Energy-Efficient Cooling System Control in Ship Engine Rooms Using an Intelligent Integrated Automation, Control, and Monitoring System (IACMS)
知能統合自動化・制御・監視システム(IACMS)を用いた船舶機関室内のエネルギー効率的な冷却システム制御 (AI 翻訳)
Wojciech Skarbierz, Karol Graban, R. Wnuk, A. Łebkowski
🤖 gxceed AI 要約
日本語
本論文は、船舶エンジンルームの補機類を省エネ運用するためのIACMSを提案・実証。実験室で90.5%、実船試験で84.6～86.0%の消費電力削減を達成し、CO2排出を1日あたり約0.5トン削減した。システムは予知保全も統合し、ポーランド船級協会の認証を取得。海事分野の脱炭素化に貢献するスケーラブルなソリューションである。
English
This paper presents an Intelligent Integrated Automation, Control, and Monitoring System (IACMS) for energy-efficient operation of ship engine room auxiliary machinery. Laboratory tests achieved 90.5% energy reduction, and full-scale trials on a Ro-Pax ferry showed 84.6-86.0% savings, reducing CO2 emissions by about 0.5 tons/day. The system integrates diagnostics and predictive maintenance, is certified by the Polish Register of Shipping, and offers a scalable solution for maritime 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
日本の海事産業にとって、エネルギー効率向上とCO₂削減は国際競争力維持の鍵。本論文のIACMSは実船検証済みの省エネ手法であり、日本船社への導入可能性が高い。また、IMOの短期・中期対策との親和性も期待される。
In the global GX context
For the global maritime industry facing IMO decarbonization targets, this paper provides a validated, certifiable system that yields double-digit energy savings. It demonstrates that intelligent control of auxiliary machinery can be a practical, cost-effective measure to reduce emissions from existing ships.
👥 読者別の含意
🔬研究者:This work offers a benchmark for energy efficiency in marine auxiliary systems and a testbed for integrating predictive maintenance with real-time optimization.
🏢実務担当者:Ship operators can directly apply the IACMS architecture to reduce fuel costs and emissions, with clear savings metrics from full-scale trials.
🏛政策担当者:Regulators should note that proven, low-cost energy efficiency measures like IACMS exist for existing ships, supporting tighter emission standards.
📄 Abstract（原文）
This paper presents the results of research on an innovative, integrated IACMS (Intelligent Integrated Automation, Control, and Monitoring System), developed for energy-efficient operation of auxiliary machinery in ship engine rooms. The system, validated both in the laboratory and during full-scale operation on the MF Skania Ro-Pax ferry, integrates process monitoring, diagnostics, predictive maintenance, and intelligent energy optimization within a unified control architecture. This approach enables a significant reduction in electricity consumption while maintaining thermal safety and operational reliability. Laboratory tests focused on a pump cooling system with PLC and frequency converter control, achieving a 90.5% reduction in energy consumption compared to conventional constant-speed operation. During full-scale validation, the IACMS managed the seawater pump via adaptive frequency control (30–60 Hz). Two consecutive voyages demonstrated energy savings of 84.6% and 86.0%, with a daily energy reduction of 0.84 MWh, resulting in a decrease of approximately 0.5 tons of CO2 emissions per day. Additionally, an observed reduction of about 6–7% in daily generator-set energy was recorded during the analyzed period; this vessel-level value is indicative, as the generator supplies multiple onboard consumers. All trials confirmed stable cooling system temperatures, and comprehensive diagnostics revealed no negative impact of inverter control on the technical condition of equipment. The findings indicate that IACMS is a universal and scalable tool for improving energy efficiency and enabling predictive maintenance in ship engine room auxiliary systems. The system was positively validated in commercial operation and certified by the Polish Register of Shipping, confirming its technological maturity and readiness for widespread adoption in the maritime industry. The results pave the way for further deployments of intelligent energy management solutions in shipping, supporting maritime decarbonization goals.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.3390/en19030734first seen 2026-06-29 06:25:46
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