• Title/Summary/Keyword: CRIEPI

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REVIEW AND FUTURE ISSUES ON SPENT NUCLEAR FUEL STORAGE

  • Saegusa, T.;Shirai, K.;Arai, T.;Tani, J.;Takeda, H.;Wataru, M.;Sasahara, A.;Winston, P.L.
    • Nuclear Engineering and Technology
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    • v.42 no.3
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    • pp.237-248
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    • 2010
  • The safety of metal cask and concrete cask storage technology has been verified by CRIEPI through several research programs on demonstrative testing for the interim storage of spent fuel. The results have been reflected in the safety requirements for dry casks issued by NISA/METI (Nuclear and Industrial Safety Agency, Ministry of Economy, Trade and Industry) of the Japanese government. On top of that, spent fuel integrity has been studied by the Japan Nuclear Energy Safety Organization (JNES). This paper reviews these research programs. Future issues include the long-term integrity of cask components and high burn-up spent fuel.

Development of a human reliability analysis (HRA) guide for qualitative analysis with emphasis on narratives and models for tasks in extreme conditions

  • Kirimoto, Yukihiro;Hirotsu, Yuko;Nonose, Kohei;Sasou, Kunihide
    • Nuclear Engineering and Technology
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    • v.53 no.2
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    • pp.376-385
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    • 2021
  • Probabilistic risk assessment (PRA) has improved its elemental technologies used for assessing external events since the Fukushima Daiichi Nuclear Power Station Accident in 2011. HRA needs to be improved for analyzing tasks performed under extreme conditions (e.g., different actors responding to external events or performing operations using portable mitigation equipment). To make these improvements, it is essential to understand plant-specific and scenario-specific conditions that affect human performance. The Nuclear Risk Research Center (NRRC) of the Central Research Institute of Electric Power Industry (CRIEPI) has developed an HRA guide that compiles qualitative analysis methods for collecting plant-specific and scenario-specific conditions that affect human performance into "narratives," reflecting the latest research trends, and models for analysis of tasks under extreme conditions.

Computation of Super High-Resolution Global Ocean Model using Earth Simulator

  • Kim, Dong-Hoon;Norikazu Nakashiki;Yoshikatsu Yoshida;Takaki Tsubono;Frank O. Bryan;Richard D.Smith;Mathew E. Maltrud;Matthew W. Hecht;Julie L. McClean
    • Proceedings of the Korean Society of Coastal and Ocean Engineers Conference
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    • 2003.08a
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    • pp.164-169
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    • 2003
  • The need fur higher grid resolution in climate models is often discussed (e.g. McAvaney et al.,2001) because a number of important oceanic processes are not resolved by the current generation of coupled models, e.g., boundary currents, mesoscale eddy fluxes, sill through flows. McClean et al., (1997) and Bryan and Smith (1998) have compared simulated mesoscale variability in simulations at several eddy-resolving resolutions to TOPEX/Poseidon and similar data. (omitted)

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Generation of a skeletal mechanism of coal combustion based on the chemical pathway analysis

  • Ahn, Seongyool;Watanabe, Hiroaki;Shoji, Tetsuya;Umemoto, Satoshi;Tnno, Kenji
    • 한국연소학회:학술대회논문집
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    • 2014.11a
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    • pp.5-7
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    • 2014
  • A skeletal mechanism of coal combustion was derived from a detailed coal combustion kinetic mechanism through an importance analysis of chemical pathways. The reduction process consists of roughly two parts. The first process is performed based on a connectivity analysis between species. In this process, DRGEPSA is chosen for reduction process. Strongly connected species and related reactions from the important species set as start species by the operator are sorted into the reduced mechanism. About 70% of species and reactions can be removed with a limited accuracy loss. Subsequently the second reduction process, CSP, is performed. This method focuses on an importance of each reaction and can reduce a volume of mechanism appropriately. Through these analyses, a skeletal mechanism is generated that is including 65 species and 150 reactions. The generated skeletal mechanism is verified through a comparison with the detailed mechanism in the homogeneous reactor model of CHEMKIN-PRO under wide range of conditions. The generated mechanism can give an advantage in the analysis of coal combustion characteristics in detail in large scale simulations such as LES and DNS.

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Analysis of Flashover Rate by Lightning in Korea Distribution Line using CRIEPI Method (CRIEPI 방식을 이용한 국내 가공 배전선로에서의 뇌 섬락률 산정)

  • Choi, Sun-Kyu;Seo, Hun-Chul;Han, Jun;Kim, Chul-Hwan;Lee, Byung-Sung
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.62 no.1
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    • pp.1-7
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    • 2013
  • This paper analyzes the flashover rate by lightning in Korea distribution system. Because of random characteristics of lightning, the Monte Carlo method is applied to estimate the lightning performance. The magnitude of lightning stroke is based on the curve measured in field. The classification of direct and indirect lightning depends on the striking distance. The striking distance and flashover rate are calculated by using the method based on Central Research Institute of Electric Power Industry(CRIEPI). The distribution system and lightning is modeled by using EMTP and MATLAB, and the accuracy of modeling is discussed. The simulations for the various spacing between two adjacent surge arresters and the various grounding resistance of GW according to the existence of GW are performed and the simulation results are analyzed.

해외동향

  • Korea Electrical Manufacturers Association
    • NEWSLETTER 전기공업
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    • no.98-17 s.210
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    • pp.26-41
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    • 1998
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해외동향

  • Korea Electrical Manufacturers Association
    • NEWSLETTER 전기공업
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    • no.99-9 s.226
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    • pp.22-43
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    • 1999
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해외동향

  • Korea Electrical Manufacturers Association
    • NEWSLETTER 전기공업
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    • no.97-24 s.193
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    • pp.25-35
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    • 1997
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Partial Discharge Pattern Recognition using Neural Network (뉴우럴 네트워크에 의한 부분방전 패턴 인식)

  • Lee, June-Ho;Hozumi, Naohiro;Okamoto, Tatsuki
    • Proceedings of the KIEE Conference
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    • 1995.07c
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    • pp.1304-1306
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    • 1995
  • In this study, a neural network algorithm through a data standardization method was developed to discriminate the phase-shifted partial discharge(PD) patterns such as a $\phi$-q-n pattern. Considering the PD measurement in the field, it is not so easy to acquire absolute phase angles of PD pulses. As a consequence, one of the significant problems to be solved in applying the neural network algorithm to practical systems is to develop a method that can discriminate phase-shifted $\phi$-q-n patterns. Therefore, authors established a new method which could convert phase-shifted $\phi$-q-n patterns to a standardized $\phi$-q-n pattern which was not influenced by phase shifting. This new standardization method improved the recognition performance of a neural network for the phase-shifted $\phi$-q-n patterns considerably.

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