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

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...

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Main Authors: May, Allan, Thöns, Sebastian, McMillan, David
Format: Article in Journal/Newspaper
Language:English
Published: 2015
Subjects:
Online Access:https://orbit.dtu.dk/en/publications/043a1685-6d12-4cdc-a591-df70cc84b317
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record_format openpolar
spelling ftdtupubl:oai:pure.atira.dk:publications/043a1685-6d12-4cdc-a591-df70cc84b317 2023-08-27T04:06:29+02:00 Integrating structural health and condition monitoring: a cost benefit analysis for offshore wind energy May, Allan Thöns, Sebastian McMillan, David 2015 https://orbit.dtu.dk/en/publications/043a1685-6d12-4cdc-a591-df70cc84b317 eng eng info:eu-repo/semantics/restrictedAccess May , A , Thöns , S & McMillan , D 2015 , Integrating structural health and condition monitoring : a cost benefit analysis for offshore wind energy . in Proceedings of the ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering . , OMAE2015-41126 , ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering , St John’s, Newfoundland , Canada , 31/05/2015 . Offshore wind Cost-benefit analysis Condition monitoring systems Structural health monitoring Operations and maintenance contributionToPeriodical 2015 ftdtupubl 2023-08-02T22:56:52Z 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%. Article in Journal/Newspaper Arctic Technical University of Denmark: DTU Orbit
institution Open Polar
collection Technical University of Denmark: DTU Orbit
op_collection_id ftdtupubl
language English
topic Offshore wind
Cost-benefit analysis
Condition monitoring systems
Structural health monitoring
Operations and maintenance
spellingShingle Offshore wind
Cost-benefit analysis
Condition monitoring systems
Structural health monitoring
Operations and maintenance
May, Allan
Thöns, Sebastian
McMillan, David
Integrating structural health and condition monitoring: a cost benefit analysis for offshore wind energy
topic_facet Offshore wind
Cost-benefit analysis
Condition monitoring systems
Structural health monitoring
Operations and maintenance
description 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%.
format Article in Journal/Newspaper
author May, Allan
Thöns, Sebastian
McMillan, David
author_facet May, Allan
Thöns, Sebastian
McMillan, David
author_sort May, Allan
title Integrating structural health and condition monitoring: a cost benefit analysis for offshore wind energy
title_short Integrating structural health and condition monitoring: a cost benefit analysis for offshore wind energy
title_full Integrating structural health and condition monitoring: a cost benefit analysis for offshore wind energy
title_fullStr Integrating structural health and condition monitoring: a cost benefit analysis for offshore wind energy
title_full_unstemmed Integrating structural health and condition monitoring: a cost benefit analysis for offshore wind energy
title_sort integrating structural health and condition monitoring: a cost benefit analysis for offshore wind energy
publishDate 2015
url https://orbit.dtu.dk/en/publications/043a1685-6d12-4cdc-a591-df70cc84b317
genre Arctic
genre_facet Arctic
op_source May , A , Thöns , S & McMillan , D 2015 , Integrating structural health and condition monitoring : a cost benefit analysis for offshore wind energy . in Proceedings of the ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering . , OMAE2015-41126 , ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering , St John’s, Newfoundland , Canada , 31/05/2015 .
op_rights info:eu-repo/semantics/restrictedAccess
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