Energy Efficiency Measures in Ship Design and Operation
船舶設計と運航におけるエネルギー効率改善策 (AI 翻訳)
Rosemary Oluchi Paul-Okore, Moses Adondua Abah, Micheal Abimbola Oladosu, Amalagha Nengimote Godwin, Udom Evans Joel, Fabinu Azeez Akinwumi, Joshua Olasunkanmi, Ochuele Dominic Agida
🤖 gxceed AI 要約
日本語
本レビューは、船舶の設計段階（船体最適化、推進効率向上）と運航段階（速度最適化、気象ルーティング）におけるエネルギー効率改善策を体系的に整理する。IMOのEEDI、EEXI、CII規制への対応として、デジタル技術（リアルタイムモニタリング、デジタルツイン）の活用も含めた総合的アプローチの重要性を論じる。設計・運航・デジタル化の相乗効果が、ライフサイクル全体のエネルギー節約に寄与することを示す。
English
This review systematically synthesizes energy efficiency measures in maritime transport across design (hull optimization, propulsion) and operation (speed optimization, weather routing, just-in-time arrival). It highlights digital technologies (real-time monitoring, digital twins) as enablers for continuous improvement and compliance with IMO regulations (EEDI, EEXI, CII). A holistic systems approach combining design excellence, operational discipline, and digital intelligence is argued as essential for lifecycle energy savings and decarbonization.
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
日本は世界有数の海運国であり、IMO規制（特にEEXI、CII）への対応は喫緊の課題。本レビューは実務的な対策を網羅しており、日本の海運企業や造船所が取り組むべき優先順位の判断に資する。
In the global GX context
Maritime decarbonization is a global challenge under IMO's revised GHG strategy. This review provides a structured overview of commercially available and near-term measures, relevant for shipowners, operators, and regulators worldwide who seek cost-effective compliance pathways.
👥 読者別の含意
🔬研究者:Provides a structured synthesis of energy efficiency measures, useful as a reference for maritime energy system modeling and policy analysis.
🏢実務担当者:Ship operators and designers can use this review to identify priority measures for fuel savings and regulatory compliance (EEDI, EEXI, CII).
🏛政策担当者:Highlights the potential of operational and design measures for near-term GHG reductions, informing IMO and national maritime climate policies.
📄 Abstract（原文）
The maritime transport sector remains a cornerstone of global trade while contributing substantially to anthropogenic greenhouse gas (GHG) emissions and fuel consumption. As regulatory ambition intensifies under the framework of the International Maritime Organization, energy efficiency has emerged as the most immediate, scalable, and cost-effective pathway toward near-term decarbonization. This review presents a structured and systems-oriented synthesis of energy efficiency measures spanning ship design, propulsion technologies, onboard energy management, operational strategies, and digital performance optimization. Design-phase interventions are examined through advances in hull-form optimization, hydrodynamic drag reduction, structural lightweighting, propeller–hull interaction enhancement, and high-efficiency propulsion architectures. The review further evaluates hybridization pathways, alternative fuel readiness, wind-assisted propulsion, and battery integration as transitional solutions that complement efficiency gains. At the operational level, measures including speed optimization, weather routing, trim and ballast management, predictive maintenance, and just-in-time port arrival are assessed for their measurable impact on fuel intensity and carbon performance. The enabling role of digitalization encompassing real-time monitoring, data analytics, and digital twins is critically analyzed as a mechanism for continuous improvement and regulatory compliance under instruments such as EEDI, EEXI, and CII. By integrating technical, operational, and data-driven dimensions, this review highlights synergistic strategies capable of delivering substantial lifecycle energy savings. It argues that sustained maritime decarbonization requires a holistic systems approach in which design excellence, operational discipline, and digital intelligence function as mutually reinforcing components of energy performance optimization.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.47587/cesa.2026.6201first seen 2026-06-29 06:20:55
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