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Predictive Modeling of a Buoyancy-Operated Cooling Tower Under Saturated Conditions-II: Optimal Best-Estimate Results with Reduced Predicted Uncertainties. / Di Rocco, Federico; Cacuci, Dan G.; Badea, Madalina C.
In: Nuclear Science and Engineering, Vol. 185, No. 3, 03.2017, p. 549-603.

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Di Rocco F, Cacuci DG, Badea MC. Predictive Modeling of a Buoyancy-Operated Cooling Tower Under Saturated Conditions-II: Optimal Best-Estimate Results with Reduced Predicted Uncertainties. Nuclear Science and Engineering. 2017 Mar;185(3):549-603. Epub 2017 Mar 10. doi: 10.1080/00295639.2017.1279943

Author

Di Rocco, Federico ; Cacuci, Dan G. ; Badea, Madalina C. / Predictive Modeling of a Buoyancy-Operated Cooling Tower Under Saturated Conditions-II: Optimal Best-Estimate Results with Reduced Predicted Uncertainties. In: Nuclear Science and Engineering. 2017 ; Vol. 185, No. 3. pp. 549-603.

RIS

TY - JOUR

T1 - Predictive Modeling of a Buoyancy-Operated Cooling Tower Under Saturated Conditions-II: Optimal Best-Estimate Results with Reduced Predicted Uncertainties

AU - Di Rocco, Federico

AU - Cacuci, Dan G.

AU - Badea, Madalina C.

PY - 2017/3

Y1 - 2017/3

KW - Adjoint sensitivity analysis

KW - best-estimate predictions

KW - data assimilation

U2 - 10.1080/00295639.2017.1279943

DO - 10.1080/00295639.2017.1279943

M3 - Article

VL - 185

SP - 549

EP - 603

JO - Nuclear Science and Engineering

JF - Nuclear Science and Engineering

SN - 0029-5639

IS - 3

ER -