Pairing Meteorological and Power Data for Marine Hybrid Electric Boats

Research will be conducted to determine the best way to visualize and operationalize electric and diesel engine performance data collected in real-time for vessel owners and operators. The boats involved in this research work are candidates for using hybrid electric/diesel drive. The methods of displaying data will be explored to determine the best way to visualize the interaction of the various data points in real time. The goal is to research the characteristics of a “fit-bit” for a vessel, tracking vessel performance and supplying feedback in real-time. Prior research has shown that feedback on the fuel use of a vessel in real time can cause a reduction in fuel use of 15%.

Faculty Supervisor:

Wayne Groszko;Christopher Whidden


Mohamed Muzamil H;Rex Ramos


Glas Ocean Electric


Computer science


Professional, scientific and technical services




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