Abstract
This paper presents a reliability model for digital reactor protection systems (RPSs) in floating nuclear power plants (FNPPs) that accounts for both the internal characteristics of RPS and the external environment. The internal characteristics of RPS include independent failures and common-cause failures (CCFs) of components, repair behavior, and actuation logic degradation. For the external environment, we incorporated a parts-pressure method and used the environmental factors to describe the impact of marine environment at component level. Detailed Monte Carlo simulation (MCS) algorithm was proposed to solve the reliability models with different environmental factors, and the results showed that the maximum value of the environmental factor was 3.2 under the requirements that the probability for RPS failing to generate the trip signal does not exceed 1 × 10−5 and the spurious trip frequency does not exceed one time per year. Reliability indexes, such as failure probability and spurious trip frequency, were also derived. The 90 % confidence intervals of these two indexes were further calculated in the uncertainty analysis by using the kernel density estimation (KDE) approach.
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Research ethics: Not applicable.
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Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Competing interests: The authors state no conflict of interest.
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Research funding: None declared.
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Data availability: The raw data can be obtained on request from the corresponding author.
References
Bao, H., Shorthill, T., Chen, E., Park, J., Zhang, S., Jayakumar, A., Elks, C., Dinh, N., Ban, H., Zhang, H., et al.. (2022). An integrated framework for risk assessment of high safety-significant safety-related digital instrumentation and control systems in nuclear power plants: methodology and demonstration. INL/RPT-22-68656. Idaho National Laboratory, Idaho Falls, ID.10.2172/1924498Search in Google Scholar
Bao, H., Zhang, H., Shorthill, T., Chen, E., and Lawrence, S. (2023a). Quantitative evaluation of common cause failures in high safety-significant safety-related digital instrumentation and control systems in nuclear power plants. Reliab. Eng. Syst. Saf. 230: 108973, https://doi.org/10.1016/j.ress.2022.108973.Search in Google Scholar
Bao, H., Shorthill, T., Chen, E., Park, J., Kim, J., Turkmen, G., Ban, H., Dinh, N., Aldemir, T., Zhang, S., et al.. (2023b). An integrated framework for risk assessment of high safety-significant safety-related digital instrumentation and control systems in nuclear power plants: methodology refinement and exploration. INL/RPT-23-74412. Idaho National Laboratory, Idaho Falls, ID.10.2172/2000866Search in Google Scholar
Belyaev, V.M., Bol’shukhin, M.A., Pakhomov, A.N., Khizbullin, A.M., Lepekhin, A.N., Polunichev, V.I., Veshnyakov, K.B., Sokolov, A.N., and Turusov, A.Y. (2020). The world’s first floating NPP: origination and direction of future development. Atom. Energy 129: 27–34, https://doi.org/10.1007/s10512-021-00707-w.Search in Google Scholar
Chu, T.L., Yue, M., Martinez-Guridi, G., Mernick, K., Lehner, J., and Kuritzky, BNL A. (2009). NUREG/CR-6997 modeling a digital feedwater control system using traditional probabilistic risk assessment methods, Available at: https://www.nrc.gov/.Search in Google Scholar
Ghofrani, M.B. and Damghani, S.A. (2002). Determination of the safety importance of systems of the Tehran research reactor using a PSA method. Ann. Nucl. Energy 29: 1989–2000, https://doi.org/10.1016/S0306-4549(02)00018-X.Search in Google Scholar
Kang, H.G. and Sung, T. (2002). An analysis of safety-critical digital systems for risk-informed design. Reliab. Eng. Syst. Saf. 78: 307–314, https://doi.org/10.1016/S0951-8320(02)00176-X.Search in Google Scholar
Kim, S.I., Kim, D.J., Kim, D.H., Jang, D.M., Jang, J.W., and Lee, S.Y. (2023). Corrosion lifetime estimation of printed circuit board in marine atmosphere environment using multiphysics simulation. Int. J. Precis. Eng. Manuf. Green Technol. 10: 789–805, https://doi.org/10.1007/s40684-022-00480-6.Search in Google Scholar
Koutras, V.P. (2023). A Markov regenerative process model for the dependability and performance of a two-unit multi-state system under maintenance. Reliab. Eng. Syst. Saf. 238: 109433, https://doi.org/10.1016/j.ress.2023.109433.Search in Google Scholar
Lee, S.J., Kim, J., and Jang, S.C. (2011). Human error mode identification for NPP main control room operations using soft controls. J. Nucl. Sci. Technol. 48: 902–910, https://doi.org/10.1080/18811248.2011.9711776.Search in Google Scholar
Lin, Y.H., Li, Y.F., and Zio, E. (2018). A comparison between Monte Carlo simulation and finite-volume scheme for reliability assessment of multi-state physics systems. Reliab. Eng. Syst. Saf. 174: 1–11, https://doi.org/10.1016/j.ress.2018.01.008.Search in Google Scholar
Liu, J.J. and Han, P.L. (2009). Calculation of probabilistic safety evaluation results of reactor protection system of Lingao nuclear power plant unit 3 and 4. Nucl. Power Eng. 30: 92–99.Search in Google Scholar
Liu, J.Q., Zou, Y.H., Wang, W., Zio, E., Yuan, C., Wang, T., and Jiang, J. (2022). A Bayesian belief network framework for nuclear power plant human reliability analysis accounting for dependencies among performance shaping factors. Reliab. Eng. Syst. Saf. 228: 108766, https://doi.org/10.1016/j.ress.2022.108766.Search in Google Scholar
Maciejewski, H. and Caban, D. (2008). Estimation of repairable system availability within fixed time horizon. Reliab. Eng. Syst. Saf. 93: 100–106, https://doi.org/10.1016/j.ress.2006.10.016.Search in Google Scholar
MIL-HDBK-217F (1991). Military handbook – reliability prediction of electronic equipment, Available at: https://s3vi.ndc.nasa.gov/.Search in Google Scholar
Mosleh, A., Rasmuson, D.M., and Marshall, F.M. (1998). NUREG/CR-5485 Guidelines on modeling common-cause failures in probabilistic risk assessment, Available at: https://www.nrc.gov/.Search in Google Scholar
Nilsen, S.O. and Blanke, M. (1997). Fault detection and isolation in a marine liquid cargo system. Paper presented at the 4th IFAC Conference on Manoeuvring and Control of Marine Craft, Brijuni, Croatia, Sept 10–12, 1997.10.1016/S1474-6670(17)46507-4Search in Google Scholar
Sarkar, A., Rai, S.S., Chakrabarty, J., and Sheik, A.M. (2023). EMC design for a ship Borne real time embedded system. Paper presented at the 2023 Joint Asia-Pacific International Symposium on Electromagnetic Compatibility and International Conference on ElectroMagnetic Interference & Compatibility, Bengaluru, India, 2023.10.1109/APEMC57782.2023.10217515Search in Google Scholar
Shorthill, T., Bao, H., Chen, E., Zhang, S., and Ban, H. (2023). An approach to modeling postulated software CCFs of diverse digital I&C systems. Paper presented at the NPIC&HMIT 2023 and PSA 2023 Co-Located Meetings, Knoxville, TN, July 15 -21, 2023.Search in Google Scholar
Sidharth and Barker, D.B. (1996). Vibration induced fatigue life estimation of corner leads of peripheral leaded components. J. Electron. Packag. 118: 244–249, https://doi.org/10.1115/1.2792159.Search in Google Scholar
Thompson, H.A., Torres-Echeverría, A.C., and Martorell, S. (2011). Modeling safety instrumented systems with MooN voting architectures addressing system reconfiguration for testing. Reliab. Eng. Syst. Saf. 96: 545–563, https://doi.org/10.1016/j.ress.2010.12.003.Search in Google Scholar
Torkey, H., Saber, A.S., Shaat, M.K., El-Sayed, A., and Shouman, M.A. (2020). Bayesian belief-based model for reliability improvement of the digital reactor protection system. Nucl. Sci. Tech. 31: 101, https://doi.org/10.1007/s41365-020-00814-6.Search in Google Scholar
Uzuazor, S.I. and Amaju, O.S. (2023). A comparative study of higher order kernel estimation and kernel density derivative estimation of the Gaussian kernel estimator with data application. Pak. J. Statistics Oper. Res. 19: 299–311, https://doi.org/10.18187/pjsor.v19i2.4233.Search in Google Scholar
Weiss, E. (2023). Revealing hidden defects in electronic components with an AI-based inspection method: a corrosion case study. IEEE Trans. Compon. Packag. Manuf. Technol. 13: 1078–1080, https://doi.org/10.1109/TCPMT.2023.3293005.Search in Google Scholar
Xing, L.M., Fleming, K.N., and Loh, W.T. (1996). Comparison of Markov model and fault tree approach in determining initiating event frequency for systems with two train configurations. Reliab. Eng. Syst. Saf. 53: 17–29, https://doi.org/10.1016/0951-8320(96)00033-6.Search in Google Scholar
Xu, J.T., Gui, M.L., Ding, R., Dai, T., Zheng, M., Men, X., Meng, F., Yu, T., and Sui, Y. (2023). A new approach for dynamic reliability analysis of reactor protection system for HPR1000. Reliab. Eng. Syst. Saf. 234: 109147, https://doi.org/10.1016/j.ress.2023.109147.Search in Google Scholar
Zhang, Q., Li, L.S., Huang, J., and Yin, B.J. (2021). Reliability analysis and evaluation of emergency shutdown system for Class 1E DCS of large sodium-cooled fast reactor. Nucl. Sci. Eng. 41: 1268–1274.Search in Google Scholar
Zheng, W.Z. (2012). Analysis and application of countermeasures for reactor protection system failures in nuclear power plant. Nucl. Electron. Detect. Technol. 32: 337–341.Search in Google Scholar
Zhou, S.W., Ye, L.Y., Xiong, S.W., and Xiang, J. (2022). Reliability analysis of dynamic fault trees with Priority-AND gates based on irrelevance coverage model. Reliab. Eng. Syst. Saf. 224: 108553, https://doi.org/10.1016/j.ress.2022.108553.Search in Google Scholar
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Articles in the same Issue
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- Calendar of events
Articles in the same Issue
- Frontmatter
- Multilateral evaluation of the effects of utilizing thorium oxide in the Bushehr VVER-1000 reactor
- Comparison of modeling methods for the effective diffusivities of IO3− estimated in compacted bentonite using through-diffusion tests under aerobic conditions
- Analysis of initial core and time dependent fuel burnup for high temperature testing reactors (HTTRs)
- A detection and defense security system design for nuclear waste storage against stealth terrorists attack
- Optimization of ECR assisted pre-ionization in GLAST-III via Multiphysics simulation
- Fuzzy reliability algorithm for the shutdown system of research reactor
- System theory safety analysis of network malfunction in nuclear power plant distributed control systems
- Two phase flow analysis of micro channel evaporator to investigate effect of geometry on pressure and heat transfer coefficient with respect to volume of fraction
- Methodology for analyzing dose consequence using atmospheric dispersion code A2CDOSE
- Reliability analysis of digital reactor protection systems in floating nuclear power plants
- Study on comprehensive evaluation method of mental workload level
- Integrating reliability analysis into MBSE for FPGA-based safety critical I&C system design in nuclear power plants
- Calendar of events