Meteodyn WT

Meteodyn WT is a Computational Fluid Dynamics (CFD) software for numerical wind simulation and wind resource assessment. It computes all the wind characteristics and estimates the annual energy production (AEP) of wind farms. The results are accurate and reliable, even in complex terrain such as wooded or mountainous areas. It incorporates the latest IEC industry standards and addresses the different phases of a wind power project.

The most powerful CFD software for wind resource assessment

To model the wind and accurately estimate the wind resource, our wind energy software uses Computational Fluid Dynamics (CFD) technology, which has been in use at Meteodyn since 2003.
The results obtained are fast and accurate, thanks to the physical models of forests and atmospheric boundary layer, and the self-convergence algorithms implemented.

Meteodyn WT is suitable for both beginners and experts in numerical simulation who want to perform wind resource and energy yield assessment studies.

Meteodyn WT has been successfully verified by Bureau Veritas.

Wind farm design and planning


Annual energy production (AEP) computation

The Annual Energy Production (AEP) computation can be performed by weighting the wind speed distribution at the rotor height with the power curve of the wind turbine (REWS), taking into account losses due to wake effects.


Multi-mast tool

Allows the use of multiple measurement masts, lidars and/or sodars as input to the synthesis to calculate the wind turbine power output. The confidence placed in each of them can be configured. This feature is useful when multiple sources of meteorological measurements are available at the wind site over similar time periods.

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Determination of atmospheric stability

Using only temperature and wind speed measurements, Meteodyn WT automatically determines the appropriate atmospheric stability class for each time step in a time series.


Full integration of mesoscale data into microscale computations

Microscale wind simulations consider the thermal stability of the atmospheric boundary layer through turbulent mixture. To account for thermal effects over large computational domains, it is necessary to integrate wind data from mesoscale simulations. Meteodyn WT assimilates wind data from a grid of mesoscale points as climatological synthesis input.


Full compliance with the IEC 61400 standard

Meteodyn WT provides the wind characteristics at the future wind turbines location. These elements determine the choice of wind turbine class, which must meet minimum design requirements to ensure structural integrity (IEC 61400-1).


Accurate and reliable wind resource assessment

The economic viability of a wind farm is secured by an accurate wind resource assessment and the proper analysis of wind characteristics.

Meteodyn WT computes:

  • The wind speed and direction ;
  • The energy density and the AEP ;
  • The wind angle of incidence ;
  • The wind shear ;
  • The wind vertical profile ;
  • The 50-year extreme wind ;
  • The turbulence intensity.
  • location

    Meso-microscale coupling

    To accurately model wind characteristics at large sites, it is necessary to couple local characteristics with regional climatic effects. Our meso-microscale coupling method has achieved a wind speed bias of less than 1%. Learn more


    Roughness and orography overlay

    If the user’s field data is incomplete, it can be supplemented with the roughness and orography (topography, elevation, etc.) data provided in Meteodyn WT to launch CFD calculations.

    Discover the new features of Meteodyn WT


    The power of CFD technology

    The software is based on CFD technology. It provides accurate and reliable simulation and analysis of the wind flow and its characteristics, even in complex terrain.

    To accurately estimate the wind turbine production, it is necessary to extrapolate the wind data collected at the reference mast to the wind turbine locations. This feature is especially useful in complex terrain where it can be challenging to set up multiple measurement masts. This method can also be used to perform site calibration (IEC 61400-12-1) by extrapolating wind data from the reference mast to any point on the site.

    An auto-convergence tool

    Meteodyn has developed a self-convergence tool that automatically adjusts CFD parameters when your calculations are about to diverge. It gives them a better chance to converge and automatically relaunches them.

    Integrated models

    • A configurable forest model to consider different forests by selecting their height and density.
    • Several wake models required to consider interactions between wind turbines are provided for small or clustered wind farms.
    • Worldwide topography databases with sources that are public, certified by international agencies, and recognized by the wind power industry.

    Integrated geographical data


    • SRTM 90m corrected ;
    • SRTM 30m.


    • CLC 100m_2006 ;
    • NLCD 30m_2006 ;
    • NLCD 30m_2011 ;
    • ESA 300m_2010.

    An intuitive 3D user interface

    The interface of our software is designed to simplify the management of your studies:

    • All your projects available on a single map;
    • Your wind CFD simulations can be controlled with the ergonomic 3D user interface.

    Import with ease

    • Meteorological or mesoscale: Import your wind data from a measurement mast, lidar, or mesoscale simulations.

    • Wind turbine types: Identify the appropriate turbines, then import their power curves to estimate the production.

    Collaboration made easy

    Collaborative mode: Facilitate teamwork with remote access to the same database. Work on the same projects without sending files.

    Simplified exports: Export your results in a variety of formats: Flowres, WRG/RSF, WRB and FMV. Other exports to Google Earth, Surfer, and Tecplot® are also available.


    Lidar data correction

    Lidars measure the radial component of wind speed. In complex terrain, lidar data requires correction to account for the surrounding terrain. Meteodyn has therefore partnered with the leading lidar manufacturers on the market to develop a Lidar Data Correction Tool.

    HPC Version

    This software configuration optimizes computing power by using a high-performance external server. This allows a very large number of computations to be started simultaneously without geographical limitations.

    Wind Atlas

    Get regional-scale wind maps with the automatic subdivision of large areas into smaller ones and the easy integration of mesoscale data.


    Project Assistance

    Benefit from scientific expertise and in-depth analysis of your projects. Our team of experts is here to help you with consulting services.


    Multi-core: from 2 to 64 cores

    Run 2, 4, or 8 simultaneous computations with the multi-core option, or unleash full computing power with the 64-core option. The software monitors available memory and optimizes the computation queue to reduce the time required to complete a study.

    Minimum system requirements

    Environment: Windows 8.1 and 10, or Windows Server 2016 and 2019.
    Contact the sales department for more information on the minimum hardware requirements.

    POSTER – Mesoscale-Microscale Coupling

    Explore this poster detailing our mesoscale-microscale coupling approach to wind resource assessment, illustrated by a case study of a large coastal area in India.