Parallelization of the P-1 Radiation Model

ABSTRACT The P-1 radiation model is spatially decomposed to solve the radiative transport equation on parallel computers. Mathematical libraries developed by third parties are employed to solve the linear systems that result during the solution procedure. Multigrid preconditioning accelerated the convergence of iterative methods. The parallel performance did not depend strongly on the radiative properties of the medium or the boundary conditions. Predictions from coupling the weighted-sum-of-gray-gases model with the P-1 approximation are compared against benchmarks for model problems. The P-1 approximation resulted in only a moderate loss in accuracy while being significantly faster than the discrete ordinates method.

[1]  M. Larini,et al.  A Numerical Investigation of Cross Wind Effects on a Turbulent Buoyant Diffusion Flame , 2001 .

[2]  P. J. Coelho,et al.  Parallelization of the finite volume method for radiation heat transfer , 1999 .

[3]  Pei-feng Hsu,et al.  Benchmark Solutions of Radiative Heat Transfer Within Nonhomogeneous Participating Media Using the Monte Carlo and YIX Method , 1997 .

[4]  N. Bressloff The influence of soot loading on weighted sum of grey gases solutions to the radiative transfer equation across mixtures of gases and soot , 1999 .

[5]  P. J. Novo PARALLELIZATION OF THE DISCRETE TRANSFER METHOD , 1999 .

[6]  T. F. Smith,et al.  Evaluation of Coefficients for the Weighted Sum of Gray Gases Model , 1982 .

[7]  Edmond Chow,et al.  Design of the HYPRE preconditioner library , 1998 .

[8]  E. Djavdan,et al.  A comparison between weighted sum of gray gases and statistical narrow-band radiation models for combustion applications , 1994 .

[9]  D. N. Trivic Modeling of 3-D non-gray gases radiation by coupling the finite volume method with weighted sum of gray gases model , 2004 .

[10]  Gautham Krishnamoorthy,et al.  Parallel Computations of Nongray Radiative Heat Transfer , 2005 .

[11]  Yousef Saad,et al.  Iterative methods for sparse linear systems , 2003 .

[12]  Gautham Krishnamoorthy,et al.  PARALLEL COMPUTATIONS OF RADIATIVE HEAT TRANSFER USING THE DISCRETE ORDINATES METHOD , 2004 .

[13]  Christon,et al.  Spatial domain-based parallelism in large-scale, participating-media, radiative transport applications , 1997 .

[14]  S. Patankar Numerical Heat Transfer and Fluid Flow , 2018, Lecture Notes in Mechanical Engineering.

[15]  A Method to Accelerate Convergence and to Preserve Radiative Energy Balance in Solving the P1 Equation by Iterative Methods , 2002 .

[16]  An extension of the weighted sum of gray gases non-gray gas radiation model to a two phase mixture of non-gray gas with particles , 2000 .

[17]  Pedro J. Coelho,et al.  PARALLELIZATION OF THE DISCRETE ORDINATES METHOD , 1997 .

[18]  Christon,et al.  Spatial domain-based parallelism in large scale, participating-media, radiative transport applications , 1996 .

[19]  M. Modest CHAPTER 16 – THE METHOD OF DISCRETE ORDINATES (SN-APPROXIMATION) , 2003 .

[20]  William L. Briggs,et al.  A multigrid tutorial , 1987 .

[21]  Aaas News,et al.  Book Reviews , 1893, Buffalo Medical and Surgical Journal.

[22]  Dominique Morvan,et al.  Numerical simulation of a methane/air radiating turbulent diffusion flame , 2000 .

[23]  Vladimir P. Solovjov,et al.  An Efficient Method for Modeling Radiative Transfer in Multicomponent Gas Mixtures With Soot , 2001 .

[24]  Ben-Wen Li,et al.  The Spherical Surface Symmetrical Equal Dividing Angular Quadrature Scheme for Discrete Ordinates Method , 2002 .

[25]  Fengshan Liu,et al.  Numerical Solutions of Three-Dimensional Non-Grey Gas Radiative Transfer Using the Statistical , 1999 .

[26]  S. Ashby,et al.  A parallel multigrid preconditioned conjugate gradient algorithm for groundwater flow simulations , 1996 .

[27]  M. Modest Radiative heat transfer , 1993 .