• Title/Summary/Keyword: Neutron visualization

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The Heat Management of PEM Fuel Cell Stack (운전 조건에 따른 PEMFC 스택 열 관리)

  • Son, Ik-Jae;Lee, Jong-Hyun;Nam, Gi-Young;Ko, Jae-Jun;Ahn, Byung-Ki
    • Transactions of the Korean hydrogen and new energy society
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    • v.21 no.3
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    • pp.184-192
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    • 2010
  • PEM fuel cell produces electric power, water and heat by the electrochemical reaction of hydrogen and oxygen. The heating value is dependent on the molar enthalpy of vaporization of product water and the performance loss. In this paper, the heating value of fuel cell stack has been studied under various stack operating temperatures to achieve more efficient heat management. A technology using the molar enthalpy of vaporization of product water is suggested to reduce heat-up time during start-up of a fuel cell vehicle.

Development of deep autoencoder-based anomaly detection system for HANARO

  • Seunghyoung Ryu;Byoungil Jeon ;Hogeon Seo ;Minwoo Lee;Jin-Won Shin;Yonggyun Yu
    • Nuclear Engineering and Technology
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    • v.55 no.2
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    • pp.475-483
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    • 2023
  • The high-flux advanced neutron application reactor (HANARO) is a multi-purpose research reactor at the Korea Atomic Energy Research Institute (KAERI). HANARO has been used in scientific and industrial research and developments. Therefore, stable operation is necessary for national science and industrial prospects. This study proposed an anomaly detection system based on deep learning, that supports the stable operation of HANARO. The proposed system collects multiple sensor data, displays system information, analyzes status, and performs anomaly detection using deep autoencoder. The system comprises communication, visualization, and anomaly-detection modules, and the prototype system is implemented on site in 2021. Finally, an analysis of the historical data and synthetic anomalies was conducted to verify the overall system; simulation results based on the historical data show that 12 cases out of 19 abnormal events can be detected in advance or on time by the deep learning AD model.

Visualization and 3D Numerical Analysis of the Circulation Flow of the Neutron Moderator in a Heavy-Water Nuclear Reactor (가압중수형 원자로의 중성자 감속재 순환 유동가시화와 삼차원 전산해석)

  • Eom, Tae-Kwang;Lee, Jae-Young
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.36 no.2
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    • pp.189-196
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    • 2012
  • The heavy moderator acts as the ultimate heat-sink in an operating CANDU reactor. HUKINS has been developed to investigate moderator flow patterns. HUKINS consists of a 38.4-mm-thick cylindrical shell with a 0.95 m inner diameter and 88 sus-tubes that produce a total heat of 10 kW. A chemical visualization method was selected to estimate the occurrence of typical moderator flow patterns. Momentum-dominated flow, mixed flow, and buoyancy-dominated flow are detected under conditions of a heat load of 7.7 kW and input mass flow rates of 4, 7, and 11 L/min. The experimental results are similar to the results of a CFD simulation that consisted of approximately 1.9 million grids and was conducted using the k-${\varepsilon}$ turbulence model. Therefore, both the present experiments and simulations using HUKINS, a 1/8-scale model, represent all three important flow patterns expected in the real CANDU6 reference reactor. Thus, it has been demonstrated that HUKINS could be useful in the study of CANDU6 moderator circulation.