Investigating Key Decision Problems to Optimize the Operation and Maintenance Strategy of Offshore Wind Farms
Author(s) -
Iver Bakken Sperstad,
Fiona Devoy McAuliffe,
Magne Lorentzen Kolstad,
Severin Sjømark
Publication year - 2016
Publication title -
energy procedia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.474
H-Index - 81
ISSN - 1876-6102
DOI - 10.1016/j.egypro.2016.09.234
Subject(s) - crew , offshore wind power , key (lock) , operations research , submarine pipeline , outcome (game theory) , engineering , reduction (mathematics) , selection (genetic algorithm) , risk analysis (engineering) , computer science , aeronautics , wind power , business , economics , mathematics , computer security , electrical engineering , geotechnical engineering , geometry , mathematical economics , artificial intelligence
This paper investigates three decision problems with potential to optimize operation and maintenance and logistics strategies for offshore wind farms: the timing of pre-determined jack-up vessel campaigns; selection of crew transfer vessel fleet; and timing of annual services. These problems are compared both in terms of potential cost reduction and the stochastic variability and associated uncertainty of the outcome. Pre-determined jack-up vessel campaigns appear to have a high cost reduction potential but also a higher stochastic variability than the other decision problems. The paper also demonstrates the benefits and difficulties of considering problems together rather than solving them in isolation
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