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Thermal-hydraulic simulation of loss of flow accident for WWR-S research reactor

  • Salah El-Din El-Morshedy EMAIL logo , Mohamed Moawed , Mohamed A. Abdelrahman , Asmaa G. Abu Elnour and Mohammed Taha
Published/Copyright: October 23, 2024
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Abstract

A thermal-hydraulic model has been developed by RELAP5 code to simulate the thermal-hydraulic behavior of a WWR-S research reactor under loss of flow accident (LOFA). The reactor power is 2 MW with downward flow direction and different types of fuel bundles of different power densities and different coolant flow-rates. The simulation is performed for two scenarios; protected and unprotected LOFA. In the protected LOFA scenario; Scram is triggered as soon as the coolant flow rate reaches 85 % of its nominal value while in the unprotected LOFA scenario; the reactor continues operation during pump cost-down and natural circulation flow. Once the flow is low enough, the buoyancy force increases in the core leading to flow inversion phenomenon and establishment of a natural circulation mechanism within the core coolant channels in both scenarios. In the protected LOFA scenario, the coolant remains subcooled by a vast margin during transient while bulk boiling is predicted at the upper part of the core for the unprotected LOFA scenario. The heat fluxes leading to the onset of nucleate boiling and the critical heat flux are predicted and the safety margins are determined. The results for both scenarios are analyzed and discussed.


Corresponding author: Salah El-Din El-Morshedy, Reactors Department, Egyptian Atomic Energy Authority, Cairo, Egypt, E-mail:

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: El-Morshedy: 50 %, Moawed: 15 %, Abdelrahman: 5 %, Elnour: 10 % and Taha: 20 %.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: Not applicable.

References

Abbassi, Y., Mirvakili, S.M., and Mokhtari, J. (2022). Development of a fast thermal-hydraulic model to simulate heat and fluid flow in MNSR. Ann. Nucl. Energy 178, https://doi.org/10.1016/j.anucene.2022.109371.Search in Google Scholar

Bergles, A.E. and Rohsenow, W.M. (1964). The determination of forced-convection surface-boiling heat transfers. Trans. ASME (Ser. C – J. Heat Transfer) 86: 365–371, https://doi.org/10.1115/1.3688697.Search in Google Scholar

El-Khatib, H., El-Morshedy, S.E., Higazy, M.G., and El-Shazly, K. (2013). Modeling and simulation of a loss of the ultimate heat sink in a typical material testing reactor. Ann. Nucl. Energy 51: 156–166, https://doi.org/10.1016/j.anucene.2012.07.031.Search in Google Scholar

El-Morshedy, S.E. (2011). Prediction, analysis and solution of the flow inversion phenomenon in a typical MTR-reactor with upward core cooling. Nucl. Eng. Des. 241: 226–235, https://doi.org/10.1016/j.nucengdes.2010.10.006.Search in Google Scholar

El-Morshedy, S.E. (2012a). Thermal-hydraulic modeling and analysis of a tank-in-pool reactor for normal operation and loss of flow transient. Prog. Nucl. Energy 61: 78–87, https://doi.org/10.1016/j.pnucene.2012.07.005.Search in Google Scholar

El-Morshedy, S.E. (2012b). Predictive study of the onset of flow instability in narrow vertical rectangular channels under low pressure subcooled boiling. Nucl. Eng. Des. 244: 34–42, https://doi.org/10.1016/j.nucengdes.2011.12.019.Search in Google Scholar

El-Morshedy, S.E. (2022). Determination of heat flux leading to the onset of flow instability in MTR reactors. Kerntechnik 87: 535–546, https://doi.org/10.1515/kern-2022-0046.Search in Google Scholar

Hedayat, A. and Davari, A. (2022). Feasibility study to increase the reactor power at natural convection mode in Tehran Research Reactor (TRR) through a hybrid thermal-hydraulic simulation and analysis using the RELAP5 code and Computational Fluid Dynamic (CFD) modeling by ANSYS-FLUENT. Prog. Nucl. Energy 150, https://doi.org/10.1016/j.pnucene.2022.104285.Search in Google Scholar

Khater, H., Abu-El-Maty, T., and El-Morshedy, S.E. (2007). Thermal-hydraulic modeling of reactivity accident in MTR reactors. Ann. Nucl. Energy 34: 732–742, https://doi.org/10.2298/NTRP0602021K.Search in Google Scholar

Khater, H., El-Morshedy, S.E., and Abdelmaksoud, A. (2015). Simulation of unprotected LOFA in MTR reactors using a mix CFD and one-d computation tool. Ann. Nucl. Energy 83: 376–385, https://doi.org/10.1016/j.anucene.2015.03.041.Search in Google Scholar

Salama, A. and El-Morshedy, S.E. (2010). 3D thermal hydraulic simulation of the hot channel of a typical material testing reactor under normal operation conditions. Kerntechnik 75: 248–254, https://doi.org/10.3139/124.110098.Search in Google Scholar

Salama, A. and El-Morshedy, S.E. (2011). CFD Simulation of the IAEA 10 MW generic MTR reactor under loss of flow transient. Ann. Nucl. Energy 38: 564–577, https://doi.org/10.1016/j.anucene.2010.09.025.Search in Google Scholar

Umar, E., Iso, A.R., Aziz, A., and Ramadhan, A.I. (2023). Theoretical and experimental investigation of the thermal–hydraulic parameters of the Bandung TRIGA research reactor. Ann. Nucl. Energy 193, https://doi.org/10.1016/j.anucene.2023.110020.Search in Google Scholar

Ványi, A.S., Hursin, M., Aszódi, A., Adorján, L., Biró, B., Magyar, B., Mészáros, P., Bozsó, T., and Czifrus, S. (2023). Thermal-hydraulic measurements and TRACE system code analysis performed on the natural circulation cooled BME Training Reactor. Ann. Nucl. Energy 189, https://doi.org/10.1016/j.anucene.2023.109839.Search in Google Scholar

Wang, G., Yue, Z., Sun, R., Li, D., Liu, X., Wang, B., and Tian, R. (2022). Preliminary study on thermal–hydraulic behavior of loss-of-flow accident in deep pool-type nuclear reactor. Ann. Nucl. Energy 170, https://doi.org/10.1016/j.anucene.2022.108992.Search in Google Scholar

Xie, Q., Chai, X., and Liu, X. (2023). Steady-state and transient simulations of the MTR research reactor using the high-fidelity N-TH coupling method. Prog. Nucl. Energy 163, https://doi.org/10.1016/j.pnucene.2023.104834.Search in Google Scholar

Received: 2024-06-04
Accepted: 2024-10-07
Published Online: 2024-10-23
Published in Print: 2024-10-28

© 2024 Walter de Gruyter GmbH, Berlin/Boston

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