The power curve is the tool of choice to monitor and readily detect a wide range of issues affecting the wind turbine production.
However, power curves can be hard to interpret when the wind availability and environmental conditions change every month.
Windfit Performance Index combines production and wind speed data from SCADA with the high frequency compass and environmental parameters captured by the Windfit sensor to produce a stabilized performance index.
Optimized for sensitivity, Windfit Performance Index measures the performance of the turbine itself and detects performance issues as soon as possible while ignoring seasonal and random external variations.
At the same wind speed, a dense cold wind stores much more energy than a light hot one. Measuring the performance of a wind turbine can be very misleading if you only consider the wind speed. Thanks to its environmental sensors, Windfit is able to compensate for the variations in air density.
Regarding variations in wind turbulence, Windfit also filters wake sectors using its autocalibrating compass. This further stabilizes the Performance Index and allows for reliable long term trend comparison.
In addition to the Performance Index, Windfit generates a power curve from real measurements and compares it against the manufacturer's reference.
Log in to your dedicated and secure Windfit dashboard from anywhere.
Efficiently compare and prioritize all your wind turbines.
Drill down on each monthly power curve and analyze individual events.
Detect slowly degrading problems and regain the performance of the first days.
The measurement system is concentrated in a single module, quickly and easily installed in less than an hour and completely independent from the SCADA.
The Windfit module integrates various sensors such as a compass, a thermometer and a barometer. It autonomously selects optimal conditions for data acquisition, processing, and transmission to the web platform.
The Windfit web platform ensures the quality, processing and secure storage of information.
Detect long term and emerging performance issues
Compare wind turbines across farms and manufacturers
Review complete history of all past diagnosis
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