Improving energy efficiency by making the right operational decisions requires a good quality of performance data, a thorough understanding of the drivers of uncertainty in key variables suchlike as vessel speed and fuel consumption, and state of the art decision-support tools. While the volume and quality of empirical data is increasing, models of ship performance remain largely theoretical and unable to account for the high uncertainty in multiple drivers - physical, technical and commercial - of real-life speeds and fuel consumption. 

The objective of REEalSea is to bridge the gap between ship performance data and decision-support tools, using state-of-the art statistical analysis and stochastic optimisation models.