A model for optimal fleet composition of vessels for offshore wind farm maintenance

Alejandro Gutierrez-Alcoba, Gloria Ortega, Eligius M. T. Hendrix, Elin E. Halvorsen-Weare, Dag Haugland

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a discrete optimisation model that chooses an optimal fleet of vessels to support maintenance operations at Offshore Wind Farms (OFWs). The model is presented as a bi-level problem. On the first (tactical) level, decisions are made on the fleet composition for a certain time horizon. On the second (operational) level, the fleet is used to optimise the schedule of operations needed at the OWF, given events of failures and weather conditions.
Original languageEnglish
Title of host publicationInternational Conference on Computational Science, ICCS 2017, 12-14 June 2017, Zurich, Switzerland
EditorsPetros Koumoutsakos, Michael Lees, Valeria Krzhizhanovskaya, Jack Dongarra, Peter Sloot
Pages1512-1521
Number of pages10
DOIs
Publication statusE-pub ahead of print - 9 Jun 2017

Publication series

NameProcedia Computer Science
PublisherElsevier
Volume108
ISSN (Print)1877-0509

Keywords

  • offshore wind farms
  • decision support system
  • fleet composition
  • maintenance planning

Fingerprint

Dive into the research topics of 'A model for optimal fleet composition of vessels for offshore wind farm maintenance'. Together they form a unique fingerprint.

Cite this