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

Autor: Michael Muskulus, Helene Seyr
Rok vydání: 2019
Předmět:
operation and maintenance
Decision support system
decision support
Operations research
Process (engineering)
Computer science
020209 energy
reliability data
review
Scheduling (production processes)
020101 civil engineering
02 engineering and technology
lcsh:Technology
0201 civil engineering
lcsh:Chemistry
weather modeling
0202 electrical engineering
electronic engineering
information engineering
General Materials Science
offshore wind
lcsh:QH301-705.5
Instrumentation
Fluid Flow and Transfer Processes
lcsh:T
Process Chemistry and Technology
maintenance cost
General Engineering
Weather modeling
Maintenance planning
lcsh:QC1-999
Computer Science Applications
Offshore wind power
lcsh:Biology (General)
lcsh:QD1-999
lcsh:TA1-2040
failure modeling
vessel routing
maintenance scheduling
lcsh:Engineering (General). Civil engineering (General)
lcsh:Physics
Zdroj: Applied Sciences
Applied Sciences, Vol 9, Iss 2, p 278 (2019)
ISSN: 2076-3417
DOI: 10.3390/app9020278
Popis: 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. © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Databáze: OpenAIRE
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