Quasi-direct numerical simulation of a pebble bed configuration. Part I: Flow (velocity) field analysis

Abstract High temperature reactors (HTR) are being considered for deployment around the world because of their excellent safety features. The fuel is embedded in a graphite moderator and can sustain very high temperatures. However, the appearance of hot spots in the pebble bed cores of HTR's may affect the integrity of the pebbles. A good prediction of the flow and heat transport in such a pebble bed core is a challenge for available turbulence models and such models need to be validated. In the present article, quasi direct numerical simulations (q-DNS) of a pebble bed configuration are reported, which may serve as a reference for the validation of different turbulence modeling approaches. Such approaches can be used in order to perform calculations for a randomly arranged pebble bed. Simulations are performed at a Reynolds number of 3088, based on pebble diameter, with a porosity level of 0.42. Detailed flow analyses have shown complex physics flow behavior and make this case challenging for turbulence model validation. Hence, a wide range of qualitative and quantitative data for velocity and temperature field have been extracted for this benchmark. In the present article (part I), results related to the flow field (mean, RMS and covariance of velocity) are documented and discussed in detail. Moreover, the discussion regarding the temperature field will be published in a separate article.

[1]  Tae Hyun Chun,et al.  CFD Analysis of the Fuel Temperature in High Temperature Gas-Cooled Reactors , 2005 .

[2]  S. Benhamadouche,et al.  A synthetic-eddy-method for generating inflow conditions for large-eddy simulations , 2006 .

[3]  J. J. Janse van Rensburg,et al.  An integral CFD approach for the thermal simulation of the PBMR reactor unit , 2011 .

[4]  Gokhan Yesilyurt Numerical simulation of flow distribution for pebble bed high temperature gas cooled reactors , 2004 .

[5]  Jae Young Lee,et al.  Flow Visualization of Pebble Bed HTGR , 2008 .

[6]  Christer Fureby,et al.  Large-Eddy Simulation: Current Capabilities, Recommended Practices, and Future Research , 2009 .

[7]  E.M.J. Komen,et al.  Optimization of a pebble bed configuration for quasi-direct numerical simulation , 2012 .

[8]  Yassin A. Hassan,et al.  CFD Simulation of a Coolant Flow and a Heat Transfer in a Pebble Bed Reactor , 2008 .

[9]  Yassin A. Hassan,et al.  Large eddy simulation in pebble bed gas cooled core reactors , 2008 .

[10]  V. C. Patel,et al.  Longitudinal curvature effects in turbulent boundary layers , 1997 .

[11]  Rainer Moormann,et al.  A Safety Re-Evaluation of the AVR Pebble Bed Reactor Operation and Its Consequences for Future HTR Concepts , 2008 .

[12]  Chung-Yun Wu,et al.  Investigating the advantages and disadvantages of realistic approach and porous approach for closely packed pebbles in CFD simulation , 2010 .

[13]  Yassin A. Hassan,et al.  Measurements of Flow Modification by Particle Deposition Inside a Packed Bed Using Time-Resolved PIV , 2008 .

[14]  Su-Jong Yoon,et al.  Turbulence-induced Heat Transfer in PBMR Core Using LES and RANS , 2007 .