A new analytical model for wind-turbine wakes
- Submitting institution
-
University of Durham
- Unit of assessment
- 12 - Engineering
- Output identifier
- 120089
- Type
- D - Journal article
- DOI
-
10.1016/j.renene.2014.01.002
- Title of journal
- Renewable Energy
- Article number
- -
- First page
- 116
- Volume
- 70
- Issue
- -
- ISSN
- 09601481
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2014
- URL
-
https://doi.org/10.1016/j.renene.2014.01.002
- 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
-
1
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- A new engineering model is developed based on fluid mechanics theories to inexpensively predict wind farm power production. The publication has been selected by the Elsevier journal of Renewable Energy; (https://www.journals.elsevier.com/renewable-energy) as one of the most cited articles for several consecutive years. The proposed model has been actively used by numerous researchers both in academia and industry (e.g., Orsted NICNY@orsted.dk). The model has been implemented in several commercial software applications to predict and optimise the performance of existing and future wind farms, e.g., those developed by DTU Wind Energy in Denmark (grgi@dtu.dk) and US National Renewable Energy Laboratory (NREL) (paul.fleming@nrel.gov).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
