Berru-Cms Application To Savannah River National Laboratory’s F-Area Cooling Towers

  • Dan Gabriel Cacuci


The BERRU-CMS methodology is applied in this Chapter to the model of a mechanical draft cooling tower (MDCT) located at Savannah River National Laboratory (SRNL) in order to improve the predictions of this model by combining computational information with measurements of outlet air humidity, outlet air and outlet water temperatures. At the outlet of this cooling tower, where measurements of the quantities of interest are available, the BERRU-CMS methodology reduces the predicted uncertainties for these quantities to values that are smaller than either the computed or the measured uncertainties. The BERRU-CMS methodology has also been applied to reduce the uncertainties for quantities of interest inside the tower’s fill section, where no direct measurements are available. The maximum reductions of uncertainties occur at the locations where direct measurements are available. At other locations, the predicted response uncertainties are reduced by the BERRU-CMS methodology to values that are smaller than the modeling uncertainties arising from the imprecisely known model parameters.


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.University of South CarolinaColumbiaUSA

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