Offshore Wind Farm Installation Planning

Decision-support tool for the analysis of new installation concepts

Master thesis (2019)

Authors

M. Semenyuk Electrical Engineering, Mathematics and Computer Science

Contributors

M B Zaayer Wind Energy - Aerospace Engineering (mentor)
M Reinders Siemens Gamesa Renewable Energy (mentor)
S.J. Watson Wind Energy - Aerospace Engineering (graduation committee member)
E. Lourens Dynamics of Structures - CEG (graduation committee member)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright: © 2019 Maksym Semenyuk
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Published Date

08-07-2019

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

In order to assist project developers in efficient offshore wind farm installation planning a decision-support tool has been developed. The tool combines Discrete Event Simulation and Black-box Optimization. The focus of the development was on providing the flexibility allowing a user to compare various installation strategies and impact on the total installation cost and vessel workability. Synthetic weather generation with Markov Chains was implemented in order to account for weather effects. Recomendations have been given for weather modelling (for the purpose of installation planning) and for applying different families of black-box optimization algorithms.

Files

Thesis_public.pdf
(pdf | 14.7 Mb)
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Appendix_A.pdf
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