Improved temperature retrieval methods for the validation of a hydrodynamic simulation of a partially frozen power plant cooling lake

May V. Casterline; Carl Salvaggio; Alfred J. Garrett; Brent D. Bartlett; Jason W. Faulring; Philip S. Salvaggio

doi:10.1117/12.850280

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3 May 2010 Improved temperature retrieval methods for the validation of a hydrodynamic simulation of a partially frozen power plant cooling lake

May V. Casterline, Carl Salvaggio, Alfred J. Garrett, Brent D. Bartlett, Jason W. Faulring, Philip S. Salvaggio

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Proceedings Volume 7661, Thermosense XXXII; 766106 (2010) https://doi.org/10.1117/12.850280
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

The ALGE code is a hydrodynamic model developed by Savannah River National Laboratory (SRNL) to derive the power output levels of an electric generation facility from observing the associated cooling pond with an aerial imaging platform. Over the past two years work has been completed to extend the capabilities of the model to incorporate snow and ice as possible phenomena in the modeled environment. In order to validate the extension of the model, intensive ground truth data as well as high-resolution aerial infrared imagery were collected during the winters of 2008-2009 and 2009-2010, for a combined eight months of data collection. Due to the harsh and extreme environmental conditions automatic data collection instruments were designed and deployed. Based on experience gained during the first collection season and equipment design failures, overhauls in the design and operation of the automated data collection buoys were performed. In addition, a more thorough and robust twofold calibration technique was implemented within the aerial imaging chain to assess the accuracy of the retrieved surface temperatures. By design, the calibration method employed in this application uses ground collected, geolocated water surface temperatures and in-flight blackbody imagery to produce accurate temperature maps of the pond in interest. A sensitivity analysis was implemented within the data reduction technique to produce accurate sensor reaching temperature values using designed equipment and methods for temperature retrieval at the water's surface.

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May V. Casterline, Carl Salvaggio, Alfred J. Garrett, Brent D. Bartlett, Jason W. Faulring, and Philip S. Salvaggio "Improved temperature retrieval methods for the validation of a hydrodynamic simulation of a partially frozen power plant cooling lake", Proc. SPIE 7661, Thermosense XXXII, 766106 (3 May 2010); https://doi.org/10.1117/12.850280

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