M4SE Math for Smart Energy
December 14, 2023
Safety Line
December 14, 2023

E@lin

Wind velocity field approximation: Modelling and visualization on real datasets.

COMPANY
ENGIE Green

PRODUCTIVE SECTOR
Energy and Environment

Approximation of wind velocity field from sparse datasets, taking into account the topography, is a crucial step in order to build wind turbine farm.

  • Regular approximation of the wind velocity field.
  • Optimal visualization of the wind field simulation.

The problem of vector field approximation from sparse data emerges in a wide range of fields such as: motion control, computer vision, geometrical analysis, geometrical design, analysis of acoustic or electromagnetic waves, as well as in geophysics, medical imaging, fluid mechanics and so on... Many different approaches have been introduced to solve each specific problem occurring in the above fields of investigation to fit the vector field dataset. In this work, we use a regularized least-square problem defined on a space of potentials.

We have developed cutting-edge technologies for rigorous wind velocity field approximation from sparse datasets.
The underlying mathematical techniques form the cornerstone of very challenging collaborations between LMI INSA Rouen and Energy industry.

Stichting European Service Network of Mathematics For Industry and Innovation.

5052 Goirle, Netherlands