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Experimental and Computational Inves...
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ProQuest Information and Learning Co.
Experimental and Computational Investigations of Heat Transfer Systems in Fluoride Salt-Cooled High-Temperature Reactors.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Experimental and Computational Investigations of Heat Transfer Systems in Fluoride Salt-Cooled High-Temperature Reactors./
作者:
Hughes, Joel Thomas.
面頁冊數:
1 online resource (280 pages)
附註:
Source: Dissertation Abstracts International, Volume: 79-01(E), Section: B.
Contained By:
Dissertation Abstracts International79-01B(E).
標題:
Nuclear engineering. -
電子資源:
click for full text (PQDT)
ISBN:
9780355150070
Experimental and Computational Investigations of Heat Transfer Systems in Fluoride Salt-Cooled High-Temperature Reactors.
Hughes, Joel Thomas.
Experimental and Computational Investigations of Heat Transfer Systems in Fluoride Salt-Cooled High-Temperature Reactors.
- 1 online resource (280 pages)
Source: Dissertation Abstracts International, Volume: 79-01(E), Section: B.
Thesis (Ph.D.)--The University of New Mexico, 2017.
Includes bibliographical references
Fluoride salt-cooled high-temperature reactors (FHRs) face a number of challenges similar to those faced by other Generation IV advanced reactor concepts. Predicting heat transfer in these systems accurately and reliably is one major challenge. Another is ensuring the safety of these systems during challenging operating conditions across the design basis envelope. Finally, achieving good economics to compete in a modern power generation portfolio is necessary for moving any nuclear power plant concept past the pre-conceptual stage. This dissertation attempts to support, from a thermal-hydraulics research standpoint, the case that the FHR can attain these goals. The dissertation focuses on several aspects of the design. The common thread through the different studies is ultimately rooted in improving plant safety and economics.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9780355150070Subjects--Topical Terms:
655622
Nuclear engineering.
Index Terms--Genre/Form:
554714
Electronic books.
Experimental and Computational Investigations of Heat Transfer Systems in Fluoride Salt-Cooled High-Temperature Reactors.
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Source: Dissertation Abstracts International, Volume: 79-01(E), Section: B.
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Fluoride salt-cooled high-temperature reactors (FHRs) face a number of challenges similar to those faced by other Generation IV advanced reactor concepts. Predicting heat transfer in these systems accurately and reliably is one major challenge. Another is ensuring the safety of these systems during challenging operating conditions across the design basis envelope. Finally, achieving good economics to compete in a modern power generation portfolio is necessary for moving any nuclear power plant concept past the pre-conceptual stage. This dissertation attempts to support, from a thermal-hydraulics research standpoint, the case that the FHR can attain these goals. The dissertation focuses on several aspects of the design. The common thread through the different studies is ultimately rooted in improving plant safety and economics.
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This dissertation has four major contributions in support of the FHR: experimental investigation of a directional direct reactor auxiliary cooling system (DRACS) heat exchanger (DHX), experimental investigation of twisted versus plain tube heat transfer for molten salt heat exchangers, and two computational studies, one on DRACS reliability and one on heat exchanger optimization. The results for the four studies are presented and discussed. The directional DHX study was performed using a hydrodynamic experimental setup with water as a working fluid and heat transfer performance inferred. The experimental heat transfer work was performed using a simulant fluid, Dowtherm A, to match the important non-dimensional heat transfer parameters. The computational DRACS reliability study was performed using MATLAB and RELAP5-3D, and the computational heat exchanger optimization study was performed using Python and available metaheuristic algorithms. The implications of the various studies are tied together in the conclusions section, with suggestions for future work.
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