Prediction of Ship Fuel Consumption and Speed Curve by Using Statistical Method

Vessel fuel consumption has emerged as one of the key contributors to environmental deterioration and rising operational cost to the maritime industry. In practice, fuel efficiency can be achieved by design or operational approaches in newly designed or in-service vessels. In this paper, multiple linear regression (MLR) method is used to construct the fuel efficiency profile of working tugboats. Performance curves are derived to analyze and monitor the performance of on-cruising vessel. A Fuel Consumption Analysis System is developed for vessel operators to monitor fuel consumption in real-time and operate the vessel at economy speed for optimum fuel efficiency. Practicality and usability of the software are demonstrated using two sets of real operational data for a vessel in ballast and laden voyages. The proposed system has been verified using historical operational data revealing that up to 37.1% fuel saving can be achieved.