Advanced logistics planning for offshore wind farm operation and maintenance activities

Yalcin Dalgic, Iraklis Lazakis, Iain Dinwoodie, David McMillan, Matthew Revie

Research output: Contribution to journalArticle

62 Citations (Scopus)
209 Downloads (Pure)

Abstract

Offshore wind turbine technology is moving forward as a cleaner alternative to the fossil fuelled power production. However, there are a number of challenges in offshore; wind turbines are subject to different loads that are not often experienced onshore and more importantly challenging wind and wave conditions limit the operability of the vessels needed to access offshore wind farms. As the power generation capacity improves constantly, advanced planning of Operation and Maintenance (O&M)activities, which supports the developers in achieving reduced downtime, optimised availability and maximised revenue, has gained vital importance. In this context, the focus of this research is the investigation of the most cost-effective approach to allocate O&M resources which may include helicopter, crew transfer vessels, offshore access vessels, and jack-up vessels. This target is achieved through the implementation of a time domain Monte-Carlo simulation approach which includes analysis of environmental conditions (wind speed, wave height, and wave period), operational analysis of transportation systems, investigation of failures (type and frequency), and simulation of repairs. The developed methodology highlights how the O&M fleets can be operated in a cost-effective manner in order to support associated day-to-day O&M activities and sustain continuous power production.
Original languageEnglish
Pages (from-to)211-226
Number of pages16
JournalOcean Engineering
Volume101
Early online date2 May 2015
DOIs
Publication statusPublished - 1 Jun 2015

Keywords

  • offshore wind
  • operation and maintenance
  • accessibility
  • charter rate
  • simulation
  • logistics planning

Fingerprint Dive into the research topics of 'Advanced logistics planning for offshore wind farm operation and maintenance activities'. Together they form a unique fingerprint.

Cite this