Zobrazeno 1 - 10
of 175
pro vyhledávání: '"Abkar, Mahdi"'
In this study, we present an improved formulation for the wake-added turbulence to enhance the accuracy of intra-farm and farm-to-farm wake modeling through analytical frameworks. Our goal is to address the tendency of a commonly used formulation to
Externí odkaz:
http://arxiv.org/abs/2407.09220
The development of advanced simulation tools is essential, both presently and in the future, for improving wind-energy design strategies, paving the way for a complete transition to sustainable solutions. The Reynolds-averaged Navier-Stokes (RANS) mo
Externí odkaz:
http://arxiv.org/abs/2405.04906
Turbulent flow physics regulates the aerodynamic properties of lifting surfaces, the thermodynamic efficiency of vapor power systems, and exchanges of natural and anthropogenic quantities between the atmosphere and ocean, to name just a few applicati
Externí odkaz:
http://arxiv.org/abs/2402.05985
Assessing the compliance of a white-box turbulence model with known turbulent knowledge is straightforward. It enables users to screen conventional turbulence models and identify apparent inadequacies, thereby allowing for a more focused and fruitful
Externí odkaz:
http://arxiv.org/abs/2310.09366
This paper explores the similarity of the streamwise velocity fluctuations in a channel. In the analysis, we employ a one-dimensional scalar variant of the proper orthogonal decomposition (POD). This approach naturally motivates the introduction of t
Externí odkaz:
http://arxiv.org/abs/2306.16905
Autor:
Zehtabiyan-Rezaie, Navid, Abkar, Mahdi
The Reynolds-averaged Navier-Stokes approach coupled with the standard $k-\varepsilon$ model is widely utilized for wind-energy applications. However, it has been shown that the standard $k-\varepsilon$ model overestimates the turbulence intensity in
Externí odkaz:
http://arxiv.org/abs/2304.11885
This paper focuses on the use of reinforcement learning (RL) as a machine-learning (ML) modeling tool for near-wall turbulence. RL has demonstrated its effectiveness in solving high-dimensional problems, especially in domains such as games. Despite i
Externí odkaz:
http://arxiv.org/abs/2302.14391
Autor:
Zehtabiyan-Rezaie, Navid, Abkar, Mahdi
Analytical wake models need formulations to mimic the impact of wind turbines on turbulence level in the wake region. Several correlations can be found in the literature for this purpose, one of which is the formula proposed in A. Crespo, J. Hernande
Externí odkaz:
http://arxiv.org/abs/2302.13341
Insights gained from modal analysis are invoked for predictive large-eddy simulation (LES) wall modeling. Specifically, we augment the law of the wall (LoW) by an additional mode based on a one-dimensional proper orthogonal decomposition (POD) applie
Externí odkaz:
http://arxiv.org/abs/2301.06803
With the increasing amount of available data from simulations and experiments, research for the development of data-driven models for wind-farm power prediction has increased significantly. While the data-driven models can successfully predict the po
Externí odkaz:
http://arxiv.org/abs/2212.04188