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予測燃焼モデリングからリアルタイム発電所デジタルツインへ:低炭素舶用エンジンのための統合的合成フレームワーク

From predictive combustion modeling to real-time power plant digital twins: An integrated synthesis framework for low-carbon marine engines (原題)

Maciej Mikulski, Amin Mahmoudzadeh Andwari, Jari Hyvönen

International Journal of Engine Research📚 査読済 / ジャーナル2026-09-12#エネルギー転換Origin: EU経営インパクト: コスト削減対象セクター: transport
DOI: 10.1177/14680874261485432
原典: https://doi.org/10.1177/14680874261485432

🤖 gxceed AI 要約

日本語

CASEMATEフレームワークの下、燃料柔軟な化学反応機構からUVATZ多領域燃焼、1次元エンジン解析、FMUモジュール化、MBSEまでを階層的に統合した舶用エンジン開発手法を提示。RCCI燃焼の熱・排出トレードオフ、水素富化燃焼制御、既存ディーゼル機関のレトロフィット、発電所デジタルツインへの応用を事例で示す。実験反復への依存を減らしつつ物理的解釈性を保つ経路を描くが、アンモニア経路やNH3スリップ等は今後の課題として残る。

English

This paper synthesizes the CASEMATE modeling framework, a traceable hierarchy from fuel-flexible chemical kinetics and multi-zone combustion to 1D engine simulation, model reduction, FMU modularization, and MBSE workflows for low-carbon marine engines. Case studies cover RCCI thermal-emissions trade-offs, hydrogen-enriched combustion control, diesel retrofit potential, and real-time power plant digital twins. It offers a pathway from fundamental combustion modeling to system-level validation, while noting gaps in ammonia pathways, NH3 slip, N2O, and transient effects.

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

日本は舶用エンジン・造船で世界シェアを持ち、IMOのGHG規制や代替燃料(水素・アンモニア)対応が海運・重工各社の経営課題。本フレームワークは国内メーカーの低炭素エンジン開発・レトロフィット検討に直接資する。SSBJ開示とは直接連動しないが、Scope 3上流の舶用燃料転換の技術的裏付けとなる。

In the global GX context

Marine decarbonization sits at the intersection of IMO GHG strategy and corporate transition planning, and this synthesis offers a modeling architecture relevant to fuel-flexible engine development and retrofit decisions. It complements disclosure-side work (TCFD/ISSB) by providing the engineering evidence base for shipping-related transition pathways and alternative-fuel readiness.

👥 読者別の含意

🔬研究者:燃焼モデリングからデジタルツインまでの階層的モデル統合手法と、RCCI・水素富化燃焼の検証範囲を整理した参照枠を提供する。

🏢実務担当者:既存ディーゼル機関のレトロフィットや代替燃料対応の検討において、実験前のシミュレーション評価に活用できる。

🏛政策担当者:IMO規制や代替燃料インフラ政策の設計において、舶用エンジンの技術的実現可能性と残課題を把握する材料となる。

📄 Abstract(原文)

The transition toward low- and zero-carbon marine power systems requires engine development methods that can evaluate alternative fuels, advanced combustion modes, thermal constraints, control strategies, and system-level interactions before extensive experimental implementation. This paper synthesizes the main modeling developments established within the Computationally Aided Systems Engineering for Marine Advanced Technology for The Environment (CASEMATE) framework for simulation-driven development of next-generation marine engines. The framework is organized as a traceable model hierarchy linking fuel-flexible chemical mechanisms, UVATZ-based multi-zone combustion simulation, spray and stratification modeling, combustion–thermal coupling, one-dimensional engine simulation, fast-running model reduction, functional mock-up unit modularization, and model-based systems engineering workflows. At the combustion level, the framework consolidates predictive submodels for multi-fuel Reactivity controlled compression ignition (RCCI) operation, with engine-level validation concentrated mainly on diesel–natural-gas and hydrogen-enriched RCCI cases, while ammonia-related pathways are treated at the chemical-kinetic validation level. At the engine level, these models are coupled with multi-cylinder and air-path simulations to support performance and emissions optimization under realistic boundary conditions. At the system level, reduced-order and real-time-capable representations enable hardware-in-the-loop deployment and hybrid power plant digital twin applications. Representative case studies demonstrate the use of the framework for analyzing thermal-emissions trade-offs in RCCI combustion, hydrogen-enriched combustion control, retrofit potential of existing diesel platforms, and MBSE-compatible power plant simulation. The synthesis shows that the integrated framework provides a pathway from fundamental combustion modeling to real-time system-level validation, reducing reliance on sequential experimental iteration while preserving the physical interpretability required for engineering decision-making. The framework should be interpreted as a synthesis of implemented and partially coupled model components rather than as a single fully automated end-to-end software package. Remaining challenges include generalization beyond RCCI-dominated combustion modes, broader marine-engine validation of hydrogen-rich and ammonia-containing operation, improved treatment of NH 3 slip, N 2 O, NOx, spray-wall interaction, and transient effects, and further automation of requirement-driven model configuration for industrial deployment.

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