Datasets

1. Supporting data - Physics-guided machine learning for wind-farm power prediction: Toward interpretability and generalizability

Codes

1. k-epsilon-Sk: Extended k-epsilon model for wind farm wake and power simulation. An extended k-epsilon model, integrated with OpenFOAM, for simulation of turbine wakes and power losses in wind farms, developed by Zehtabiyan-Rezaie and Abkar (2024).

2. k-wSST-PDA-WindFarm: A progressive data-augmented version of the k−wSST model, integrated with OpenFOAM for simulation of turbine wakes and power losses in wind farms, developed by Amarloo and Zehtabiyan-Rezaie and Abkar (2024).

3. buoyantBoussinesqPimpleEHDFoam: An OpenFOAM solver to model enhancement of mixed convection heat transfer due to electrohydrodynamic (EHD) flow, developed by Zehtabiyan-Rezaie et al. (2020).

See the full list of codes on my GitHub page.