Operational efficiency gains can only become a reality if the complex interactions between all the operational variables from a vessel can be identified, optimized and measured.
The performance model is created using vessel operational data, AIS, weather and sea-state data and is the basis for how GreenSteam identifies the inefficiencies that contribute to your fuel wastage.
We provide you with either predictive advice on how to operate a vessel more efficiently, or as dynamic advice in real-time to alert the crew on the bridge.
GreenSteam Capture reads fuel flow meters where automatic data logging is not available and is the critical tool for eliminating manually recorded errors. It generates accurate fuel consumption data enabling operators and charterers to take remedial action and improve performance in real time.
Deep dive into your vessels’ performance with the Discover service. See how an individual vessel or the entire fleet is performing and make informed decisions as to which GreenSteam services you need to improve performance and reduce fuel wastage.
Bringing together our unique machine learning platform with your data, Fouling Analyzer provides you with the most accurate analysis of hull condition available. All events and trends are shown clearly on graphs enabling you to make informed business decisions.
Gain insight into the optimum trim of a vessel with our easy to read heat-map. Improve loading cargo and adjust water ballast for the best trim, for the best fuel efficiency, for every voyage.
Enable your crew to maintain optimal vessel trim for fuel efficiency throughout a voyage. This service reacts dynamically to changes in the environment and provides accurate advice on how to best trim the vessel.
Control vessel’s speed profile over the entire voyage to manage your fuel needs most efficiently. It takes account of weather and sea states, the vessel’s set up and the voyage being undertaken to provide real time advice to the crew on the best speed to meet their target arrival and minimize fuel wastage.