Decision Support Models for Operations and Maintenance for Offshore Wind Farms: A Review
Source abstract
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.
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Research context
OpenAlex topics: Reliability and Maintenance Optimization · Machine Fault Diagnosis Techniques · Manufacturing Process and Optimization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Civil and Environmental Engineering, Norwegian University of Science and Technology NTNU, NO-7491 Trondheim, Norway
Funding
H2020 Marie Skłodowska-Curie Actions
References (100+)
Show source-provided references
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