Vessel Fleet Optimization for Maintenance Operations at Offshore Wind Farms Under Uncertainty
Author(s) -
Magnus Stålhane,
Hanne Vefsnmo,
Elin E. Halvorsen-Weare,
Lars Magnus Hvattum,
Lars Magne ås
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.2016.09.195
Subject(s) - offshore wind power , submarine pipeline , stochastic programming , operations research , marine engineering , computer science , engineering , mathematical optimization , environmental science , wind power , mathematics , geotechnical engineering , electrical engineering
In this paper we consider the problem of determining the optimal fleet size and mix of vessels to support maintenance activities at offshore wind farms. A two-stage stochastic programming model is proposed where uncertainty in demand and weather conditions are taken into account. The model aims to consider the whole life span of an offshore wind farm, and should at the same time remain solvable for realistically sized problem instances. The results from a computational study based on realistic data is provided
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