This document discusses the parameters, instruments, and processes involved in analyzing the uncertainty and validating the power curve of a wind turbine or wind farm. It mentions factors related to weather, machines, instruments, and measurements that contribute to errors in assessing wind speed, power coefficient, annual energy production, and other metrics. The key steps involve measuring these parameters using calibrated anemometers, wind vanes, and data acquisition systems, analyzing the resulting data while accounting for biases, random errors, and sensitivity factors, and obtaining certification from an accredited institution to guarantee the wind turbine's power production levels.

1. Machine & Weather related
Wind speed
Electric power, Power coefficient.
Annual Energy Production, Availability
Weather ONLY related
Pressure
Temperature
Humidity
Wind direction, wind speed.
Instrument (Sensor) related
Anemometer - calibration, mounting,
communication cable, Data acquisition system
(DAQ) - D/A – A/D converters, Filters
Wind vane - calibration constant, scale, Boom
UNCERTAINTY ANALYSIS, VERIFICATION & VALIDATION OF POWER CURVE – WIND TURBINE/FARM
ERRORS
BIAS
RANDOM
(includes distribution
coefficients)
TOTAL1
1. Root sum squared of
bias, random errors
PARAMETER(S)
SENSITIVITY FACTOR(S)
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POWER
CURVE
GUARANTEE
(Model)
TESTING
(Field & Lab)
DATA
ASSESSMENT
CUSTOMER
(Manufacturer, project
developer, utility etc.)
DATA SAMPLING/ ACCURACY
Bin width or interval
# of data sets,
Δ – kWh, %, Hysteresis
Δ – N/mm2
Δ – OC
Δ – degrees, Δ – m/s
Hysteresis , Round off
Cable Impedance.
Directional error - degrees,
Offset, length
MEASUREMENT
& TESTING
INSTITUTE
ACCREDITATION /
CERTIFICATION BODY
NET ANNUAL POWER
PRODUCTION
P50, P75, P90, P99
CERTIFICATE /COMPLIANCE
STATEMENT
MEASUREMENT
(Field)
RELATIVE ERROR
+
= (~)
Statistical quantification
Manufacturer
Guaranteed
Turbine
Measured
Prototype
Turbine Tested
Comparisons
Wind Resource
Data