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22 April 2009Measurement of wind speed from cooling lake thermal imagery
The Savannah River National Laboratory (SRNL) collected thermal imagery and ground truth data at two commercial
power plant cooling lakes to investigate the applicability of laboratory empirical correlations between surface heat flux
and wind speed, and statistics derived from thermal imagery. SRNL demonstrated in a previous paper [1] that a linear
relationship exists between the standard deviation of image temperature and surface heat flux. In this paper, SRNL will
show that the skewness of the temperature distribution derived from cooling lake thermal images correlates with
instantaneous wind speed measured at the same location. SRNL collected thermal imagery, surface meteorology and
water temperatures from helicopters and boats at the Comanche Peak and H. B. Robinson nuclear power plant cooling
lakes. SRNL found that decreasing skewness correlated with increasing wind speed, as was the case for the laboratory
experiments. Simple linear and orthogonal regression models both explained about 50% of the variance in the skewness
- wind speed plots. A nonlinear (logistic) regression model produced a better fit to the data, apparently because the
thermal convection and resulting skewness are related to wind speed in a highly nonlinear way in nearly calm and in
windy conditions.
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Alfred J. Garrett, R. Cary Tuckfield, Eliel Villa-Aleman, Robert J. Kurzeja, Malcolm M. Pendergast, "Measurement of wind speed from cooling lake thermal imagery," Proc. SPIE 7299, Thermosense XXXI, 72990A (22 April 2009); https://doi.org/10.1117/12.817755