Data-driven framework with theoretical modelling to evaluate fuel savings through air lubrication system

• Published in: Ocean engineering 2025-01, Vol.316, p.119920, Article 119920
• Main Authors: Kim, Daehyuk, Rhee, Shin Hyung
• Format: Article
• Language: English
• Subjects: Air lubrication system (ALS); Data-driven framework; Energy saving technology; Fuel consumption; Operational data; Theoretical modelling
• ISSN: 0029-8018
• DOI: 10.1016/j.oceaneng.2024.119920

This study introduces a data-driven and theoretical framework to evaluate the Air Lubrication System (ALS) in maritime operations, analyzing its impact on fuel consumption under varied conditions. The operational data from three 325k series ships is used to examine ALS performance over operational scenarios, including different drafts and speeds. The Partial Cavity Drag Reduction (PCDR) model consistently outperformed the Air Layer Drag Reduction (ALDR) model, providing an average fuel consumption savings of 10–15%. Notably, ALS demonstrated enhanced effectiveness at operational speeds above the critical threshold speed of about 9 knots, defined as the minimum speed at which ALS begins to yield net positive energy savings. Additionally, increased draft conditions significantly influenced ALS efficiency; higher drafts increased the compressor power required, reducing the net savings, with net power savings of up to about 4000 kW (approximately 25% reduction in power consumption). This comprehensive evaluation highlights the pivotal role of operational speed and draft in optimizing ALS performance. The integration of data-driven analytics with theoretical insights significantly strengthens the evaluation process, offering a powerful approach that substantiates the ALS's potential to reduce fuel consumption and meet stringent environmental standards, thus providing crucial operational insights for maritime operators. •Introduces a data-driven and theoretical framework for evaluating Air Lubrication Systems (ALS) in maritime operations.•Demonstrates 10–15% average fuel savings, with up to 25% power reduction using the PCDR model under optimal conditions, using operational data from 325k series bulk carriers.•Identifies critical operational speed thresholds (8–9 knots) for maximizing ALS efficiency.