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Appl. Sci. 2019, 9(2), 278; https://doi.org/10.3390/app9020278

Decision Support Models for Operations and Maintenance for Offshore Wind Farms: A Review

Department of Civil and Environmental Engineering, Norwegian University of Science and Technology NTNU, NO-7491 Trondheim, Norway
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Received: 11 December 2018 / Revised: 31 December 2018 / Accepted: 4 January 2019 / Published: 14 January 2019
(This article belongs to the Special Issue Offshore Wind Energy)
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Abstract

This paper reviews the state of the art in offshore wind farm operations and maintenance with a focus on decision support models for the scheduling of maintenance. Factors influential to maintenance planning are collected from the literature and their inclusion in state-of-the-art models is discussed. Methods for modeling and optimization are presented. The methods currently used and possible alternatives are discussed. The existing models are already able to aid the decision-making process. They can be improved by applying more advanced mathematical methods, including uncertainties in the input, regarding more of the influential factors, and by collecting, analyzing, and subsequently using more accurate data. View Full-Text
Keywords: maintenance scheduling; decision support; offshore wind; review; operation and maintenance; failure modeling; weather modeling; reliability data; vessel routing; maintenance cost maintenance scheduling; decision support; offshore wind; review; operation and maintenance; failure modeling; weather modeling; reliability data; vessel routing; maintenance cost
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Seyr, H.; Muskulus, M. Decision Support Models for Operations and Maintenance for Offshore Wind Farms: A Review. Appl. Sci. 2019, 9, 278.

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