Integrating structural health and condition monitoring: a cost benefit analysis for offshore wind energy

Allan May, Sebastian Thöns, David McMillan

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

There is a large financial incentive to minimise operations and maintenance (O&M) costs for offshore wind power by optimising the maintenance plan. The integration of condition monitoring (CM) and structural health monitoring (SHM) may help realise this. There is limited work on the integration of both CM and SHM for offshore wind power or the use of imperfectly operating monitoring equipment. In order to investigate this, a dynamic Bayesian network and limit state equations are coupled with Monte Carlo simulations to deteriorate components in a wind farm. The CM system has a ‘deterioration window’ allowing for the possible detection of faults up to 6 months in advance. The SHM system model uses a reduction in the probability of failure factor to account for lower modelling uncertainties. A case study is produced that shows a reduction in operating costs and also a reduction in risk. The lifetime levelised costs are reduced by approximately 6%.
Original languageEnglish
Title of host publicationProceedings of the ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering
Number of pages7
Publication date2015
Article numberOMAE2015-41126
Publication statusPublished - 2015
EventASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering - St John’s, Newfoundland, Canada
Duration: 31 May 20155 Jun 2015
Conference number: 34

Conference

ConferenceASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering
Number34
CountryCanada
CitySt John’s, Newfoundland
Period31/05/201505/06/2015

Keywords

  • Offshore wind
  • Cost-benefit analysis
  • Condition monitoring systems
  • Structural health monitoring
  • Operations and maintenance

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