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VESSEL FLEET OPTIMISATION FOR OFFSHORE WIND POWER MAINTENANCE
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences.
2017 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Wind power has been a leading energy source in the renewable energy sector. The offshore wind power industry is rapidly growing, having the advantages of great wind resources, with minimum impact on residential areas; however, the high O&M costs add significantly to the LCOE, and present a challenge to the project developers and operators. The objective of this Thesis is to develop an optimisation method aiming to optimise the O&M vessel fleet in terms of its size and mix, and implement it into a spreadsheet-based tool. At first, a review on the available literature was conducted, in order to establish the theoretical background on the topics of maintenance, optimisation and O&M vessels, and identify the O&M strategies used in offshore wind power. The optimisation method developed focuses on the implementation of different O&M strategies,and is mainly based on the vessel contracts strategy, which aims to acquire lease contracts of various vessel types, including helicopters, available in the market to support the maintenance activities of an offshore wind farm. The model developed consists of calculation modules and introduces a 5-stage weather data filtering process for the estimation of the operational weather window, a WT components' failures forecast method, and a 2-stage optimisation process. The model was applied on a case study of a fictitious offshore wind farm, by using measured and realistic input data, in order to examine its efficacy. The model's outputs generated presented the optimal O&M vessel fleet for three different scenarios (mean, best case, and worst case), together with the optimal allocation of the failure repairs to each O&M vessel, and the corresponding O&M costs.

Place, publisher, year, edition, pages
2017. , p. 65
Keyword [en]
Wind, Energy, Offshore, Maintenance, Optimisation, Optimization, Vessels, O&M
National Category
Energy Systems Other Environmental Engineering Other Engineering and Technologies not elsewhere specified Earth and Related Environmental Sciences
Identifiers
URN: urn:nbn:se:uu:diva-332005OAI: oai:DiVA.org:uu-332005DiVA, id: diva2:1151086
Educational program
Master Programme in Wind Power Project Management
Presentation
2017-09-25, E22, Cramérgatan 3, Visby, 09:45 (English)
Supervisors
Examiners
Available from: 2017-10-23 Created: 2017-10-21 Last updated: 2017-10-23Bibliographically approved

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Department of Earth Sciences
Energy SystemsOther Environmental EngineeringOther Engineering and Technologies not elsewhere specifiedEarth and Related Environmental Sciences

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CiteExportLink to record
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Citation style
  • apa
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Output format
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