The METEO module is a powerful wind energy software tool for wind data analysis. Apart from being a very user-friendly wind energy software tool, it has all the required features for daily quality checks during monitoring, as well as for data cleaning and correction after monitoring.
Easy data import
Easily import any kind of dataset automatically or manually
Download data in 1-2-3!
Quickly download high quality mesoscale data at any point + ERA5, MERRA2, CFSR climate model datasets
Easily screen, disable and clean data using the many data visualization tools in METEO
Advanced data analysis
Handle multiple datasets at many heights, and analyse shear, turbulence, diurnal profiles, Weibull fits and more
Downscale data series, extrapolate heights, auto gap-fill time series, clean for wakes, and much more
Generate reports with wind data statistics
Easy and Intelligent Data Import
The data screening facilities of METEO are widely recognized. It is possible to read all kinds of wind data files from met mast loggers, SODARs and LIDARs, either automatically format detected or manually defined. Data transfer from third party data servers can be established for easy import of data.
METEO automatically detects the data format for many measurement devices from companies such as Ammonit, NRG, Leosphere, Zephir and others.
The advanced import filter in METEO can read any ASCII files with time stamps, and selected binary files. It handles: wind speed, wind direction, standard deviation or turbulence intensity, date and time, temperature and many other atmospheric parameters.
Time series (wind speed, wind direction, turbulence intensity, date and time) and more
Frequency table (wind speed distribution and turbulence intensity for each directional sector).
Weibull Data for each directional sector
Additional measured heights are handled in the same METEO Object. More advanced tables and graphic analysis features (statistics, data recovery rate, wind speed difference/ratio diagram, wind roses) are included.
Download Global Meteorological Wind Data
When using the newest METEO version you can download free global meteorological wind data, e.g. ERA5, MERRA2, CFSR, NARR + many other data sets from the EMD Online Data Services.
In METEO you can also download mesoscale data for any point on the globe in a 3 km/hourly resolution, using the pre-run EMD WRF Mesoscale Datasets and the Global EMD WRF On-demand Mesoscale Service.
This data can be used as reference to your local measurements, useful when cleaning data or for later long-term correction using MCP
Check and Substitute Wind Data
METEO makes it easy to screen and disable data automatically using formal conditions or by manual inspection in the many graphs METEO offers. METEO quickly detects and flag problems caused by e.g. tower shading, icing events, sensor malfunctions, or low signal-to-noise ratio. Disable bad data from calculations, apply scaling factors, offsets, or time shifts, and even fill gaps are quickly done. Missing data can easily be substituted with other measurement data or windPRO online data.
Handling of Multiple Heights and Datasets
With METEO you can arrange wind data in time series or summary frequency tables and obtain the Weibull parameters and to visually inspect the time series, produce gunshot graphs, directional distributions, diurnal graphs etc.
METEO can handle multiple data sets with multiple heights making it easy to view and compare
shear, turbulence, diurnal profiles, wind roses, Weibull fits and lots more.
Clean measurement data
Time series for multiple heights can be compared with each other in all diagrams and selected data can be disabled (ﬂagged) both through selection ﬁlters and visually in the time series plots. In XY presentations of any signal versus any signal, data can be ﬂagged above or below a ﬂag line and double click on an outlier shows where this is seen in the time series. The many features make it easy to identify and eliminate errors in the measurements.
Advanced Wind Data Analysis
METEO includes the METEO ANALYZER tool for graphical comparison of data from different masts or other sources. The tool allows substitution of data between different measurement heights and masts, graphical comparison of wind data from different masts and cross-prediction of wind data based on data from several masts and/or heights with different models.
In the METEO ANALYZER it is possible to prepare for subsequent time varying calculations for each WTG in the PARK module. This is either based on measured wind data transformed through WAsP or using a WTI (wind time variation ﬁle).
Shear Analysis and Cross Prediction
METEO includes special wind proﬁle analysis features with tools allowing the user to specify day/night and seasonal variations and directly compare measurements with WAsP calculations as well as comprehensive shear analysis tools with easy cut and paste to Microsoft Excel or other spreadsheet programs.
The final wind data can be used in the calculation of wind statistics (a set of wind data cleaned for local terrain inﬂuence) with the MODEL module and the WAsP software. Using the Cross Predictor, the accuracy of vertical and horizontal model extrapolation can be tested. Additionally, RIX correction parameters can also be found using the Cross Predictor.
WTG Energy Production Calculations
With METEO you can also calculate the gross and net energy output and capacity factor of a wind turbine in the measured wind regime at any hub height, accounting for the effects of varying wind shear and air density, by using the windPRO WTG catalogue with technical details of more than 1,000 turbine types.
Three wind data input types
The simple energy calculation that can be performed with the METEO module, consists in the integration the wind data with the WTG power curve at a selected hub height. Three wind data types are possible as an input:
Weibull, where the Weibull-fitted data from the measurements are integrated with the WTG power curve.
Measure, where the frequency table of measured wind data is directly integrated with the power curve.
Time series, where the measurements as time series are directly integrated with the power curve.
In all cases, a height correction of the measured data from the measuring height to hub height is calculated with the shear exponent. The shear exponent can be entered sector wise or automatically calculated for different day/night/seasonal conditions from additional measuring heights.
The power curve is adjusted for the local air density, which can be taken from the embedded climate database or calculated from local measurements.
METEO includes a variety of options to document your wind measurements either in predefined PDF report formats or export of any table or graph to PNG or Excel.
The METEO report generator includes a number of printouts and analysis options. The following printouts are available:
From the METEO Object:
The report provides a thorough documentation of the analyzed wind data. Data period and missing data, time series data are presented as: “Radar” graph, diurnal report, monthly distribution and time series, Weibull fit compared to measured data as a histogram and direction frequency, Turbulence for each direction and wind speed, wind speed difference. Basically, any graph available within the METEO object can be reported.
From the METEO calculation report:
Main Printout, Energy Production Analysis, Power Curve Analysis, Wind Data Analysis, Maps.