Routing and scheduling of maintenance support vessels for an offshore wind and solar farm

Master thesis (2022)

Authors

J.H. Hablé Mechanical Engineering

Contributors

X. Jiang Transport Engineering and Logistics - Mechanical, Maritime and Materials Engineering (supervisor 1)
R.R. Negenborn Transport Engineering and Logistics - Mechanical, Maritime and Materials Engineering (supervisor 2)
A. Coraddu Ship Design, Production and Operations - Mechanical, Maritime and Materials Engineering (supervisor 2)
Iana Bakhmet TNO Energy Transition (supervisor 1)
Faculty
Mechanical Engineering
Copyright: © 2022 Joelle Hablé
Optimization Offshore Wind Energy Operation & maintenance Routing and Scheduling Offshore Solar Energy Maintenance vessels
More Info
expand_more

Published Date

16-06-2022

Language

English

Reuse Rights

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.

Faculty

Mechanical Engineering

Abstract

Floating photovoltaic (FPV) is an emerging concept. Potential is recognized in combining FPV and off­ shore wind farms to create an offshore wind and solar farm. One of the remaining uncertainties around the potential of an offshore wind and solar farm is the value of the operations and maintenance cost. As one of the main contributing factors to operations and maintenance costs of offshore wind farms is the accessibility, integration of the transport for maintenance of the wind turbines and solar units can minimize the costs. By means of a route and scheduling optimization tool the optimal route and sched­ ule of maintenance support vessels for a virtual OWSF is investigated. The research indicates that the optimal route and schedule of maintenance support vessels for a virtual OWSF does not include integration of the transport. The main reason is the low costs of an RHIB compared to the cost of a CTV or SOV. However, the optimal route and schedule is very case dependent. Thus recommended is to apply the model to multiple case studies to form a general conclusion.