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June 15, 2012, 17:55 
Heat transfer simulation with lowRe modelling blowing up

#1 
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Jubayer
Join Date: Oct 2009
Location: The University of Western Ontario, London, Ontario
Posts: 42
Blog Entries: 1
Rep Power: 8 
Hi,
I am simulating atmospheric boundary layer flow over an inclined plate with application to solar panels. I am looking into the heat transfer from the panel. At the domain inlet, I am using mean profiles of velocity, turbulent kinetic energy and specific dissipation rate of turbulence using SST komega turbulence model. At the outlet of the domain I am using fixed pressure of 0 Pa. Without lowRe mesh (y+ around 200), for getting pressures on the panel (for wind load estimation), simulations runs fine. However for the heat transfer simulations with y+<1, simulation is blowing up as the courant number gets bigger and bigger (even with time step size of 10^9 s) although wind speed is low for the heat transfer case (5 m/s at 10m height whereas for the wind loading simulation I have used 25 m/s without no problem). I am using buoyantBoussinesqPimpleFoam solver for the heat transfer simulation. My fvSchemes for heat transfer looks like the following: ddtSchemes { default Euler; } gradSchemes { default cellLimited leastSquares 1.0; } divSchemes { default none; div(phi,U) Gauss vanLeer; div(phi,T) Gauss vanLeer; div(phi,k) Gauss vanLeer; div(phi,omega) Gauss vanLeer ; div(phi,R) Gauss vanLeer ; div(R) Gauss limitedLinear 1 ; div((nuEff*dev(T(grad(U))))) Gauss linear limited 0.5 ; } laplacianSchemes { default none; laplacian(nuEff,U) Gauss linear limited 0.5; laplacian((1A(U)),p_rgh) Gauss linear limited 0.5 ; laplacian(kappaEff,T) Gauss linear limited 0.5; laplacian(DkEff,k) Gauss linear limited 0.5; laplacian(DomegaEff,omega) Gauss linear limited 0.5; laplacian(DREff,R) Gauss linear limited 0.5; } interpolationSchemes { default linear; } snGradSchemes { default limited 0.5; } fluxRequired { default no; p_rgh ; } Below is a glimpse when simulation is blowing up  Time = 0.00010097 Courant Number mean: 4.7345636e07 max: 1233.7809 PIMPLE: iteration 1 DILUPBiCG: Solving for T, Initial residual = 1.2870124e06, Final residual = 7.1891992e09, No Iterations 2 DICPCG: Solving for p_rgh, Initial residual = 0.76361335, Final residual = 0.00097027484, No Iterations 120 time step continuity errors : sum local = 1.4489948e10, global = 9.5209982e12, cumulative = 6.5187104e12 PIMPLE: iteration 2 DILUPBiCG: Solving for T, Initial residual = 2.5226717e06, Final residual = 8.3556918e09, No Iterations 101 DICPCG: Solving for p_rgh, Initial residual = 0.69872336, Final residual = 0.00098344698, No Iterations 419 time step continuity errors : sum local = 4.5798547e10, global = 1.8186047e11, cumulative = 1.1667336e11 DILUPBiCG: Solving for omega, Initial residual = 0.00050378054, Final residual = 5.0894516e09, No Iterations 109 bounding omega, min: 1.6530455e+12 max: 3.8839584e+12 average: 59305422 DILUPBiCG: Solving for k, Initial residual = 0.00035940466, Final residual = 5.3762244e09, No Iterations 99 bounding k, min: 8.6846115e+11 max: 2.7713031e+12 average: 1585310.7 ExecutionTime = 13894.57 s ClockTime = 13905 s Time = 0.00010098 Courant Number mean: 6.9096584e07 max: 2692.3661 PIMPLE: iteration 1 DILUPBiCG: Solving for T, Initial residual = 3.1575455e06, Final residual = 9.7394175e09, No Iterations 2 DICPCG: Solving for p_rgh, Initial residual = 0.74447529, Final residual = 0.00097299859, No Iterations 97 time step continuity errors : sum local = 2.4875275e10, global = 1.7993474e11, cumulative = 2.9660811e11 PIMPLE: iteration 2 DILUPBiCG: Solving for T, Initial residual = 3.7889403e06, Final residual = 5.7741675e09, No Iterations 153 DICPCG: Solving for p_rgh, Initial residual = 0.7661894, Final residual = 0.00099395397, No Iterations 444 time step continuity errors : sum local = 2.5940091e09, global = 8.240833e11, cumulative = 1.1206914e10 DILUPBiCG: Solving for omega, Initial residual = 0.00087259239, Final residual = 8.3974792e09, No Iterations 79 bounding omega, min: 7.5412548e+11 max: 1.9226682e+12 average: 94265063 DILUPBiCG: Solving for k, Initial residual = 0.0015909616, Final residual = 8.3691303e09, No Iterations 68 bounding k, min: 3.2118556e+11 max: 2.0770441e+12 average: 4234488.5 ExecutionTime = 14445.9 s ClockTime = 14456 s Time = 0.00010099 Courant Number mean: 1.9504303e06 max: 5747.6202 PIMPLE: iteration 1 DILUPBiCG: Solving for T, Initial residual = 1.6991088e05, Final residual = 2.6964904e09, No Iterations 4 DICPCG: Solving for p_rgh, Initial residual = 0.75607356, Final residual = 0.00099111414, No Iterations 201 time step continuity errors : sum local = 8.4048694e10, global = 3.4520769e10, cumulative = 4.5727683e10 PIMPLE: iteration 2 DILUPBiCG: Solving for T, Initial residual = 2.9118025e05, Final residual = 7.2186118e09, No Iterations 419 