Prediction of aerodynamic performance of NREL offshore 5‐MW baseline wind turbine considering power loss at varying wind speeds.
- Published in:
- Wind Energy, 2023, v. 26, n. 5, p. 493, doi. 10.1002/we.2812
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- Publication type:
- Article
Works matching IS 10954244 AND DT 2023 AND VI 26 AND IP 5
Results: 6
1
2
Using observational mean‐flow data to drive large‐eddy simulations of a diurnal cycle at the SWiFT site.
- Published in:
- Wind Energy, 2023, v. 26, n. 5, p. 469, doi. 10.1002/we.2811
- By:
- Publication type:
- Article
3
Non‐destructive and contactless defect detection inside leading edge coatings for wind turbine blades using mid‐infrared optical coherence tomography.
- Published in:
- Wind Energy, 2023, v. 26, n. 5, p. 458, doi. 10.1002/we.2810
- By:
- Publication type:
- Article
4
Adding wind power to a wind‐rich grid: Evaluating secondary suitability metrics.
- Published in:
- Wind Energy, 2023, v. 26, n. 5, p. 446, doi. 10.1002/we.2809
- By:
- Publication type:
- Article
5
Can synoptic drivers explain rotor‐area wind conditions and predict energy output?
- Published in:
- Wind Energy, 2023, v. 26, n. 5, p. 429, doi. 10.1002/we.2807
- By:
- Publication type:
- Article
6
Issue Information.
- Published in:
- Wind Energy, 2023, v. 26, n. 5, p. 425, doi. 10.1002/we.2746
- Publication type:
- Article