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茂木 孝介; Trianti, N.; 松本 俊慶; 杉山 智之; 丸山 結
Proceedings of 18th International Topical Meeting on Nuclear Reactor Thermal Hydraulics (NURETH-18) (USB Flash Drive), p.4324 - 4335, 2019/08
Hydrogen managements under severe accidents are one of the most crucial problems and have attracted a great deal of attention after the occurrence of hydrogen explosions in the accident at Fukushima Daiichi Nuclear Power Plant in March 2011. The primary purpose of our research is improvements in computational fluid dynamics techniques to simulate hydrogen combustion. Our target of analysis is ENACCEF2 hydrogen combustion benchmark test conducted in the framework of ETOSON-MITHYGENE project. Flame acceleration experiments of hydrogen premixed turbulent combustions were simulated by the Turbulent Flame Closure (TFC) model. We implemented several laminar flame speed correlations and turbulent flame speed models on XiFoam solver of OpenFOAM and compared the results to investigate the applicability of these correlation and model equations. We found that all the laminar flame speed correlations could predict qualitative behavior of the flame acceleration, but Ravi & Petersen laminar flame speed correlation that is originally implemented in OpenFOAM underestimated the maximum flame speed for the lean hydrogen concentration. Zimont model and Glder model of the turbulent flame speed could reasonably simulate the flame acceleration behavior and maximum pressure peaks. The flame velocities calculated with Glder model tend to be faster than that calculated with Zimont model.
Trianti, N.; 佐藤 允俊*; 杉山 智之; 丸山 結
Proceedings of 11th Korea-Japan Symposium on Nuclear Thermal Hydraulics and Safety (NTHAS-11) (Internet), 7 Pages, 2018/11
Simulation techniques have been developed to analyze the deflagration behavior of hydrogen generated during a hypothetical severe accident in nuclear power plants. The CFD analysis was carried out on the hydrogen deflagration experiment performed at the ENACCEF2 facility composed mainly of a vertical cylindrical tube filled with hydrogen-air mixture and nine annular obstacles were placed in the lower part of the tube. The simulation was carried out by the reactingFoam solver of OpenFOAM 3.0, an open source software for the CFD analysis. The RNG (Renormalization group) k- model was applied for turbulent flow. The interaction of the chemical reaction with the turbulent flow was considered using PaSR (Partial Stirred Reactor) model with 19 elementary reactions for the hydrogen combustion. The analysis result showed the characteristic of flame acceleration by the obstacle region was qualitatively reproduced even though has discrepancy with the experiment.
Bentaib, A.*; Chaumeix, N.*; Grosseuvres, R.*; Bleyer, A.*; Gastaldo, L.*; Maas, L.*; Jallais, S.*; Vyazmina, E.*; Kudriakov, S.*; Studer, E.*; et al.
Proceedings of 12th International Topical Meeting on Nuclear Reactor Thermal-Hydraulics, Operation and Safety (NUTHOS-12) (USB Flash Drive), 11 Pages, 2018/10
In the framework of the French MITHYGENE project, the new highly instrumented ENACCEF2 facility was built at the Institut de Combustion Aerothermique Reactivite et Environnement (ICARE) of the Centre National de la Recherche Scientifique (CNRS) in Orleans (France) to address the flame propagation in hydrogen combustion during a severe accident. The ENACCEF2 facility is a vertical tube of 7.65 m height and 0.23 m inner diameter. In the lower part of the tube, annular obstacles are installed to promote turbulent flame propagation. At the initiative of the MITHYGENE project consortium and the European Technical Safety Organisation Network (ETSON), a benchmark on hydrogen combustion was organised with the goal to identify the current level of the computational tools in the area of hydrogen combustion simulation under conditions typical for safety considerations for NPP. In the proposed paper, the simulation results obtained by participating organizations, using both Computational Fluid Dynamics (CFD) and lumped-parameter computer codes, are compared to experimental results and analysed.