Survivability of wave energy converters using CFD
- Submitting institution
-
University of Plymouth
- Unit of assessment
- 12 - Engineering
- Output identifier
- 100
- Type
- D - Journal article
- DOI
-
10.1016/j.renene.2017.03.003
- Title of journal
- Renewable Energy
- Article number
- -
- First page
- 235
- Volume
- 109
- Issue
- -
- ISSN
- 0960-1481
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- 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
-
4
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper details benchmarking numerical and physical data for wave energy convertors in extreme waves. In the nationally important area of offshore renewable energy, floating structures are becoming more prevalent and uncertainty in extreme wave conditions is a key risk. This publicly-available dataset (http://www.ccp-wsi.ac.uk/data_repository/test_cases/test_case_002) has been utilised by both academic (e.g. https://doi.org/10.1016/j.oceaneng.2019.02.047) and industrial researchers, including prominent wave energy developers Carnegie Clean Energy. The success and robustness of the cases presented significantly influenced the design of the internationally recognised CCP-WSI Blind Test Series 2 and 3 (https://doi.org/10.1680/jencm.20.00006; https://doi.org/10.17736/ijope.2020.jc774).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
