most citedModel-form uncertainty quantification in RANS simulations of wakes and power losses in wind farms

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

physics.flu-dyn2022

Data-driven quantification of model-form uncertainty in Reynolds-averaged simulations of wind farms

Ali Eidi, Navid Zehtabiyan-Rezaie, Reza Ghiassi +2

Computational fluid dynamics using the Reynolds-averaged Navier-Stokes (RANS) remains the most cost-effective approach to study wake flows and power losses in wind farms. The under…

physics.flu-dyn2021★ 1 cited

Model-form uncertainty quantification in RANS simulations of wakes and power losses in wind farms

Ali Eidi, Reza Ghiassi, Xiang Yang +1

Reynolds-averaged Navier-Stokes (RANS) is one of the most cost-efficient approaches to simulate wind-farm-atmosphere interactions. However, the applicability of RANS-based methods…