An implementation of an aeroacoustic prediction model for broadband noise from a vertical axis wind turbine using a CFD informed methodology
- Submitting institution
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Liverpool John Moores University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 1166
- Type
- D - Journal article
- DOI
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10.1016/j.jsv.2017.08.038
- Title of journal
- Journal of Sound and Vibration
- Article number
- -
- First page
- 389
- Volume
- 410
- Issue
- -
- ISSN
- 0022-460X
- Open access status
- Technical exception
- Month of publication
- September
- Year of publication
- 2017
- 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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A - MEMARC
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The innovative techniques developed by the underpinning research have improved vertical axis wind turbine blade design. The design and manufacture of a pilot implementation of such blades was supported by an EU-Horizon 2020 project (SWIP, grant no. 608554, €6.5m, 2013-2017, http://www.swipproject.eu). The resulting noise reduction was validated using a turbine installed in Poland by the Baltic Energy Conservation Agency (K. Grecka, Technical Director, k.grecka@bape.com.pl ) and this turbine has been operational since 2017. The findings of this research were invited to be presented at ISMA 2016 (https://euracoustics.org/events/events-2015/event.2015-01-07).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -