Development of Maintenance Method Model based on Digital-twin in Fire Protection systems of Operating Nuclear Power Plants

doi:10.15683/kosdi.2025.3.31.022

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2025 Vol.21, Issue 1 Preview Page Next Page

Original Article

Development of Maintenance Method Model based on Digital-twin in Fire Protection systems of Operating Nuclear Power Plants 가동원전 화재방호시스템의 디지털-트윈 기반 유지·보수 방법 모델 개발: 양현혁¹ㆍ고민혁²ㆍ김경민³ㆍ손은수⁴ㆍ김상일⁵ㆍ최두찬⁶*
Hyeon-Hyeok Yang¹, Min-Hyeok Ko², Kyeong-Min Kim³, Eun-Soo Son⁴, Sang-Il Kim⁵, Doo-Chan Choi⁶*; ¹Researcher, Future Initiative R&D Center, KF UBIS CO., Ltd., Seoul, Republic of Korea ²Chief Researcher, Future Initiative R&D Center, KF UBIS CO., Ltd., Seoul, Republic of Korea
³Researcher, Future Initiative R&D Center, KF UBIS CO., Ltd., Seoul, Republic of Korea
⁴General Manager, Future Initiative R&D Center, KF UBIS CO., Ltd., Seoul, Republic of Korea
⁵Vice President, KF UBIS CO., Ltd., Seoul, Republic of Korea
⁶Chief Executive Officer, KF UBIS CO., Ltd., Seoul, Republic of Korea

31 March 2025. pp. 22-30

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Abstract

Purpose: This study aims to develop a maintenance method for fire protection systems in operating nuclear power plants using digital-twin technology, focusing on enhancing the reliability of active systems and reducing Core Damage Frequency (CDF). Method: A sprinkler system was constructed, and a Digital-twin platform was developed using WebXR technology. The platform integrates real-time data collection, 3D modeling, and visualization of water flow in the sprinkler system. Result: The developed digital-twin platform successfully visualizes the sprinkler system’s operation, including water flow, pressure, and flow rate. It enables real-time monitoring, anomaly detection, and performance analysis of the fire protection system. Conclusion: The digital-twin based maintenance model offers a more efficient and proactive approach to maintaining fire protection systems in nuclear power plants. This potentially improves safety by enhancing the reliability of active systems and contributing to CDF reduction.

Keywords

Defense in Depth

Core Damage Frequency

Digital-twin

Sensor

Visualization

연구목적: 본 연구는 디지털-트윈 기술을 활용하여 가동원전의 화재방호시스템의 유지보수 방법을 개발하고, 이를 통해 Active 시스템의 신뢰성을 향상시키고 노심손상빈도(CDF)를 저감하는데 기여하는 것을 목표로 한다. 연구방법: 스프링클러 시스템의 테스트 베드를 구축하고, WebXR 기술을 이용하여 디지털 트윈 플랫폼을 개발하였다. 이 플랫폼은 실시간 데이터 수집, 3D 모델링, 스프링클러 시스템의 물 흐름 시각화를 통합한다. 연구결과: 개발된 디지털 트윈 플랫폼은 스프링클러 시스템의 작동, 물 흐름, 압력, 유량 등을 성공적으로 시각화하였다. 이를 통해 화재 방호 시스템의 실시간 모니터링, 이상 감지, 성능 분석이 가능해졌다. 결론: 디지털 트윈 기반 유지보수 방법 모델은 원자력발전소의 화재방호시스템 유지보수에 더욱 효율적이고 선제적인 접근 방식을 제공한다. 이는 Active 시스템의 신뢰성을 향상시키고, CDF 저감에 기여함으로써 잠재적으로 안전성을 개선이 가능하다 판단된다.

키워드

심층방어

노심손상빈도

디지털-트윈

센서

시각화

References

EPRI/NRC-RES (2005). Fire PRA Methodology for Nuclear Power Facilities (NUREG/CR-6850 and EPRI 1011989). Electric Power Research Institute and U.S. Nuclear Regulatory Commission, Office of Nuclear Regulatory Research, Palo Alto, CA and Washington, DC, US.

Hurley, M.J., Gottuk, D., Hall, J.R., Harada, K., Kuligowski, E., Puchovsky, M., Torero, J., Watts, J.M., Wieczorek, C. (2016). SFPE Handbook of Fire Protection Engineering, 5th Edition. Springer, New York, NY, US. 10.1007/978-1-4939-2565-0

IAEA (2021). Fire Protection in Nuclear Power Plants. IAEA Safety Standards Series No. SSG-64. Vienna, Austria.