DICPCG: Solving for p_rgh, Initial residual = 0.84296989, Final residual = 0.00095307524, No Iterations 706 time step continuity errors : sum local = 4.7938114e09, global = 1.1318495e09, cumulative = 1.5891263e09 DILUPBiCG: Solving for omega, Initial residual = 0.0067051264, Final residual = 7.1001411e09, No Iterations 328 bounding omega, min: 1.4353841e+14 max: 1.3961573e+14 average: 1.7683567e+09 DILUPBiCG: Solving for k, Initial residual = 0.0091318156, Final residual = 9.0899654e09, No Iterations 214 bounding k, min: 6.8698845e+11 max: 1.075334e+13 average: 19477433 ExecutionTime = 15914.84 s ClockTime = 15926 s Time = 0.000101 Courant Number mean: 9.2903545e06 max: 33446.887 PIMPLE: iteration 1 DILUPBiCG: Solving for T, Initial residual = 3.5918305e05, Final residual = 7.4009402e09, No Iterations 3 DICPCG: Solving for p_rgh, Initial residual = 0.51530912, Final residual = 0.00098150633, No Iterations 87 time step continuity errors : sum local = 5.6978294e09, global = 1.1952208e09, cumulative = 2.7843471e09 PIMPLE: iteration 2 DILUPBiCG: Solving for T, Initial residual = 9.5350344e05, Final residual = 6.6825388e07, No Iterations 1001 DICPCG: Solving for p_rgh, Initial residual = 0.64166418, Final residual = 0.026321393, No Iterations 1001 time step continuity errors : sum local = 1.7760159e06, global = 1.8077374e09, cumulative = 4.5920845e09 DILUPBiCG: Solving for omega, Initial residual = 0.02237984, Final residual = 6.0043179e09, No Iterations 420 bounding omega, min: 4.1960305e+14 max: 2.2858488e+14 average: 7.0990082e+08 DILUPBiCG: Solving for k, Initial residual = 0.009506604, Final residual = 0.0018439062, No Iterations 1001 bounding k, min: 1.7533181e+15 max: 8.382294e+14 average: 3.8906711e+08 ExecutionTime = 19251.27 s ClockTime = 19265 s Time = 0.00010101 Courant Number mean: 2.9411928e05 max: 42822.926 PIMPLE: iteration 1 DILUPBiCG: Solving for T, Initial residual = 0.011547178, Final residual = 4.2007322e09, No Iterations 7 DICPCG: Solving for p_rgh, Initial residual = 0.5517749, Final residual = 0.00098472085, No Iterations 87 time step continuity errors : sum local = 1.9706388e08, global = 1.9126112e09, cumulative = 6.5046957e09 PIMPLE: iteration 2 DILUPBiCG: Solving for T, Initial residual = 0.00045584686, Final residual = 5.7580162e07, No Iterations 1001 DICPCG: Solving for p_rgh, Initial residual = 0.79932465, Final residual = 0.21947454, No Iterations 1001 time step continuity errors : sum local = 4.5888733e05, global = 2.4650819e09, cumulative = 8.9697776e09 DILUPBiCG: Solving for omega, Initial residual = 0.046824604, Final residual = 0.42651976, No Iterations 1001 bounding omega, min: 2.9120631e+16 max: 7.5610454e+15 average: 1.7510987e+10 DILUPBiCG: Solving for k, Initial residual = 0.10073936, Final residual = 0.053489969, No Iterations 1001 bounding k, min: 6.1933141e+14 max: 5.4698344e+14 average: 1.1146877e+09 ExecutionTime = 23333.7 s ClockTime = 23350 s Time = 0.00010102 Courant Number mean: 0.00057248341 max: 283410.74 PIMPLE: iteration 1 DILUPBiCG: Solving for T, Initial residual = 0.84933889, Final residual = 2.0178504e09, No Iterations 9 DICPCG: Solving for p_rgh, Initial residual = 0.91110456, Final residual = 0.00098260631, No Iterations 202 time step continuity errors : sum local = 2.6226461e07, global = 4.8494379e08, cumulative = 3.9524602e08 PIMPLE: iteration 2 DILUPBiCG: Solving for T, Initial residual = 0.033386681, Final residual = 0.014155016, No Iterations 1001 DICPCG: Solving for p_rgh, Initial residual = 0.80383648, Final residual = 5.7958476, No Iterations 1001 time step continuity errors : sum local = 0.020399066, global = 9.6567685e09, cumulative = 4.918137e08 DILUPBiCG: Solving for omega, Initial residual = 0.98880096, Final residual = 11962.323, No Iterations 1001 bounding omega, min: 6.4680894e+24 max: 3.2921399e+25 average: 5.2212511e+19 DILUPBiCG: Solving for k, Initial residual = 0.014781795, Final residual = 3.0990057e08, No Iterations 1001 bounding k, min: 4.8263648e+14 max: 5.4072665e+14 average: 1.0635891e+09 ExecutionTime = 27448.32 s ClockTime = 27467 s Time = 0.00010103 Courant Number mean: 0.045544987 max: 5.2721582e+08 PIMPLE: iteration 1 DILUPBiCG: Solving for T, Initial residual = 0.49369191, Final residual = 7.5375708e09, No Iterations 7 DICPCG: Solving for p_rgh, Initial residual = 0.96557631, Final residual = 0.00099907484, No Iterations 238 time step continuity errors : sum local = 3.3753698e05, global = 7.2331754e06, cumulative = 7.183994e06 PIMPLE: iteration 2 DILUPBiCG: Solving for T, Initial residual = 0.88776239, Final residual = 50.198586, No Iterations 1001 DICPCG: Solving for p_rgh, Initial residual = 0.0023242099, Final residual = 1.4577883, No Iterations 1001 time step continuity errors : sum local = 171.529, global = 1.7893858e06, cumulative = 8.9733799e06  I'll be really glad if someone helps me dealing with this problem and getting my simulation running. Thanks. Jubayer 

