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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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 |
_version_ |
1775347397015109632 |