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Dynamic Probabilistic Risk Assessment Based Response Surface Approach for FLEX and Accident Tolerant Fuels for Medium Break LOCA Spectrum

Author

Listed:
  • Asad Ullah Amin Shah

    (Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY 12180, USA)

  • Robby Christian

    (Idaho National Laboratory, Idaho Falls, ID 83415, USA)

  • Junyung Kim

    (Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY 12180, USA)

  • Jaewhan Kim

    (Korea Atomic Energy Research Institute, Daedeok-daero 989 Beon-gil, Yuseong-gu, Daejoen 34057, Korea)

  • Jinkyun Park

    (Korea Atomic Energy Research Institute, Daedeok-daero 989 Beon-gil, Yuseong-gu, Daejoen 34057, Korea)

  • Hyun Gook Kang

    (Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY 12180, USA)

Abstract

After the Fukushima Daiichi Accident, the safety features such as accident tolerant fuel (ATF) and diverse and flexible coping strategies (FLEX) for existing nuclear fleets are being investigated by the US Department of Energy under the Light Water Reactor Sustainability Program. This research is being conducted to quantify the risk-benefit of these safety features. Dynamic probabilistic risk assessment (DPRA)-based response-surface approach has been presented to quantify the FLEX and ATF benefits by estimating the risk associated with each option. ATFs with multilayered silicon carbide (SiC), iron-chromium-aluminum, and chromium-coated zirconium cladding were considered in this study. While these ATF candidates perform better than the current zirconium cladding (Zr), they may introduce additional failure modes in some operating conditions. The fuel failure analysis modules (FAMs) were developed to investigate ATF performance. The dynamic risk assessments were performed using RAVEN, a DPRA tool, coupled with RELAP5 and FAMs. A cumulative distribution function-based index provided a mean of comparing the benefits of safety enhancements. For medium break loss of coolant accidents, FLEX operational timing window for each fuel type was estimated. Among these ATF candidates, SiC-type ATF was the most beneficial candidate for an increased safety margin than Zr-based fuel and was found to complement FLEX strategies in terms of risk and coping time.

Suggested Citation

  • Asad Ullah Amin Shah & Robby Christian & Junyung Kim & Jaewhan Kim & Jinkyun Park & Hyun Gook Kang, 2021. "Dynamic Probabilistic Risk Assessment Based Response Surface Approach for FLEX and Accident Tolerant Fuels for Medium Break LOCA Spectrum," Energies, MDPI, vol. 14(9), pages 1-24, April.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:9:p:2490-:d:544308
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    References listed on IDEAS

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    1. Park, Jinkyun & Jung, Wondea, 2007. "OPERA—a human performance database under simulated emergencies of nuclear power plants," Reliability Engineering and System Safety, Elsevier, vol. 92(4), pages 503-519.
    2. Kim, Junyung & Shah, Asad Ullah Amin & Kang, Hyun Gook, 2020. "Dynamic risk assessment with bayesian network and clustering analysis," Reliability Engineering and System Safety, Elsevier, vol. 201(C).
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    Cited by:

    1. Gyunyoung Heo, 2022. "Advancements in Probabilistic Safety Assessment of Nuclear Energy for Sustainability," Energies, MDPI, vol. 15(2), pages 1-2, January.
    2. Stanisław Duer & Marek Woźniak & Jacek Paś & Konrad Zajkowski & Arkadiusz Ostrowski & Marek Stawowy & Zbigniew Budniak, 2023. "Reliability Testing of Wind Farm Devices Based on the Mean Time to Failures," Energies, MDPI, vol. 16(6), pages 1-13, March.
    3. I-Hua Chung, 2022. "Exploring the Influence of the Parameters’ Relationship between Reliability and Maintainability for Offshore Wind Farm Engineering," Energies, MDPI, vol. 15(15), pages 1-15, August.
    4. Jianhui Wu & Jingen Chen & Chunyan Zou & Xiaoxiao Li, 2022. "Accident Modeling and Analysis of Nuclear Reactors," Energies, MDPI, vol. 15(16), pages 1-3, August.
    5. Stanisław Duer & Marek Woźniak & Jacek Paś & Konrad Zajkowski & Dariusz Bernatowicz & Arkadiusz Ostrowski & Zbigniew Budniak, 2023. "Reliability Testing of Wind Farm Devices Based on the Mean Time between Failures (MTBF)," Energies, MDPI, vol. 16(4), pages 1-16, February.

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