Offshore Wind Farm Installation Planning

Decision-support tool for the analysis of new installation concepts

Master Thesis (2019)
Author(s)

M. Semenyuk (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

M B Zaayer – Mentor (TU Delft - Wind Energy)

M Reinders – Mentor (Siemens Gamesa Renewable Energy)

S.J. Watson – Graduation committee member (TU Delft - Wind Energy)

E. Lourens – Graduation committee member (TU Delft - Dynamics of Structures)

Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright
© 2019 Maksym Semenyuk
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 Maksym Semenyuk
Graduation Date
08-07-2019
Awarding Institution
Delft University of Technology
Programme
['Electrical Engineering | Sustainable Energy Technology']
Faculty
Electrical Engineering, Mathematics and Computer Science
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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
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