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#1 |
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New Member
Patrick Kastner
Join Date: Apr 2016
Posts: 10
Rep Power: 11 ![]() |
Hi everyone,
I am trying to validate a passive scalar transport case. The idea is to model the emission of simplified by people in a room with a certain air change rate. My goal is to obtain the average concentration in ppm in that domain.My current issue is that I cannot correctly reproduce average concentrations compared to mass balances calculated on paper. A simple mass balance can be done like this: http://www.engineeringtoolbox.com/po...oms-d_692.html As test cases I tried the simpleFoam solver as well as the passiveScalarsimpleFoam by Yan Wang. In order to keep it simple, lets start with simpleFoam. --- Steps I took: 1. The domain is a cuboid with (30*10*2.5) m, which yields 750 . Both inlet and outlet spans one full boundary (25 )2. The source term is triggered by a (volumetric) source at breathing height within the room of about 40 (10*4*1) m3. For the source term I use a field called TS with an entry in ./0/ and dimensions of . Apart from the inlet, I set all the BCs(TS) to zeroGradient. The inlet concentration should be 400 ppm (vol-based). yields 7.22 E-04 for the inlet.Then, the following entry in controlDict: Code:
TS
{
type scalarTransport;
active true;
resetOnStartUp false;
autoSchemes false;
fvOptions {
TS-01
{
active true;
type scalarSemiImplicitSource;
scalarSemiImplicitSourceCoeffs
{
cellSet volumeCell;
selectionMode cellSet;
volumeMode absolute; // absolute <quantity>; specific <quantity>/m^3
injectionRateSuSp
{
TS 0.000528; //kg/s/ accounts for 64 people (number of people * density(CO2) * 15 l/h CO2 /3600s)
}
}
}
}
}
per hour in a room with an air change rate of 2.3. This should yield 1000 ppm after a certain amount of time. 5. Now, I obtain the following visual result which looks reasonable to me (inlet is on the left): ![]() An evaluation with swak4Foam yields an average value of ~1000 ppm for those conditions which is acceptable. Now, if I test this setup for different occupancies, the results get significantly worse (rel. error > 10 %), as can be seen in the following plots: http://postimg.org/gallery/icavz4dy/ The only sub-case that goes along with the static calculation, coincidentally, is the 64 people emission case. On both ends of the spectrum the results deviate significantly. In my opinion, if I change the number of people, which scales the emission linearly, the relative error should not change at all. Interestingly enough, the option specific/absolute doesn't change the result to a large extent, which is not what I would expect. In fact, the absolute option yields better results. --- With that being said, I have some questions regarding my method:
Any hint is appreciated! Kind regards, Patrick Last edited by kostnermo; September 26, 2016 at 06:29. |
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#2 |
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Member
Naresh Yathuru
Join Date: Feb 2015
Posts: 66
Rep Power: 12 ![]() |
Hi patrick,
I have the same problem and same questions. were you able to find answers for your questions? |
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#3 |
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New Member
Patrick Kastner
Join Date: Apr 2016
Posts: 10
Rep Power: 11 ![]() |
Hi Naresh,
I did receive some remarks as PMs but none that solve the issue. How about you share your current findings and we work it out together? ![]() Best, Patrick |
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#4 |
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Senior Member
abdikerim kurbanaliev
Join Date: Jun 2010
Location: Kyrgyzstan, Osh
Posts: 122
Rep Power: 17 ![]() |
Hi,
Could some of you please share the case setup for openfoam? Best regards |
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| Tags |
| gas, passive scalar, scalar, scalartransport, tracer |
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