Data and Solutions
Windographer
Windographer quickly imports virtually every data format, allows rapid quality control and statistical analyses including MCP, and exports to all common wind flow models. Flexible filter and display settings give you a high degree of control, and fast updates mean you can change settings and see the effect immediately.
Access Data Quickly
See how Windographer can simplify your life.
Speed matters
Windographer quickly imports data from almost any format and automatically determines the data structure.
Import all kinds of data
Windographer reads virtually all data formats common to the wind power industry.
Intelligent data import
Windographer automatically identifies which columns contain wind speed, standard deviation, vertical wind speed, direction, temperature, pressure, and relative humidity data.
Combine multiple data files
The File > Append process adds data from one or more data files to an existing data set.
Dashboard-style summary
See the key information at a glance: vertical wind shear profile, wind frequency rose, seasonal and diurnal profiles, mean temperature, wind power density, wind shear coefficients and more.
Scrollable time series graphs
A unique time series graph allows you to zoom in and out, scroll forwards or backwards in time, show or hide data columns, and compare side-by-side all with single clicks.
Wind roses
Create many types of wind roses, including frequency by direction, mean value of any data column by direction, total wind energy by direction, and even polar scatterplots.
Frequency histograms
Plot frequency histograms for any data column. For wind speed data columns, Windographer overlays the best-fit Weibull distribution.
Flexible
Import all kinds of data
Windographer reads virtually all data formats common to the wind power industry, including met tower data from Renewable NRG Systems, SecondWind, Ammonit, Kintech, Campbell Scientific, and Wilmers, SoDAR data from ASC, AQSystem, and the Triton, LiDAR data from Windcube, Pentalum, and ZephIR, and modeled data from AWS Truepower, 3Tier, Vortex, and the UK Met Office.
Smart
Flag data segments based on visual inspection
By simply clicking and dragging on a time series graph or a scatter plot, you can manually apply flags to data segments to identify problems such as sensor malfunctions or icing events. Once you have applied flags, you can use those flags to filter data from graphs and calculations.
Adjustable
Measure-correlate-predict
The powerful new MCP module lets you compare and correlate with reference data, experiment with different time steps of comparison, solve for the optimal time offset, choose among several correlation algorithms, test which algorithm works best on your data, and compare your target data before and after the MCP process. Download long-term reference data for free.
Version 4.2.21 (Mar 22, 2021)
- Updated EPE export tab to reflect latest guidance from the Brazilian EPE.
- Added new module to calculate gap fill uncertainty with k-fold cross validation.
- Improved scatter plot legend to show regression line equation.
Version 4.2.20 (Dec 21, 2020)
- Added measurement heights and DRR to WindographerMCP Onsite Data summary table.
- Added 'frequency & energy by sector' display to WindographerMCP Onsite Data tab.
- Added option to include flag status in time series export files.
- Added measurement heights and DRR to WindographerMCP Onsite Data summary table.
- Added 'frequency & energy by sector' display to WindographerMCP Onsite Data tab.
Version 4.2.19 (Sep 9, 2020)
- Improved logic for identifying date/time data when importing raw data.
- Fixed bug causing occasional failure to import text files.
- Added to Export Data window the option to force North American number format.
Version 4.2.18 (Jul 1, 2020)
- Fixed bug where Representative Year window could not accept date range filter.
- Allowed import of Openwind MM3.2 files.
- Added 70th percentile of TI to turbulence-by-speed table to help support IEC 4th ed.
Version 4.2.17 (Jun 3, 2020)
- Improved Extended Summary report to show 18 sensors in Wind Speed Sensor Summary table.
- Made MCP algorithm performance test respect the date-range limitation of concurrent data.
- Fixed bug causing colorless color legends.
- Fixed bug in Hottel clear sky radiation model that introduced a half-hour time shift.
- Fixed bug where solar calculations failed to account for the difference between the longitude and the time zone standard meridian.
Version 4.2.16 (Apr 27, 2020)
- Improved appearance of tables in PDF reports.
- Added legend placement options to graph properties window.
- Fixed error causing crash in some circumstances when internet communication fails.
Version 4.2.15 (Feb 28, 2020)
- Improved Kintech data file import logic.
- Improved Configure Data Set window to rename child columns automatically with parent column.
Version 4.2.14 (Jan 27, 2020)
- Added mean of monthly means table to Tables tab.
- Fixed a bug stopping the process of generating a representative year.
Compare Editions
Can't decide which Editions to pick? We'll help you find the best pick.
Standard
Powerful analysis and quality control features
Data Management
Reads and interprets a huge variety of data files: text, Excel, RLD, RWD, NDF, NSD, STA, WND
Allows appending of new data into an existing data set
Lets you define calculated data columns like ratios, shear exponent, or rotor-equivalent wind speed
Allows you to adjust calibration, combine colocated anemometers, and fill gaps
Extrapolates speed, turbulence, direction, and temperature data to any height
Tracks all modifications you make to the data set
Exports text files, TAB files, and formats required by Openwind, WindSim, Meteodyn WT
Produces standardized formatted reports, which you can save in PDF format
Analysis Features
Allows analysis of turbulence, wind shear, and tower distortion
Lets you define quality control flags and flag data manually based on visual inspection
Allows you to choose from a large library of wind turbines and to compare energy output
Professional
Advanced analysis and automated quality control
Everything in Standard, plus:
Advanced Analysis & Automation
Features an MCP module for correlating with reference data
Allows you to compare multiple data sets graphically
Allows you to automate data flagging using flag rules
Automatically detects and flags the effects of tower shading
Allows analysis of extreme winds , inflow angle, and long term trends
Allows free download of ERA5 and MERRA-2 data
Creates a representative year of hourly data with no gaps
Enterprise
Advanced data management
