Dense-gas effects on the similarity behavior of turbulent boundary layer flows

ORAL

Abstract

Supercritical carbon dioxide (sCO2) serves as an efficient working fluid in compact energy systems. However, real-gas effects on the turbulent boundary layers (TBLs) that form in such systems are still under investigation. In this study, direct numerical simulations (DNS) of several sCO2 zero-pressure-gradient TBLs with isothermal walls are performed. The DNS solves the compressible Navier-Stokes equations and utilizes real-gas equation-of-state and transport models, and the numerical framework is based on high-order compact finite-difference methods without solution filtering. In addition, the wall and freestream temperature conditions vary from subcritical to supercritical across cases. The results show large gradients in transport and thermodynamic properties, such as density, viscosity, and thermal conductivity, for correspondingly small changes in temperatures near the critical condition. The similarity behavior of wall-normal mean profiles and turbulence statistics under real-gas thermodynamic conditions is investigated. Nondimensional streamwise correlations of quantities, such as the skin-friction coefficient and Stanton number, are also studied. Variable-density and compressibility effects are compared with corresponding theories formulated for ideal gas TBLs.

*This work is supported by the National Science Foundation (NSF) under grant NSF-OAC-2103509 and NASA grant/cooperative agreement 80NSSC22M0108. The simulations in this paper were supported by ALCC and INCITE allocations and run on the Summit supercomputer at the Oak Ridge Leadership Computing Facility (OLCF) at the Oak Ridge National Laboratory (ORNL). Postprocessing was conducted on both Summit and the supercomputer Bridges2 at the Pittsburgh Supercomputing Center. Simulation support was provided by the Office of Science at the U.S. Department of Energy under contract No. DE-AC05-00OR22725, and ACCESS-CI under project MCH220046. A.C. is supported by the National Science Foundation Graduate Research Fellowship (NSF GRFP).

Presenters

  • Anjini Chandra

    • Stanford University

Authors

  • Anjini Chandra

    • Stanford University
  • Hang Song

    • Stanford University
  • Sanjiva K Lele

    • Stanford University