Environmental Data: CFD dataset of wind and pressure fields over Swiss...

Keywords:
COMPLEX TERRAIN
MACHINE LEARNING
OPENFOAM
PHOTOVOLTAIC
WIND ENERGY
Keywords:
COMPLEX TERRAIN
MACHINE LEARNING
OPENFOAM
PHOTOVOLTAIC
WIND ENERGY

Description

Steady-state Reynolds-averaged Navier–Stokes (RANS) simulations of the atmospheric wind and pressure field over 292 domains of Swiss complex terrain, 184 o...

Citation

Gasser, J., Lehning, M. (2026). CFD dataset of wind and pressure fields over Swiss complex terrain with photovoltaic structures and wind turbines (292 OpenFOAM RANS simuluation). EnviDat. https://www.doi.org/10.16904/envidat.810.

Resources

  • pinnfluid_cfd_complexterrain_only.zip

    108 terrain-only domains. Fields on the 30 m global grid only. Unpacks to cfd/complexterrain_only/<case>/ with terrain.npz, flow.npz, nut.npy, meta.json.

    pinnfluid_cfd_complexterrain_only.zip

  • pinnfluid_cfd_singlestructures.zip

    91 domains with one to five isolated structures. Fields on the 30 m global grid plus one 0.5 m region of interest per structure under roi/roi_000/, each with phi_wall.npy (signed distance to the structure). Unpacks to cfd/singlestructures/<case>/.

    pinnfluid_cfd_singlestructures.zip

  • pinnfluid_cfd_multistructures.zip

    93 domains with regular arrays of structures. Fields on the 30 m global grid plus one 0.5 m region of interest covering the array under roi/roi_000/. Unpacks to cfd/multistructures/<case>/

    pinnfluid_cfd_multistructures.zip