List

3

 

The commercial nuclear power industry is interested in advanced fuels that can produce higher power levels with a higher safety margin and be manufactured at low cost. Requirements of advanced fuels are as follows: high thermal conductivity, chemical stability (low reactivity with water) and low manufacturing cost. Although UO2 fuel is chemically stable, its thermal conductivity is low. In the nuclear engineering field, the thermal conductivity of fuels is a very important parameter for the optimum design and safety analysis of a nuclear system. This is because the thermal conductivity of fuels significantly affects the internal energy of the nuclear fuel by heat transfer through the coolant. Therefore, the safety analysis using fuel thermal conductivity is necessary for the prediction of thermal-hydraulic behavior. If graphene is mixed in UO2 fuel, it is chemically stable and its thermal conductivity will be enhanced. The benefits increased monotonically with increasing thermal conductivity in terms of reduced radial fuel rod temperature and peak cladding temperature (PCT). It is confirmed that the UO2/graphene composite fuel can lower the radial fuel rod temperature and peak cladding temperature during LBLOCA (Large Break Loss of Coolant Accident) through the MARS-KS (Multi-dimensional Analysis of Reactor Safety-Korean Standard) code.

 

1_1

 

Fig. 1-1  Radial fuel rod temperature according to volume fraction of UO2/Graphene composite fuel when the cladding material is Zirlo

1_2

 

Fig. 1-2  Cladding surface temperature according to volume fraction of UO2/Graphene when the cladding material is Zirlo

 

 

  Posts

1 2 5
January 4th, 2024

2023 Conferences

Conference Ji Yong Kim, Seung Chang Yoo, Joo Hyung Seo, Ji Hyun Kim, In Cheol Bang, Design and Construction of Fluid-to-Fluid […]

January 4th, 2024

2023 Journals

Journals Ik Jae Jin, Do Yeong Lim, In Cheol Bang, Deep-learning-based system-scale diagnosis of a nuclear power plant with multiple infrared […]

June 5th, 2023

2022 Conferences

Conference Do Yeong Lim, Ik Jae Jin, In Cheol Bang, Convolutional Neural Network-based Boiling Regime Determination Using Acoustic Emission Signal […]

June 5th, 2023

2022 Journals

Journals Min Ho Lee, Ji-Hwan Hwang, Ki Hyun Choi, Dong Wook Jerng, In Cheol Bang*, Application of two different similarity laws […]

April 7th, 2022

2021 Conferences

Conference Ji Yong Kim, In Cheol Bang, Preliminary study on the boiling heat transfer performance of R-123 refrigerant with nano-porous aluminium […]

April 7th, 2022

2021 Journals

Journals Seok Bin Seo, In Cheol Bang*, Hisashi Ninokata, Antonio Cammi, Application of adjoint-based sensitivity analysis to natural circulation of […]

January 5th, 2020

2020 Conferences

Conference Do Yeong Lim, In Cheol Bang, Artificial Intelligence-based Phase-Change Regime Classification of Acoustic Emission Detection in Pool Boiling, Transactions of […]

January 5th, 2020

2020 Journals

Journals Yeong Shin Jeong, Ji Yong Kim, In Cheol Bang*, Enhanced Heat Transfer and Reduced Pressure Loss with U-pattern of […]

July 9th, 2019

2019 Conferences

Conference Kyung Mo Kim, Nam Ki Lee, In Cheol Bang, Activities of Haeorum Alliance Nuclear Innovation Center for Improved Public Acceptance […]

February 20th, 2019

2018 Conferences

Conference Han Eol Park, Seok Bin Seo, In Cheol Bang, Nu-HOPE: The Experimental Platform for Heat Transfer Characteristics of Molten […]