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Direct Numerical Simulation of Heated Pipe Flow with Strong Property Variation

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High Performance Computing in Science and Engineering ´16

Abstract

Using supercritical fluid as coolant in a power cycle is generally considered as an advanced solution for energy conversion. When the pressure is above the critical point (P c), thermo-physical properties vary significantly with temperature, which leads to complicated heat transfer phenomena. In the current project, direct numerical simulation (DNS) in a horizontal heated pipe has been developed for supercritical CO2 using the numerical solver based on OpenFOAM. DNS enables us to investigate the detailed turbulence modulation and heat transfer characteristics. The horizontal layout of the pipe leads to a flow stratification, which is not observed in the vertical pipes from the report in the last year. Furthermore, the obtained turbulence data are serving for the development of advanced turbulence models.

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Acknowledgements

The research presented in this paper is supported by the Forschungsinstitut fuer Kerntechnik und Energiewandlung e.V., for project DNSTHTSC. The authors would like to thank to the HLRS and Cray team for their kind support.

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Authors and Affiliations

  1. Institute of Nuclear Technology and Energy Systems, University of Stuttgart, Pfaffenwaldring 31, 70569, Stuttgart, Germany

    Xu Chu, Eckart Laurien & Sandeep Pandey

Authors
  1. Xu Chu
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  2. Eckart Laurien
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  3. Sandeep Pandey
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Corresponding author

Correspondence to Xu Chu .

Editor information

Editors and Affiliations

  1. Zentrum für Informationsdienste und Hochleistungsrechnen (ZIH), Technische Universität Dresden, Dresden, Germany

    Wolfgang E. Nagel

  2. Abteilung für Angewandte Mathematik, Universität Freiburg, Freiburg, Germany

    Dietmar H. Kröner

  3. Höchstleistungsrechenzentrum Stuttgart (HLRS), Universität Stuttgart, Stuttgart, Germany

    Michael M. Resch

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Chu, X., Laurien, E., Pandey, S. (2016). Direct Numerical Simulation of Heated Pipe Flow with Strong Property Variation. In: Nagel, W.E., Kröner, D.H., Resch, M.M. (eds) High Performance Computing in Science and Engineering ´16. Springer, Cham. https://doi.org/10.1007/978-3-319-47066-5_32

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