Title Development of turbulent hydrogen combustion CFD solver for OpenFOAM /
Authors Povilaitis, Mantas ; Jaseliūnaitė, Justina ; Ambrutis, Andrius
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Is Part of Proceeding book The 13th International Topical Meeting on Nuclear Reactor Thermal-Hydraulics, Operation and Safety (NUTHOS 13) Hsinchu, Taiwan, September 5-10, 2022.. Hsinchu : National Tsing HUA University. 2022, N13P167, p. 1-12
Abstract [eng] Significant international efforts are devoted to improving understanding and prediction accuracy of hydrogen combustion phenomena in the containments of nuclear power plants during severe accidents. One of the most challenging issues is simulation of flame acceleration in the presence of turbulence. It is also critical for safety since flame acceleration is directly linked to the posed risk – stronger acceleration leads to powerful shock waves or even DDT. Due to the large scales of the containment applications, relevant state-of-the-art employs simplifications, allowing running models with affordable resources, while obtaining sufficiently accurate results. Used simplified approaches are turbulence modeling based on RANS and combustion models based on progress variable and turbulent flame speed correlations. Up to now the majority of the simulations are performed using commercial CFD codes with in-house modifications. Other proprietary specialized solutions are also prevalent, e.g., FLACS or EUROPLEXUS. This situation motivated us to develop an open-source solver for turbulent premixed combustion. The current version of our solver, flameFoam, is built with the OpenFOAM toolkit version 9. flameFoam basis are standard solvers rhoPimpleFoam, buoyantPimpleFoam, and chtMultiRegionFoam, included with the OpenFOAM. flameFoam is not a straight copy of these standard solvers but a combination of them. The presented initial solver version has been developed and tested for the combustion of homogeneous hydrogen-air mixtures. The current development status of the solver is presented in the paper, with its ongoing validation, recent applications, and performed research. Recent, yet unpublished implementation of laminar burning velocity estimation based on artificial intelligence model is highlighted and discussed.
Published Hsinchu : National Tsing HUA University
Type Conference paper
Language English
Publication date 2022