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