AI-Driven Vessel Idle Management: Retrofittable Start-Stop System For Emissions Reduction And Operational Optimization

This paper presents a scalable, AI-integrated technology to reduce fuel consumption and carbon emissions in offshore vessel operations through automated idle management. Idle management enables retrofitting existing diesel-driven propulsion and auxiliary engines with an intelligent start-stop system. The scope includes integration into offshore logistics fleets, operational impact evaluation, and system performance validation in real-world oil & gas environments. Idle Management uses lithium-ion battery technology and AI-based control logic to manage vessel engine idle periods dynamically. It is deployed in the three retrofit phases Installation on propulsion engines for automated standby/restart.Hybridization with auxiliary systems including AC/DC conversion and battery integration.Shore power connectivity enabling full engine shutdown during port stays. The system is complemented by integration with a telematics and data platform for live performance monitoring. The methodology involves field trials on offshore support vessels (OSVs), tracking engine runtime, fuel consumption, carbon dioxide equivalent CO2e output, and operational efficiency metrics using real-time telematics data. Initial deployments on OSVs operating under unsteady load profiles demonstrated significant reductions in idle time and fuel use. One use case showed a reduction of 7,200 engine hours annually, saving 250,000 liters of, equating to 700 metric tons of CO2e avoided per vessel. The automation of standard operating procedures (SOPs) minimized human error and reduced operator workload, transitioning them to supervisory roles. Idle management also improved engine longevity by reducing cold starts and unnecessary runtime. Additionally, integration with existing control systems allows performance validation, supporting compliance with environmental regulations and customer-specific fuel reduction goals. Results indicated an increase in operational uptime (WT, PT), reduced downtime (DT), and enhanced asset availability. The full implementation of all three retrofit phases enables vessels to transition toward hybrid operation and eventual full electrification, aligning with Net Zero targets. The modularity and ease of integration of idle management makes it suitable for large-scale adoption across the offshore logistics sector. This paper introduces a commercially viable, retrofit-ready technology combining AI control, battery systems, and automated SOP execution to tackle fuel and emissions inefficiencies in marine operations. Unlike conventional idle reduction methods, idle management delivers measurable, verifiable benefits through telematics integration. It provides a pathway for decarbonizing existing offshore assets without full equipment replacement—bridging current operations with future hybrid and zero-emission standards.