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University of Ontario Institute of Technology

Specifics of forced-convection heat transfer to supercritical water flowing upward in annular and bundle flow geometries

Abstract

dc:description.abstract

Since annulus- and bundle-flow geometries impede coolant flow, heat transfer to the coolant would occur differently than in bare tubes. The main objective of this work is to propose and verity a universal method to accurately predict Heat Transfer Coefficients (HTCs) and wall temperatures using HTC correlation(s) for various annular- and bundle-flow geometries cooled with upward flow of SCW. The bare tube correlation proposed by Jackson (2002) [3] predicted heat transfer within experimental uncertainties for most trials and, to some extent, followed wall temperature trends in regions of Deteriorated Heat Transfer (DHT). However, it was found that, in general, most bare tube HTC correlations could not be used beyond onset of DHT in bare tubes. Furthermore, analysis of the experimental data showed that the heat flux at which DHT appears in bare tubes is significantly lower (up to three times) than in single-rod and 3-rd bundle channels.

Degree

thesis:*
Name thesis:degree_name
Master of Applied Science (MASc)
Discipline thesis:degree_discipline
Nuclear Engineering
Grantor
University of Ontario Institute of Technology
Year dc:date.issued
2016

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Sidawi, Khalil
Advisor dc:contributor.advisor
  • Pioro, Igor

Subjects

dc:subject × 4

Rights

Language dc:language.iso
en

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/10155/699
OAI identifier oai:identifier
oai:ontariotechu.scholaris.ca:10155/699

Chain of custody

source
Harvested from
Ontario Institute of Technology
Base URL
ontariotechu.scholaris.ca/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Sidawi, Khalil. Specifics of forced-convection heat transfer to supercritical water flowing upward in annular and bundle flow geometries. University of Ontario Institute of Technology, 2016. https://hdl.handle.net/10155/699