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

  • Federico Di Rocco
  • , Dan G. Cacuci
  • , Madalina C. Badea
  • University of South Carolina

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)549-603
JournalNuclear Science and Engineering
Volume185
Issue number3
Early online date10 Mar 2017
DOIs
Publication statusPublished - Mar 2017
Externally publishedYes

Keywords

  • Adjoint sensitivity analysis
  • best-estimate predictions
  • data assimilation

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