through Route and Speed Optimization (原題)
Thorben Schwedt, Dheeraj B. Gosala, Tobias Lampe, Annika Fitz, T. Teske, S. Stutz, Lars Schmitz, Vaidehi Gosala, Marco Klein, Sören Ehlers
🤖 gxceed AI 要約
日本語
風力支援推進システム（WAPS）を搭載した貨物船について、航路と速度を同時最適化するアルゴリズムを開発した。ERA5気象データを用いた4自由度定常シミュレーションで性能を評価し、確率的ロードマップ法と動的計画法を組み合わせてエネルギー最適航路を導出。大西洋横断ケースで平均約70%、最大100%のエネルギー削減を達成した。
English
This study develops a route and speed optimization algorithm for cargo vessels equipped with Wind-Assisted Propulsion Systems (WAPS). Using a four-degree-of-freedom steady-state simulation with ERA5 weather data, it combines probabilistic roadmap and dynamic programming to find energy-optimal routes. Case studies show average energy savings of ~70%, reaching up to 100% on trans-Atlantic crossings.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
海運の脱炭素はScope 3排出量の削減に直結し、荷主企業のサプライチェーン排出管理や投資家対応において重要。日本は海運大国であり、本研究成果は国内海運企業の省エネ戦略や国際競争力強化に寄与しうる。
In the global GX context
Shipping decarbonization is critical for global Scope 3 reduction and transition finance. This work offers a practical optimization framework for wind-assisted vessels, supporting IMO targets and corporate climate disclosure on supply chain emissions.
👥 読者別の含意
🔬研究者:風力支援船の運航最適化におけるアルゴリズム設計と省エネ評価手法の参考になる。
🏢実務担当者:海運・物流企業のScope 3削減や燃料コスト低減に向けた運航改善の示唆を得られる。
🏛政策担当者:IMOのGHG削減戦略や国内海運政策における風力推進技術の促進に資する。
📄 Abstract（原文）
The shipping industry is currently confronted with significant challenges in reducing greenhouse gas emissions, making the adoption of low-carbon technologies imperative for the achievement of global decarbonization targets. Wind-Assisted Propulsion Systems (WAPS) are increasingly recognized as a promising means of exploiting the abundant wind resource, particularly given the high cost and limited availability of renewable fuels. Contemporary WAPS are integrated with onboard energy systems to satisfy stringent supply chain requirements, with recent developments emphasizing larger sail configurations and hydrogenerator integration to enhance overall efficiency. Unlike conventionally powered ships, which typically follow predetermined routes at constant speed, wind-assisted vessels benefit from a more flexible operational paradigm in which routing and speed adaptation are key to realizing their full potential. In the present study, the potential of optimizing both route and speed for a cargo vessel equipped with WAPS is investigated. A four-degree-of-freedom steady state simulation model is employed to evaluate vessel performance under varying environmental conditions based on ERA5 data. To identify energy-optimal routes between ports, a dedicated algorithm is developed and presented that combines probabilistic roadmap techniques with dynamic programming. The case study demonstrated average energy savings of approximately 70 %, and up to 100 % for trans-Atlantic crossings.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1115/omae2026-180382first seen 2026-10-01 05:32:30 · last seen 2026-10-02 05:32:49
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