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.
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
Meteodyn WT computes:
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%.
Read the study ↘
▶ Meso-micro-scale coupling in detail ↘
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
Learn how to improve WRA in forests
Strengths
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. Watch our webinar on forest model calibration with EDF Renewables ↘ or Download our poster ↘
- 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
Orography:
- SRTM 90m corrected ;
- SRTM 30m.
Roughness:
- 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 (WindPro), WRG/RSF, WRB and FMV. Other exports to Google Earth, Surfer, and Tecplot® are also available.
Options
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.
WEBINAR – How to accurately perform wind resource assessment in forested areas? With the special participation of EDF Renewables.
Unlock the potential of your wind farms by overcoming forest challenges. From mesh generation and forest calibration methodology to the analysis of results from 5 different sites, learn how our methodology improves wind speed simulation in forested areas.