A methodology to develop reduced-order models to support the operation and maintenance of offshore wind turbines
- Submitting institution
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University of Northumbria at Newcastle
- Unit of assessment
- 12 - Engineering
- Output identifier
- 32108893
- Type
- D - Journal article
- DOI
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10.1016/j.apenergy.2019.114228
- Title of journal
- Applied Energy
- Article number
- 114228
- First page
- -
- Volume
- 259
- Issue
- -
- ISSN
- 0306-2619
- Open access status
- Technical exception
- Month of publication
- December
- Year of publication
- 2019
- URL
-
-
- Supplementary information
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- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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2
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- We developed reduced-order models based on a holistic analysis of the whole wind turbine system. The proposed reduced-order models for offshore wind turbines were based on an integrated aero-hydro-servo-elastic analysis. The results of this paper form part of an invited talk Harbin Engineering University, China in Dec 2019 (Hengxu Liu liuhengxu@hrbeu.edu.cn).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
