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Thermo-Fluid Dynamics and System Analysis
About
In addition to the technical-economic challenges, technical safety issues are of particular importance with respect to the acceptance of new technologies. Computational fluid dynamics (CFD) is used today as a key simulation tool to investigate safety issues related to accidental/accidental hydrogen leakage and to develop or evaluate appropriate safety measures. Here, a distinction must be made between specialized (e.g. FLACS) and general-purpose CFD programs (e.g. ANSYS CFX or OpenFOAM). The former are already used in licensing procedures, but their functionality and validation are strongly oriented towards the licensees' market-ready applications. Multi-purpose CFD programs allow easy know-how/model transfer from other applications, have state-of-the-art numerical methods and solvers and, due to the large user base, also extensive interfaces, e.g. to CAD software, and are very well suited for the simulation and evaluation of novel technologies.
The working group 'Thermo-Fluid Dynamics and System Analysis' has been developing models for the simulation of hydrogen distribution in the course of severe accidents in nuclear power plants (e.g. Fukushima) for 15 years and successfully transfers this experience to other hydrogen applications. For the last five years, this expertise has been consolidated and brought into application with the development of the customized simulation package 'containmentFOAM' based on the source-open CFD software OpenFOAM. Major challenge for the model application to new hydrogen technologies is the description of the dynamic operating characteristics of all involved systems and components, for which a dedicated experimental characterization is required.
Research Topics
- Open-source CFD model development and validation
- Systematic integration of physical phenomena
- Buoyancy driven multi-component flows
- Condensation heat and mass transfer
- Thermal radiation
- Modeling of technical systems behavior
Veröffentlichungen
M. Kampili, S. Kelm, A. Dehbi, H.-J. Allelein
A CFD model for predicting turbulent dispersion of particles in natural convection flows: URANS - CRW coupled approach
Advanced Powder Technologies 35/6 (2024) 104502
https://doi.org/10.1016/j.apt.2024.104502
R. Kapulla, S. Kelm, U. Doll, X. Liu, S. Paranjape, D. Paladino
Large-scale PANDA facility – radiation experiments and CFD calculations
Kerntechnik 89/2 (2024) 202-217
https://doi.org/10.1515/kern-2023-0060
P. Wenig, S. Kelm, M. Klein
CFD Uncertainty Quantification using PCE–HDMR: Exemplary Application to a Buoyancy-Driven Mixing Process
Flow, Turbulence and Combustion 112 (2024) 191–216
https://doi.org/10.1007/s10494-023-00467-6
M.-S. Chae, S. Kelm, D. Paladino
Analyses of International Standard Problem ISP-47 TOSQAN experiment with containmentFOAM
Nuclear engineering and technology 56/2 (2024) 611-623
https://doi.org/10.1016/j.net.2023.10.038
K. Yassin, S. Kelm, M. Kampili, E.-A. Reinecke
Validation and Verification of containmentFOAM CFD Simulations in Hydrogen Safety
Energies 16 (2023) 5993
https://doi.org/10.3390/en16165993
A. George, S. Kelm, X. Cheng, H.J. Allelein
Efficient CFD Modeling of Bulk Condensation, Fog Transport and Re-Evaporation for Application to Containment Scale
Nuclear Engineering and Design 401 (2023) 112067
https://doi.org/10.1016/j.nucengdes.2022.112067
R. Ji, P. Wenig, S. Kelm, M. Klein
Epistemic uncertainty in URANS based CFD analysis of buoyancy driven flows - comparison of URANS and LES
Annals of Nuclear Energy 181 (2023) 109563
https://doi.org/10.1016/j.anucene.2022.109563
R. Kapulla, X. Liu, S.Kelm, U. Doll, S. Paranjape, D. Paladino
Importance, Influence and Limits of CFD Radiation Modelling for Containment Atmosphere Simulations
Nuclear Engineering and Design 411 (2023) 112408
https://doi.org/10.1016/j.nucengdes.2023.112408
M. Freitag, E. W. Schmidt, M. Sonnenkalb, S. Kelm, M. Kotouč, R. Liang, P. Royl, S. Benz
CFD and LP Code Benchmark on the Onset of PAR Operation in Case of Extremely Low Oxygen Concentration
Nuclear Engineering and Design 400 (2023) 112056
https://doi.org/10.1016/j.nucengdes.2022.112056
P. Wenig, S. Kelm, M. Klein
CFD Uncertainty Quantification using using stochastic spectral methods–Exemplary application to a buoyancy-driven mixing process
Nuclear Engineering and Design 409 (2023) 112317
https://doi.org/10.1016/j.nucengdes.2023.112317
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Last Modified: 04.12.2024