Title
Energy Efficiency - The Data-driven Decision Support System Perspective: A Case Study About Long Distance Towage for Boskalis
Author
van Nie, Casper (TU Delft Mechanical, Maritime and Materials Engineering)
Contributor
Frouws, J.W. (mentor)
Steentjes, Gaby (graduation committee)
Hopman, J.J. (mentor)
Degree granting institution
Delft University of Technology
Programme
Marine Technology | Ship Design, Production and Operations
Date
2019-04-30
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.
Subject
Energy Efficiency
Low Carbon Shipping
Data-driven
Decision Support System
To reference this document use:
http://resolver.tudelft.nl/uuid:db6b7d31-3f65-4b68-8ee4-9f70c7db4324
Embargo date
2024-05-01
Coordinates
51.9, 4.5
Part of collection
Student theses
Document type
master thesis
Rights
© 2019 Casper van Nie