Predictive Modeling of a Buoyancy-Operated Cooling Tower under Unsaturated Conditions: Adjoint Sensitivity Model and Optimal Best-Estimate Results with Reduced Predicted Uncertainties

Predictive Modeling of a Buoyancy-Operated Cooling Tower under Unsaturated Conditions: Adjoint Sensitivity Model and Optimal Best-Estimate Results with Reduced Predicted Uncertainties

Nuclear and other large-scale energy-producing plants must include systems that guarantee the safe discharge of residual heat from the industrial process into the atmosphere. This function is usually performed by one or several cooling towers. The amount of heat released by a cooling tower into the...

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Bibliographic Details
Main Authors: Federico Di Rocco, Dan Gabriel Cacuci
Format: Article
Language:English
Published: MDPI AG 2016-12-01
Series:Energies
Subjects:
cooling tower
adjoint sensitivity analysis
adjoint cooling tower model solution verification
data assimilation
model calibration
best-estimate predictions
reduced predicted uncertainties
Online Access:http://www.mdpi.com/1996-1073/9/12/1028

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http://www.mdpi.com/1996-1073/9/12/1028

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