A power performance field test campaign has been run on a 2.4 kW rated small horizontal axis wind turbine. The wind-electric system has been instrumented with power and meteorological sensors with the goal of developing a field-test facility with the capability of performing comprehensive power production and rotor aerodynamics studies. A power curve has been resolved for the wind turbine using the method of bins and filtering data based on the environmental characteristics of the test site. Field test results agree well with similar data campaigns available through the Small Wind Certification Council and the turbine manufacturer. Comparisons are made between various averaging intervals (30-sec and 60-sec) along with an assessment of how differing averaging intervals change correlation between power and meteorological metrics. Some insight into how obstructions at the test site affect data correlation and the "bin method" analysis are given. WT_Perf was used to produce computational performance predictions for the wind turbine rotor. Comparisons between WT_Perf and field test data show reasonable agreement between the data sets when analyzing the operational wind speed and rotational speed envelopes of the wind turbine.
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