Energy Efficiency - The Data-driven Decision Support System Perspective

A Case Study About Long Distance Towage for Boskalis

Master thesis (2019)

Authors

C.S. van Nie Mechanical Engineering

Contributors

J.W. Frouws Ship Design, Production and Operations - Mechanical, Maritime and Materials Engineering (supervisor 1)
Gaby Steentjes (coach)
J.J. Hopman Marine and Transport Technology (supervisor 1)
Faculty
Mechanical Engineering
Copyright: © 2019 Casper van Nie
Energy Efficiency Decision Support System Data-driven Low Carbon Shipping
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Published Date

30-04-2019

Language

English

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Faculty

Mechanical Engineering

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.