Impact of different forest densities on atmospheric boundary‐layer development and wind‐turbine wake

Adedipe, Taiwo A.; Chaudhari, Ashvinkumar; Kauranne, Tuomo

doi:10.1002/we.2464

Cited by 8 publications

(14 citation statements)

References 37 publications

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“…The impact of forests depends on the size, the height of the trees, and the forest density (LAI) (Adedipe et al, 2022). Previously, it has been seen that a dense homogeneous forest can increase the turbulence level by 4-5 times above the forest edge compared to a no-forest case (Nebenführ & Davidson, 2014;Adedipe et al, 2020). This is in agreement with our results.…”

Section: Forest Density and Turbulencesupporting

confidence: 93%

“…The approach used here to model the forests has been successfully used in several studies previously (Finnigan et al, 2009;Desmond & Watson, 2014;Agafonova et al, 2016aAgafonova et al, , 2016bAdedipe et al, 2020Adedipe et al, , 2022 and it has been validated against measurements (Chaudhari et al, 2016a;Adedipe et al, 2020).…”

Section: Numerical Modelsmentioning

confidence: 99%

“…This is in agreement with our results. Furthermore, Adedipe et al (2020) studied the relation between the forest density and turbulence level in a systematic way. They concluded that extremely sparse (LAI < 0.5) and dense (LAI > 5) forests result in similar turbulence levels at the hub height of wind turbines (∼ 100 m), and that a forest having intermediate density (0.5 < LAI < 5) results in the maximum turbulence level.…”

Section: Forest Density and Turbulencementioning

confidence: 99%

See 2 more Smart Citations

Assessing The Impact Of Forests On Local Wind Conditions In Archipelagos: A CFD Study

Chaudhari,

Immonen,

Manngard

et al. 2023

ECMS 2023 Proceedings Edited by Enrico Vicario, Romeo Bandinelli, Virginia Fani, Michele Mastroianni

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Ship fairways in archipelagos pass close to small islands with complex terrain and forests. In such areas, local wind conditions deviate from regional forecasts, creating a complex and challenging environment when navigating large vessels. In this article, we carried out Computational Fluid Dynamics (CFD) simulations for wind flows over a site in the Turku Archipelago, in Finland. We assessed local wind conditions along the fairway with the intent of improving safe passage for large vessels. All simulations were carried out with and without the surrounding forests to elucidate the role of forests in shaping the local wind and turbulence conditions over the site. Our results show that in some regions of the fairway, forests can lower the wind speed to one-third of the magnitude obtained by using terrain-only models. Moreover, turbulence can locally be increased six-fold. We expect that these results will facilitate the development of new smart fairways for ensuring safe navigation through the archipelago in the future.

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Section: Forest Density and Turbulencesupporting

confidence: 93%

Section: Numerical Modelsmentioning

confidence: 99%

Section: Forest Density and Turbulencementioning

confidence: 99%

See 1 more Smart Citation

Assessing The Impact Of Forests On Local Wind Conditions In Archipelagos: A CFD Study

Chaudhari,

Immonen,

Manngard

et al. 2023

ECMS 2023 Proceedings Edited by Enrico Vicario, Romeo Bandinelli, Virginia Fani, Michele Mastroianni

View full text Add to dashboard Cite

show abstract

“…They observed a higher rate of energy dissipation for turbulent flows in forest areas. As for the effects of forests on the wake of a wind turbine, Adedipe et al [32] found that the presence of forests accelerates the recovery of wind turbine wakes for different leaf area densities (LADs) using the Reynolds-Averaged Navier-Stokes (RANS) method. Cheng et al [33] investigated the influence of different forest densities on the wake of a model wind turbine and showed that the forest canopy had a significant modulation effect on the wind turbine wakes via a quadrant analysis.…”

Section: Introductionmentioning

confidence: 99%

Large-Eddy Simulation of Wind Turbine Wakes in Forest Terrain

Zhou

et al. 2023

Sustainability

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In this study, large-eddy simulation was employed to investigate the influence of the forest canopy on wind turbine wakes. Nine forest case studies were carried out with different vertical distributions of leaf area density (LAD) and values of leaf area index (LAI). It was found that the wake in forest canopies recovers at a faster rate when compared with the flat terrain. An interesting observation was the significant reduction in turbulence kinetic energy (TKE) in the lower part of the wake above the forest in comparison with the inflow TKE, which occurred for a wide range of turbine downstream positions. The increase of TKE, on the other hand, was mainly located in the region around the top tip. Analyses of the power spectral density showed that the increase in TKE happened at a certain range of frequencies for the forest canopy cases and at all the examined frequencies for the flat case. Wake meandering was also examined and was found to be of a higher amplitude and a lower dominant frequency for the forest cases compared with the flat case. In terms of the influence of forest canopy parameters, the LAI was found to have an impact greater than the vertical distribution of LAD. Specifically, the wake-added TKE and wake-added Reynolds shear stress were found to be approximately the same for cases with the same LAI, regardless of the vertical distribution of LAD.

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“…Early this century, the AL model and the AS model are proposed respectively as the improvement of the AD model. Among them, the AL model is widely used in engineering because of its good precision and acceptable computation cost [28,29,30].…”

Section: Introductionmentioning

confidence: 99%