Predictive Modeling of a Buoyancy-Operated Cooling Tower Under Saturated Conditions—II: Optimal Best-Estimate Results with Reduced Predicted Uncertainties. (4th March 2017)

• Record Type: Journal Article
• Authors: Di Rocco, Federico; Cacuci, Dan G.; Badea, Madalina C.
• Is Part Of: Nuclear science and engineering. Volume 185:Number 3(2017)
• Page Start: 549
• Page End: 603
• Publication Date: 2017-03-04
• Subjects: Adjoint sensitivity analysis -- best-estimate predictions -- data assimilation; Nuclear energy -- Periodicals; Nuclear engineering -- Periodicals; Nuclear energy; Nuclear engineering; Periodicals; 539.705
• DOI: 10.1080/00295639.2017.1279943
• Languages: English
• ISSNs: 0029-5639

Abstract

Abstract: This paper provides the results of the adjoint sensitivity model developed in the accompanying Part I for a natural draft counter-flow cooling tower. The selected responses are (1) outlet air temperature, (2) outlet water temperature, (3) outlet water mass flow rate, (4) air outlet relative humidity, and (5) air mass flow rate. Explicit expressions for the best-estimate nominal values of the model parameters and responses are also provided, together with the best-estimate reduced standard deviations of the predicted model parameters and responses. The results stemming from this work show that the PM_CMPS procedure reduces the predicted standard deviations of all responses and model parameters.