Integrating structural health and condition monitoring : A cost benefit analysis for offshore wind energy
(2015) ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2015 In Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE 9.- 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... (More)
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%.
(Less)
- author
- May, Allan ; McMillan, David and Thöns, Sebastian LU
- publishing date
- 2015-01-01
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Condition monitoring systems, Cost-benefit analysis, Offshore wind, Operations and maintenance, Structural health monitoring
- host publication
- Ocean Renewable Energy
- series title
- Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE
- volume
- 9
- publisher
- American Society Of Mechanical Engineers (ASME)
- conference name
- ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2015
- conference location
- St. John's, Canada
- conference dates
- 2015-05-31 - 2015-06-05
- external identifiers
-
- scopus:84947808804
- ISBN
- 9780791856574
- DOI
- 10.1115/OMAE2015-41126
- language
- English
- LU publication?
- no
- id
- 5c92cd97-52a4-4588-81b7-4bc73c75d13e
- date added to LUP
- 2020-09-09 10:07:05
- date last changed
- 2022-04-11 04:19:18
@inproceedings{5c92cd97-52a4-4588-81b7-4bc73c75d13e, abstract = {{<p>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%.</p>}}, author = {{May, Allan and McMillan, David and Thöns, Sebastian}}, booktitle = {{Ocean Renewable Energy}}, isbn = {{9780791856574}}, keywords = {{Condition monitoring systems; Cost-benefit analysis; Offshore wind; Operations and maintenance; Structural health monitoring}}, language = {{eng}}, month = {{01}}, publisher = {{American Society Of Mechanical Engineers (ASME)}}, series = {{Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE}}, title = {{Integrating structural health and condition monitoring : A cost benefit analysis for offshore wind energy}}, url = {{http://dx.doi.org/10.1115/OMAE2015-41126}}, doi = {{10.1115/OMAE2015-41126}}, volume = {{9}}, year = {{2015}}, }