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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ftustrathclyde:oai:strathprints.strath.ac.uk:55785 2024-04-28T08:04:40+00:00 Integrating structural health and condition monitoring : a cost benefit analysis for offshore wind energy May, Allan McMillan, David Thons, Sebastian 2015-06-01 https://strathprints.strath.ac.uk/55785/ http://proceedings.asmedigitalcollection.asme.org/proceeding.aspx?articleid=2466025 unknown ASME May, Allan <https://strathprints.strath.ac.uk/view/author/481800.html> and McMillan, David <https://strathprints.strath.ac.uk/view/author/450896.html> and Thons, Sebastian; (2015 <https://strathprints.strath.ac.uk/view/year/2015.html>) Integrating structural health and condition monitoring : a cost benefit analysis for offshore wind energy. In: ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering. ASME, CAN, V009T09A057. ISBN 978-0-7918-5657-4 <https://strathprints.strath.ac.uk/view/isbn/978-0-7918-5657-4.html> Electrical engineering. Electronics Nuclear engineering Book Section NonPeerReviewed 2015 ftustrathclyde 2024-04-10T01:05:35Z 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%. Book Part Arctic University of Strathclyde Glasgow: Strathprints Volume 9: Ocean Renewable Energy |
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University of Strathclyde Glasgow: Strathprints |
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ftustrathclyde |
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unknown |
topic |
Electrical engineering. Electronics Nuclear engineering |
spellingShingle |
Electrical engineering. Electronics Nuclear engineering May, Allan McMillan, David Thons, Sebastian Integrating structural health and condition monitoring : a cost benefit analysis for offshore wind energy |
topic_facet |
Electrical engineering. Electronics Nuclear engineering |
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 |
Book Part |
author |
May, Allan McMillan, David Thons, Sebastian |
author_facet |
May, Allan McMillan, David Thons, Sebastian |
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 |
publisher |
ASME |
publishDate |
2015 |
url |
https://strathprints.strath.ac.uk/55785/ http://proceedings.asmedigitalcollection.asme.org/proceeding.aspx?articleid=2466025 |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
May, Allan <https://strathprints.strath.ac.uk/view/author/481800.html> and McMillan, David <https://strathprints.strath.ac.uk/view/author/450896.html> and Thons, Sebastian; (2015 <https://strathprints.strath.ac.uk/view/year/2015.html>) Integrating structural health and condition monitoring : a cost benefit analysis for offshore wind energy. In: ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering. ASME, CAN, V009T09A057. ISBN 978-0-7918-5657-4 <https://strathprints.strath.ac.uk/view/isbn/978-0-7918-5657-4.html> |
container_title |
Volume 9: Ocean Renewable Energy |
_version_ |
1797575197676535808 |