Research on Marine Fuel Usage Prediction Systems

Research will be conducted to determine the best way to visualize and operationalize engine performance data collected in real-time for vessel owners and operators. Performance data will be correlated to weather and sea conditions to understand their impacts on fuel usage and emissions. 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:

Christopher Whidden

Student:

Partner:

Glas Ocean Electric

Discipline:

Computer science

Sector:

Professional, scientific and technical services; Wholesale trade

University:

Dalhousie University

Program: