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

May, Allan ; McMillan, David and Thöns, Sebastian LU (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%.

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Please use this url to cite or link to this publication:
author
; and
publishing date
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&amp;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}},
}