Thermo-Electric toolbox
1. Notations
In the thermo-electric model, we have 4 parameters
-
\(\sigma\) the electrical conductivity
-
\(k\) the thermal conductivity
-
\(T_c\) the water cooling temperature
-
\(h\) the heat transfer coefficient
These parameters can be scalars of fields. |
We gather in the following table parameter ranges, nominal values as well as units for \(\sigma, k, T_c, h\).
Parameters |
Ranges |
Nominal value |
Units |
\(\sigma\) |
\([52.10^{6};58.10^{6}\)] |
\(53\cdot 10^{6}\) |
\(S \cdot m^{-1}\) |
\(k\) |
\([360;380\)] |
\(370\) |
\(W\cdot m^{-1} \cdot K^{-1}$\) |
\(T_c\) |
\([293;310\)] |
\(300\) |
K |
\(h\) |
\([70000;90000\)] |
\(850000\) |
\(W \cdot m^{-2} \cdot K^{-1}\) |
In the linear case, we first solve for \(V\) and then for \(T\) using \(V\) to compute the Joule effect that generates heat inside \(\Omega\).
2. Running the Thermo-electric application
Using Docker, you can run Feel++ model application and in particular the thermo-electric model using the following command
$ docker run -it -v $HOME/feel:/feel feelpp/feelpp-toolboxes:latest
Then type the following command in docker environment to run the model
$ cd Testcases/models/thermoelectric/test
$ mpirun -np 4 /usr/local/bin/feelpp_toolbox_thermoelectric_3d --config-file model.cfg