June 19, 2012, 03:59 

#2 
Senior Member
Roman Thiele
Join Date: Aug 2009
Location: Stockholm, Sweden
Posts: 366
Rep Power: 12 
Have you tried using different input for the divergence and laplacian schemes?
divergence as "Gauss upwind" and laplacian as "Gauss linear corrected", especially for the parts where you use k and omega. These schemes have worked for me with different simulations. If you really need to use the schemes that you have as an input now, I would start from these easier schemes and switch over to more advanced schemes step by step.
__________________
~roman 

June 19, 2012, 04:29 

#3 
Senior Member
Olivier
Join Date: Jun 2009
Location: France, grenoble
Posts: 252
Rep Power: 9 
hello,
Your time step seems too big, since your Co number is getting higer and higer ... Try to lower your time step, or use adaptative time stepping. regards, olivier 

June 19, 2012, 09:46 

#4 
Member
Jubayer
Join Date: Oct 2009
Location: The University of Western Ontario, London, Ontario
Posts: 42
Blog Entries: 1
Rep Power: 8 
Hi Roman,
Thanks for your advice. I'll try those schemes. However, I used simpler schemes before, but did not work. Lets hope this time it works. Jubayer 

June 19, 2012, 09:49 

#5 
Member
Jubayer
Join Date: Oct 2009
Location: The University of Western Ontario, London, Ontario
Posts: 42
Blog Entries: 1
Rep Power: 8 
Hi Olivier,
I thought of the time step size at first. But as you can see, I have even used 10^09 s for this full scale simulation, lowering time step size more than that does not make sense. This made me belief that the problem is somewhere else. Thanks for your input. Jubayer 

Tags 
abl, blowing up, flat plate, heat transfer, low reynolds 
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