Energy Efficiency - The Data-driven Decision Support System Perspective
A Case Study About Long Distance Towage for Boskalis
C.S. van Nie (TU Delft - Mechanical Engineering)
JW Frouws – Mentor (TU Delft - Ship Design, Production and Operations)
Gaby Steentjes – Coach
Hans Hopman – Mentor (TU Delft - Marine and Transport Technology)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
Abstract
The data-driven decision support system gives a competitive advantage by the cost-effective improvement of the fleet’s energy efficiency and by the controlled compliance with the IMO Greenhouse Gas Reduction Strategy. The conceptual Business Intelligence Design provides the foundation for data-driven decision support about energy efficiency for the entire Offshore Energy fleet. Boskalis Long Distance Towage department can cost-effectively improve their energy efficiency by 40% toward 2030 with respect to 2008 and thereby fully comply with the outlines of the IMO Greenhouse Gas Reduction Strategy. Boskalis offshore energy is recommanded to implement a Data-driven Decision Support System to manage the cost-effective energy efficiency improvement and the reduction of carbon emission. The organisational awareness and willingness to improve is a prerequisition for successful implementation.