Journal article
An improved statistical wake meandering model
Journal of physics. Conference series, Vol.2767(9), 092048
06/01/2024
DOI: 10.1088/1742-6596/2767/9/092048
Abstract
A new statistical wake meandering (SWM) model is proposed that improves on existing models in the literature. Compared to the existing SWM models, the proposed model has a closed description that does not require simulations to create look-up tables while maintaining applicability to a wide range of flow conditions. The proposed SWM model is compared to the predictions of the Dynamic Wake Meandering (DWM) model and to wind speed measurements from a scanning Doppler lidar mounted on the nacelle of a utility-scale wind turbine for validation. The results show that the proposed model has a similar performance as the DWM model for the effect of wake meandering on the mean velocity deficit and the turbulence intensity, while being significantly faster to compute.
Details
- Title: Subtitle
- An improved statistical wake meandering model
- Creators
- Peter BruggerCorey MarkfortFernando Porté-Agel
- Resource Type
- Journal article
- Publication Details
- Journal of physics. Conference series, Vol.2767(9), 092048
- DOI
- 10.1088/1742-6596/2767/9/092048
- ISSN
- 1742-6588
- eISSN
- 1742-6596
- Publisher
- IOP Publishing
- Language
- English
- Date published
- 06/01/2024
- Academic Unit
- Civil and Environmental Engineering; IIHR--Hydroscience and Engineering; Center for Global & Regional Environmental Research; Mechanical Engineering
- Record Identifier
- 9984643753702771
Metrics
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