Meteodyn, a software developer and expert in wind engineering and climatology, gathers a team of specialists in fluid mechanics, computer science, meteorology and statistics.

Based on this expertise, Meteodyn has created several wind and microclimate modeling softwares since 2003, as well as services dedicated to various fields of activity such as :

  • The development of wind farms and the monitoring of their performance,
  • The urban design and sustainable construction,
  • The wind safety of transportation.

Our expertise is recognized. In particular, we have worked on several partnership research programmes with the most advanced universities and industrial companies in these fields.

Simulation CFD du vent sur site complexe GIF



Simulations based on CFD (computational fluid dynamics) consider the effects of the environment at all scales. This technology adapts the modeling to any type of terrain, whether complex (mountain, forest...) or urban (considering all types of architecture and obstacles).

The CFD technology used is based on the resolution of Navier-Stokes mean equations known as RANS. The turbulence models that characterize the unsteady aspects of the wind are models adapted to the atmospheric boundary layer in complex sites, especially considering thermal stability. This choice is crucial and is our main expertise.

Meteodyn is owner of its numerical calculation algorithms, solvers. Its experts master the calculation cores and are constantly innovating to boost performance, in particular by parallelizing its solver.
Meteodyn WT and UrbaWind have become in a few years extremely powerful tools for complex site wind computation, combining precision and computation speed and relying on the digital resources available from our customers or on the Cloud.



After developing these microclimate modeling models, Meteodyn's expertise has continued to develop around the forecasting of renewable energy production, the monitoring of park performance and the forecasting of high winds.

Artificial intelligence and machine learning, coupled with physical modeling and weather forecasting, provide customers with high-performance forecasting tools and services.

Meteodyn has developed its own artificial neural networks to learn the behavior of systems in their meteorological environment.
The algorithms include variants to take into account the specificities of the fields of application of energy, urban planning and transport.