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Designing a decision-support tool for the operational phase of an offshore wind farm installation project

Rombouts, Pim, P (2020) Designing a decision-support tool for the operational phase of an offshore wind farm installation project. Design Project, Industrial Engineering and Management.

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Abstract

Offshore wind energy is increasingly important in the current global market and accounted for a record 10% share of the total wind energy capacity growth in 2019. Van Oord is currently leading the way in this transition towards renewable energy, for which it is working on the installation of multiple offshore wind farms. Van Oord’s current approach to creating a planning for their complex offshore wind farm installation projects is by means of simulations in FlexSim, which is commercial-off-the-shelf software. Van Oord is currently in the R&D phase of an in-house simulation tool, but does not yet have an operational tool which can be used to optimise the planning of complex marine installation projects. In this design project, a decision-support tool (DST) has been developed, which is able to optimise the remainder of the planning of the ‘Saint-Brieuc project’ during the operational phase. The Saint-Brieuc project is an offshore wind farm installation project near the French coast. Van Oord will install 63 foundations, starting from 1 March 2021 and finishing in August 2022. The DST is focused on the second half of the Saint-Brieuc project, starting from the moment when a decision has to be made whether to stay operational or initiate the winter break and go idle due to poor weather conditions. The DST is able to incorporate the actual status of the project and the most recent weather forecast, including its uncertainty. In the DST, installation cycles consisting of 90 unique activities that all have specific durations, weather windows and weather limits have been incorporated. It is concluded that the DST has been successfully developed and its high accuracy and optimality have been proved.

Item Type: Thesis (Design Project)
Supervisor name: Mohebbi, M. and Bauso, D.
Degree programme: Industrial Engineering and Management
Thesis type: Design Project
Language: English
Date Deposited: 13 Oct 2020 08:00
Last Modified: 13 Oct 2020 08:00
URI: https://fse.studenttheses.ub.rug.nl/id/eprint/23489

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