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An improved two-temperature method for computing the temperature distributions within a TRISO-coated particle pebble fuel

Yu, Dali ; Wang, Fangnian ORCID iD icon 1; Mei, Huaping; Cheng, Xiongwei; Duan, Chengjun
1 Institut für Thermische Energietechnik und Sicherheit (ITES), Karlsruher Institut für Technologie (KIT)

Abstract:

With the world’s first pebble-bed modular high-temperature gas-cooled reactor beginning commercial operation in China, the tristructural-isotropic (TRISO) coated particle pebble fuel technology has garnered significant research interest and widespread attention. In light of the fact that temperature gradients within a pebble fuel may span several hundred degrees Celsius, it becomes imperative to attain a more precise and rapid
determination of the internal temperature distribution. This work first developed an Improved Two-temperature Method (ITM) based on the analogous nature of heat and neutron diffusion processes, with deriving equations for three parameters 𝑘𝑓 , 𝑘𝑚, and 𝜇, to achieve higher accuracy and wider application range. Then, seven tests were implemented for validating the ITM through comparing with finite element method, which can be considered identical with the analytic solution. Results show that the ITM can provide very accurate predictions of the peak temperature of both the fuel particles and the matrix. Finally, analysis of the influences of packing fraction and particle diameter on the temperature distribution within a pebble fuel, has been investigated, and it was found that there are two competing mechanisms resulting in the optimized design occurs at the packing fraction of 0.05, and the smallest particle diameter of 0.2 mm. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000179616
Veröffentlicht am 28.02.2025
Originalveröffentlichung
DOI: 10.1016/j.net.2025.103515
Scopus
Zitationen: 2
Web of Science
Zitationen: 2
Dimensions
Zitationen: 2
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Thermische Energietechnik und Sicherheit (ITES)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 07.2025
Sprache Englisch
Identifikator ISSN: 1738-5733, 0372-7327, 2234-358X
KITopen-ID: 1000179616
HGF-Programm 32.12.02 (POF IV, LK 01) Beyond Design Basis and Emergency Management
Erschienen in Nuclear Engineering and Technology
Verlag Elsevier
Band 57
Heft 7
Seiten 103515
Bemerkung zur Veröffentlichung In Press, Corrected Proof
Nachgewiesen in OpenAlex
Web of Science
Dimensions
Scopus
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