Heavy lift vessel strategy analysis for offshore wind

Iain Dinwoodie, David McMillan

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

8 Citations (Scopus)

Abstract

To minimise the future cost of energy for future large, remote offshore wind farms, new maintenance methodologies may be required. This paper presents a modelling framework to test these maintenance methodologies in order to determine where different operational choices represent the cost optimal solution. The sensitivity of operational strategies to wind farm size as well as failure rates of major components has been examined in order to demonstrate the capability of the modelling approach as well as identify the strengths and weaknesses of the strategies. Fix on fail methodology has been identified as cost effective only for small wind farms where failure rates are low. Vessel purchase becomes cost effective when the wind farm is sufficiently large or failure rate is high. A batch repair approach is shown to provide comparable costs to purchasing a vessel without the large capital costs but reduces the overall power produced. Several additional areas for future model development and research have been identified.

Original languageEnglish
Title of host publicationEuropean Wind Energy Conference and Exhibition (EWEC 2013)
PublisherEuropean Wind Energy Association
Pages1612-1620
Number of pages9
Volume3
ISBN (Print)9781632663146
Publication statusPublished - 1 Jun 2014
EventEuropean Wind Energy Conference and Exhibition, EWEC 2013 - Vienna, United Kingdom
Duration: 4 Feb 20137 Feb 2013

Conference

ConferenceEuropean Wind Energy Conference and Exhibition, EWEC 2013
CountryUnited Kingdom
CityVienna
Period4/02/137/02/13

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Keywords

  • cost modelling
  • jack-up repair
  • offshore wind
  • operations and maintenance

Cite this

Dinwoodie, I., & McMillan, D. (2014). Heavy lift vessel strategy analysis for offshore wind. In European Wind Energy Conference and Exhibition (EWEC 2013) (Vol. 3, pp. 1612-1620). European Wind Energy Association.