Kim, D.C., Kwag, S.Y., Kim, J.T., Eem, S.H. (2022). "Research trends on external event identification and screening methods for safety assessment of nuclear power plant." Journal of the Society of Disaster Information, Vol. 18, No. 2, pp. 252-260.

NFPA (2015). NFPA 805: Performance-Based Standard for Fire Protection for Light Water Reactor Electric Generating Plants. National Fire Protection Association, Quincy, MA, US.

Son, M.H., Kweon, I.R. (2024). "Research on dispersion prediction technology and integrated monitoring systems for hazardous substances in industrial complexes based on AIoT utilizing Digital Twin." Journal of the Society of Disaster Information, Vol. 20, No. 3, pp. 484-499.

U.S.NRC (2009). Fire Protection for Nuclear Power Plants. Regulatory Guide 1.189. Washington D.C., US.

U.S.NRC (2020). Determining the Effectiveness, Limitations, and Operator Response for Very Early Warning Fire Detection Systems in Nuclear Facilities (NUREG-2180). Nuclear Regulatory Commission, Washington, DC: US.

Wang, J., Zhang, L., Duan, L., Gao, R.X. (2015). "A new paradigm of cloud-based predictive maintenance for intelligent manufacturing." Journal of Intelligent Manufacturing. Vol. 28, No. 5, pp. 1125-1137. 10.1007/s10845-015-1066-0

Yadav, V., Wells, A., Pope, C., Andrus, J., Chwasz, C., Trask, T., Eskins, D., Carlson, J., Ulmer, C., Chandran, N., Iyengar, R. (2022). Regulatory Considerations for Nuclear Energy Applications of Digital twin Technologies, U.S. N.R.C TLR-RES/DE/REB-2022-06. Washington D.C., US. 10.2172/1984814 35261474

Information

Publisher :The Korean Society of Disaster Information
Publisher(Ko) :한국재난정보학회
Journal Title :Journal of the Society of Disaster Information
Journal Title(Ko) :한국재난정보학회논문집
Volume : 21
No :1
Pages :22-30
DOI :https://doi.org/10.15683/kosdi.2025.3.31.022

[1] EPRI/NRC-RES (2005). Fire PRA Methodology for Nuclear Power Facilities (NUREG/CR-6850 and EPRI 1011989). Electric Power Research Institute and U.S. Nuclear Regulatory Commission, Office of Nuclear Regulatory Research, Palo Alto, CA and Washington, DC, US.

[2] IAEA (2021). Fire Protection in Nuclear Power Plants. IAEA Safety Standards Series No. SSG-64. Vienna, Austria.

[3] Kim, D.C., Kwag, S.Y., Kim, J.T., Eem, S.H. (2022). "Research trends on external event identification and screening methods for safety assessment of nuclear power plant." Journal of the Society of Disaster Information, Vol. 18, No. 2, pp. 252-260.

[4] NFPA (2015). NFPA 805: Performance-Based Standard for Fire Protection for Light Water Reactor Electric Generating Plants. National Fire Protection Association, Quincy, MA, US.

[5] Son, M.H., Kweon, I.R. (2024). "Research on dispersion prediction technology and integrated monitoring systems for hazardous substances in industrial complexes based on AIoT utilizing Digital Twin." Journal of the Society of Disaster Information, Vol. 20, No. 3, pp. 484-499.

[6] U.S.NRC (2009). Fire Protection for Nuclear Power Plants. Regulatory Guide 1.189. Washington D.C., US.

[7] U.S.NRC (2020). Determining the Effectiveness, Limitations, and Operator Response for Very Early Warning Fire Detection Systems in Nuclear Facilities (NUREG-2180). Nuclear Regulatory Commission, Washington, DC: US.

[8] Wang, J., Zhang, L., Duan, L., Gao, R.X. (2015). "A new paradigm of cloud-based predictive maintenance for intelligent manufacturing." Journal of Intelligent Manufacturing. Vol. 28, No. 5, pp. 1125-1137. 10.1007/s10845-015-1066-0

[9] Yadav, V., Wells, A., Pope, C., Andrus, J., Chwasz, C., Trask, T., Eskins, D., Carlson, J., Ulmer, C., Chandran, N., Iyengar, R. (2022). Regulatory Considerations for Nuclear Energy Applications of Digital twin Technologies, U.S. N.R.C TLR-RES/DE/REB-2022-06. Washington D.C., US. 10.2172/1984814 35261474

Journal of the Society of Disaster Information ISSN:1976-2208(Print) 2671-5287(Online) 한국재난정보학회논문집

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