An inter-comparison exercise on the capabilities of CFD models to predict the short and long term distribution and mixing of hydrogen in a garage
Autor: | Thomas Jordan, M.M. Van Der Voort, Asmund Huser, Olav R. Hansen, M. Heitsch, W. Jahn, M. Delichatsios, Alexander Venetsanos, Andrei V. Tchouvelev, Jean-Marc Lacome, Prankul Middha, Javier García, F. Verbecke, Andrzej Teodorczyk, Etienne Studer, E. Papanikolaou, Dmitriy Makarov, H.S. Ledin |
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Přispěvatelé: | Environmental Research Laboratory, National Centre for Scientific Research Demokritos, FireSERT Institute, University of Ulster, Escue a Técnica Superior de Ingenieros Industria es, Universidad Politécnica de Madrid (UPM), Gexcon AS, Research Management Division, Gesellschaft für Anlagen-und Reaktorsicherheit mbH, AS Energy Solutions, Det Norske Veritas, Forschungszentrum Jülich GmbH | Centre de recherche de Juliers, Helmholtz-Gemeinschaft = Helmholtz Association, Forschungszentrum Karlsruhe, Institut National de l'Environnement Industriel et des Risques (INERIS), Health and Safety Laboratory, HySAFER Centre, Commissariat à l'Energie Atomique, Commissariat à l'énergie atomique et aux énergies alternatives (CEA), A.V. Tchouvelev & Associates Inc., Warsaw University of Technology [Warsaw], The Netherlands Organisation for Applied Scientific Research (TNO), AZKARATE, I., EZPONDA, E., CARCASSI, M.N., MARANGON, A., ROSSI, TNO Defensie en Veiligheid |
Jazyk: | angličtina |
Rok vydání: | 2009 |
Předmět: |
Diffusion (acoustics)
Discretization 020209 energy Energy Engineering and Power Technology GARAGE 02 engineering and technology Computational fluid dynamics [SPI]Engineering Sciences [physics] DISPERSION Benchmark (surveying) 0202 electrical engineering electronic engineering information engineering Traffic Dispersion (water waves) Confined space Renewable Energy Sustainability and the Environment Turbulence business.industry Mechanics BENCHMARK HYDROGEN 021001 nanoscience & nanotechnology Condensed Matter Physics Fuel Technology SAFETY Environmental science 0210 nano-technology business CFD Body orifice |
Zdroj: | International Journal of Hydrogen Energy, 14, 34, 5912-5923 International Journal of Hydrogen Energy International Journal of Hydrogen Energy, Elsevier, 2009, 34 (14), pp.5912-5923. ⟨10.1016/j.ijhydene.2009.01.055⟩ Proceedings of the international conference on hydrogen safety 2. International Conference on hydrogen safety (ICHS 2007) 2. International Conference on hydrogen safety (ICHS 2007), Sep 2007, San Sebastian, Spain. pp.15 International Journal of Hydrogen Energy, 2009, 34 (14), pp.5912-5923. ⟨10.1016/j.ijhydene.2009.01.055⟩ |
ISSN: | 0360-3199 |
DOI: | 10.1016/j.ijhydene.2009.01.055⟩ |
Popis: | International audience; The paper presents the results of the CFD inter-comparison exercise SBEP-V3, performed within the activity InsHyde, internal project of the HYSAFE network of excellence, in the framework of evaluating the capability of various CFD tools and modeling approaches in predicting the physical phenomena associated to the short and long term mixing and distribution of hydrogen releases in confined spaces. The experiment simulated was INERIS-TEST-6C, performed within the InsHyde project by INERIS, consisting of a 1 g/s vertical hydrogen release for 240 s from an orifice of 20 mm diameter into a rectangu ar room (garage) of dimensions 3.78x7.2x2.88 m in width, length and height respectively. Two small openings at the front and bottom side of the room assured constant pressure conditions. During the test hydrogen concentration time histories were measured at 12 positions in the room, for a period up to 5160 s after the end of release, covering both the release and the subsequent diffusion phases. The benchmark was organized in two phases. The first phase consisted of blind simulations performed prior to the execution of the tests. The second phase consisted of post-calculations performed after the tests were concluded and the experimental results made available. The participation in the benchmark was high: 12 different organizations (2 non-HYSAFE partners) 10 different CFD codes and 8 different turbulence models. Large variation in predicted results was found in the first phase of the benchmark, between the various modeling approaches. This was attributed mainly to differences in turbulence models and numerical accuracy options (time/space resolution and discretization schemes). During the second phase of the benchmark the variation between predicted results was reduced. |
Databáze: | OpenAIRE |
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