The PERFORMANCE CHECK module is used for analysis of the actual production of turbines and wind farms. The main purpose is to check if the turbines produce as expected and if not which production to expect with the knowledge gained after a period of operation. In addition, the module is a unique tool to test if calculation models and model input work properly or if the turbines perform according to their power curves. When detailed production data is available, the performance check offers a unique tool to calibrate EMD mesoscale data on a sector wise, daily and seasonally basis.

Different available approaches:

1) Wind index – Production prognoses

Based on monthly wind energy indexes and monthly production data, the expected long term wind index corrected production (WCP) is calculated. Additionally, a rough evaluation of lost production can be performed.

2) Wind speed – Performance check

Based on measured wind near (or EMD Mesoscale data) or on turbines a time varying PARK calculation is performed. With detailed production data (e.g. 10-min. or hourly), the analysis of calculated versus actual summarized by direction, season day/night, temperature, etc. gives both a model calibration/check as well as a detailed loss/poor performance check. Power curve validation is also an option having the right measurement setup.

PERF 1Method Descriptions

1) Wind index – Production prognoses

The wind index correction concept has since 1979 been used in Denmark. The wind energy index is simply based on measuring the available wind energy on a monthly basis taking the production from a large number of operating turbines and relates this to the long term average production.
Official wind energy indexes are not available in every country. Therefore a comprehensive tool is included which can calculate an index for a region or country based on wind data, e.g. the free MERRA data set.
Having the wind index and imported monthly production data, a graphic tool helps the user to analyze the data and do the correct filtering. The result will be the wind energy index corrected production (WCP). Further included are additional features such as loss estimator and uncertainty evaluator.

2) Wind speed – Performance check

The wind speed and direction based tool is a far more comprehensive tool for very detailed analyses of the performance. This tool does not only include the turbine performance, but also the calculation model and model setup performance. The basic concept is to run the calculation model, based on the measured wind using the same time steps as the available production data, and then compare actual and calculated production by aggregating directional sector, day/night, season, etc. A very important part of this tool is the filtering process – turbines are occasionally out of operation, which often makes it very difficult to test the performance. Having detailed calculated production to compare with the actual one in time steps, it is possible to isolate “normal operation” data and then use these for model calibration. When the model setup can reproduce “normal operation” in the time steps, it is possible to identify loss during non-operational hours and/or poor performing periods. The Wind speed performance check tool can really be an eye opener for finding both calculation model problems and turbine performance problems. An early identification of problems can result in improved revenues and prevention of previous mistakes to be repeated in future.

PERF 2Required Data / Data Import

Basis in this module is the “existing WTG object”. The structure of this object is expanded with a data structure containing time series of production and optionally also availability, wind speed and direction (nacelle). Also other data like pitch angle, rpm etc. can be added. The data can be copied directly from clipboard into the Existing WTG object form.

If the data amount is excessive, an advanced importer is available for loading the data from files into the WTG objects. The import process is much like the METEO object and can handle numerous and complex data structures.

The wind energy indices for Denmark are available in a built-in database, but the user can also create and maintain their own wind index databases.

Wind data has to be available in a METEO object, and can 1) be used to create a wind energy index or 2) to utilize the wind data in a time varying park calculation.

Analyzer Tools and Reporting

The picture shows some of the features in the module. Different calculation methods and several filters are available to isolate data to “normal operation”. Some of the graphic presentations and report pages are shown on the next page.



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