Effect of Wind Turbine Wakes on the Performance of a Real Case WRF-LES Simulation

Doubrawa, Paula; Montornès, Alex; Barthelmie, R.J.; Pryor, Sara C.; Giroux, Gerald; Casso, Pau

doi:10.1088/1742-6596/854/1/012010

Cited by 3 publications

(3 citation statements)

References 15 publications

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“…A closer look to the daily cycle of the turbulent quantities confirms the general underestimation of TKE and heat flux values, calculated for 10 IOP days (Figure 7). The TKE daily cycle (Figure 7a) is generally underestimated by LES, a feature also observed by [12], but opposite to the results from [6]. These authors and other recent existing literature [22,35,37] use a greater number of vertical levels which can be one reason for these discrepancies.…”

Section: Model Performance: Turbulent Quantitiesmentioning

confidence: 52%

“…During the last decades, researchers have used LES approximation to study specific problems such as air pollution dispersion in urban street canyons [8][9][10], flow distortion caused by wind turbines [11][12][13], large fires [14,15] or cloud and precipitation processes development [16][17][18][19]. Many other studies have used real case LES to simulate atmospheric flows in complex terrain areas [20][21][22] where grid sizes of few hundreds of metres are needed to resolve the terrain elevation and LES approximation is required.…”

Section: Introductionmentioning

confidence: 99%

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WRF-LES Simulation of the Boundary Layer Turbulent Processes during the BLLAST Campaign

Udina

Montornès²,

Casso³

et al. 2020

Atmosphere

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A real case long-term nested large eddy simulation (LES) of 25-day duration is performed using the WRF-LES modelling system, with a maximum horizontal grid resolution of 111 m, in order to explore the ability of the model to reproduce the turbulence magnitudes within the first tens of metres of the boundary layer. Sonic anemometer measurements from a 60-m tower installed during the Boundary Layer Late Afternoon and Sunset Turbulence (BLLAST) field campaign are used for verification, which is focused on the turbulent magnitudes in order to assess the success and limitations in resolving turbulent flow characteristics. The mesoscale and LES simulations reproduce the wind speed and direction fairly well, but only LES is able to reproduce the energy of eddies with lifetimes shorter than a few hours. The turbulent kinetic energy in LES simulation is generally underestimated during the daytime, mainly due to a vertical velocity standard deviation that is too low. The turbulent heat flux is misrepresented in the model, probably due to the inaccuracy of the sub-grid scheme.

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Section: Model Performance: Turbulent Quantitiesmentioning

confidence: 52%

Section: Introductionmentioning

confidence: 99%

WRF-LES Simulation of the Boundary Layer Turbulent Processes during the BLLAST Campaign

Udina

Montornès²,

Casso³

et al. 2020

Atmosphere

View full text Add to dashboard Cite

show abstract

“…It is vital to assess the ability of numerical models to accurately simulate the background inflow conditions before moving on to more complex simulations employing turbine paramaterizations and assessing wake effects [6]. One particular issue with accurately simulating the inflow conditions is that numerical models are often driven by low-resolution weather data used for initial and boundary conditions.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of turbulence characteristics in WRF simulations at WiValdi wind park

Kilroy,

Englberger,

Wrba

et al. 2024

J. Phys.: Conf. Ser.

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In this work we evaluate WRF-LES simulations at the WiValdi wind park at Krummendeich, North Germany. To accurately resolve fine-scale turbulence, we employ a high-resolution nested innermost grid with 5 m horizontal grid spacing. The main aim is to accurately reproduce realistic turbulent characteristics observed in neutral and stable atmospheric boundary layers. The so-called cell-perturbation method to accelerate the development of fine-scale three-dimensional turbulence is tested, and results are compared to in-situ observations and to another highly idealized numerical model running in LES mode. While WRF without additional modifications is capable of reproducing the mean wind fields at the WiValdi wind park, it is unable to reproduce the turbulent characteristics observed. With the cell-perturbation method included, results are significantly improved, with turbulent characteristics much closer to observations.

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Simulation of Flow Fields in Complex Terrain with WRF-LES: Sensitivity Assessment of Different PBL Treatments

Liu

Muñoz‐Esparza

et al. 2020

Journal of Applied Meteorology and Climatology

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A multiscale modeling study of a real case has been conducted to explore the capability of WRF-LES over the Xiaohaituo Mountain (a game zone for the Beijing-2022-Winter-Olympic-Games). Comparing WRF-LES results with observations collected during the MOUNTAOM (MOUNtain Terrain Atmospheric Observations and Modeling) field campaign, it is found that at 37 m resolution with LES settings, the model can reasonably capture both large-scale events and microscale atmospheric circulation characteristics. Employing SRTM1 (≈30 m) high resolution topographic dataset instead of traditional USGS_30s (≈900 m) dataset effectively improves the model capability for reproducing fluctuations and turbulent features of surface winds. Five sensitivity experiments are conducted to investigate the impact of different PBL treatments, including YSU/SH PBL schemes and LES with 1.5TKE, SMAG, NBA subgrid-scale (SGS) stress models. In this case, at gray zone scales, differences between YSU and SH are negligible. LES outperform two PBL schemes which generate smaller turbulence kinetic energy, and increase the model errors for mean wind speed, energy spectra and probability density function of velocity. Another key finding is that wind field features in the boundary layer over complex terrain are more sensitive to the choice of SGS models than above the boundary layer. With the increase of model resolution, the effects of SGS model become more significant, especially for the statistical characteristics of turbulence. Among these three SGS models, NBA has the best performance. Overall, this study demonstrates that WRF-LES is a promising tool for simulating real weather flows over complex terrain.

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Effect of Wind Turbine Wakes on the Performance of a Real Case WRF-LES Simulation

Cited by 3 publications

References 15 publications

WRF-LES Simulation of the Boundary Layer Turbulent Processes during the BLLAST Campaign

WRF-LES Simulation of the Boundary Layer Turbulent Processes during the BLLAST Campaign

Evaluation of turbulence characteristics in WRF simulations at WiValdi wind park

Simulation of Flow Fields in Complex Terrain with WRF-LES: Sensitivity Assessment of Different PBL Treatments

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