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Environmental Business Council December 17, 2009
Wind Resource Assessment Patrick Quinlan University of Massachusetts Wind Energy Center Environmental Business Council December 17, 2009
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Wind and the Turbine Performance Design
Force related to square of wind speed Extremes affect ultimate loads Turbulence and means affect fatigue
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Time Scale of Winds Wind varies in time, space, direction
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Wind Shear: Power Law Power law model Exponent of 1/7
often assumed, usually much higher
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Wind Data Acquisition Systems
Typical wind data collection system for resource measurement Sensors + backups, at multiple heights Tower Data recorder (“Logger”); eg., UMass Minuteman Quality Assurance -- eg., UMass AQUA Data analysis and reporting
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Sample Wind Data Acquisition System
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Wind Sensors Cup anemometers - Frequency output
Wind vanes - Voltage output Maximum 40 anemometer and wind vane
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Remote Sensing: SODAR and LIDAR
Measures to high elevations without a tower Measures Doppler shift reflected from density inhomogeneities or particle reflections in atmosphere Good height resolution
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Presentation of Averaged Data
Time series of speed Time series of direction Wind frequency rose Wind speed rose Histogram of wind speeds Turbulence intensity vs. wind speed Wind shear profiles Diurnal averages
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Wind Roses Wind Frequency Rose Wind Speed Rose
Fraction of winds from direction sectors Wind Speed Rose Mean wind speed from each direction sector
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Histograms Histogram of wind speeds
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Turbulence Intensity Turbulence intensity vs. wind speed
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Wind Shear Wind shear and wind shear models
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Diurnal Averages
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University of Massachusetts
Questions? Patrick Quinlan University of Massachusetts Wind Energy Center
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