Simulation-Based Energy Optimization Through Maneuvering Prediction for Complex Passenger Ships: Results from the SimPleShip-SigMa Project
複雑な旅客船における操船予測に基づくシミュレーション主導のエネルギー最適化：SimPleShip-SigMaプロジェクトの成果 (AI 翻訳)
G. Finger, M. Gluch, M. Baldauf, G. Milbradt, S. Fischer, Matthias Kirchhoff
🤖 gxceed AI 要約
日本語
本論文は、複雑な旅客船の操船時のエネルギー需要を最適化するシミュレーションフレームワークを提案する。リアルタイムシミュレーション、エンジンモデリング、FMU/FMIによるデータ連携を統合し、航海と機関の結合シミュレーションを実現。バーチャルクルーズ船シナリオで検証し、乗組員訓練や自動化への応用を示す。
English
This paper presents a simulation-based framework for optimizing energy demand during ship maneuvering. It integrates real-time ship motion simulation, thermodynamic engine modeling, and hybrid data exchange via FMU/FMI. Validated through a virtual cruise ship scenario, the method supports energy-efficient decision-making and has potential for crew training and gradual automation.
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
日本は海運大国であり、IMOのGHG削減目標に対応するため、船社は運航効率向上が急務。本フレームワークは操船時のエネルギー最適化を支援し、日本船社の省エネ運航やデジタルツイン開発に応用可能。
In the global GX context
The IMO targets for decarbonization push for operational efficiency in shipping. This modular simulation framework linking hydrodynamics and thermodynamics offers a practical path toward energy-optimized maneuvering, aligning with global trends in digital twins and automated sustainable shipping.
👥 読者別の含意
🔬研究者:A modular simulation framework linking ship motion and engine models for energy optimization; useful for developing digital twins in maritime research.
🏢実務担当者:Ship operators can use the approach to reduce fuel consumption during maneuvering, especially in confined waters.
🏛政策担当者:Supports IMO's energy efficiency regulations by providing a validated method for operational optimization; relevant for policy on digitalization in shipping.
📄 Abstract（原文）
The decarbonization of shipping and the transformation towards digitally assisted or automated ship operation require new methods to analyze, predict, and optimize energy demand during maneuvering. The SimPleShip-SigMa sub-project of Hochschule Wismar developed and validated a comprehensive simulation-based framework combining real-time capable fast-time simulation of ship motion, detailed thermodynamic engine modeling, and hybrid data exchange via Functional Mock-up Units (FMU/FMI). The approach enables consistent coupling between navigation-related and machinery-related simulations and supports energy-optimized decision-making on the bridge. Operational relevance and validation of use cases were supported through collaboration with Carnival Maritime GmbH, providing practical feedback on large passenger-ship operations. The study presents the architecture of the simulation environment, the implementation of energy- and emission-prediction models, and the result of validation runs and simulator-based trials. The developed method was applied to a virtual cruise-ship scenario representing a confined coastal environment similar to the Geiranger Fjord. The work builds upon earlier research on simulation-augmented maneuvering and extends it toward a modular digital-twin concept linking hydrodynamic and thermodynamic models. The paper concludes with an outlook on applying the system for crew training, on-board support, and gradual automation of sustainable ship operations.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.3390/jmse14040387first seen 2026-06-29 06:20:39
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