What question did this study set out to answer?

To improve wind turbine wake prediction accuracy by integrating wind direction uncertainty and a turbulence-dependent wake decay coefficient into the Jensen wake model.

May 7, 2015Wind EnergyOpen Access

On the application of the Jensen wake model using a turbulence‐dependent wake decay coefficient: the Sexbierum case

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Authors

APAlfredo PeñaTechnical University of Denmark PRPierre‐Elouan RéthoréTechnical University of Denmark PLP. van der LaanOncode Institute

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Implication

Comparative modeling study demonstrates improved wind turbine wake predictions using a reduced wake decay coefficient, indicating that atmospheric stability strongly modulates wake recovery.

Key Points

To improve wind turbine wake prediction accuracy by integrating wind direction uncertainty and a turbulence-dependent wake decay coefficient into the Jensen wake model.
Simulated single and double wake interactions using the Jensen engineering wake model, Fuga linearized computational fluid dynamics (CFD), and nonlinear Reynolds-averaged Navier–Stokes CFD with a modified k-ε turbulence model.
Averaged wake simulations across wind directions using a Gaussian uncertainty distribution to match observational wake processing methods.
The Jensen-based wake model with directional uncertainty post-processing achieved the closest agreement with onshore field measurements among all tested models.
Matching field measurements required reducing the onshore wake decay coefficient from the conventional standard of 0.075 to 0.038, corresponding to stable atmospheric conditions and reduced turbulence intensity.

Cite This Study

Peña et al. (2015) studied this question.

synapsesocial.com/papers/6a7d8af3fd5c83ea4ea13c96 https://doi.org/10.1002/we.1863

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Implication

Comparative modeling study demonstrates improved wind turbine wake predictions using a reduced wake decay coefficient, indicating that atmospheric stability strongly modulates wake recovery.

On the application of the Jensen wake model using a turbulence‐dependent wake decay coefficient: the Sexbierum case

Discussion

Member takes

Implication

Key Points

Cite This Study

On the application of the Jensen wake model using a turbulence‐dependent wake decay coefficient: the Sexbierum case

Discussion

Member takes

Implication

Key Points

Cite This Study

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