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Example description fixed

This commit is contained in:
Nicolas Kruse 2025-07-03 15:07:43 +02:00
parent 095806cfe6
commit 1a6fe421bc
2 changed files with 25 additions and 14 deletions
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22
examples/soec_syngas.md
View File

@ -3,8 +3,8 @@
This example shows a 1D isothermal SOEC (Solid oxide electrolyzer cell) model.
Converting CO2 and H2 into syngas.
The operating parameters chosen here are not necessary realistic. Under the example
condition the formation of solid carbon is very likely.
The operating parameters chosen here are not necessarily realistic. For example,
a utilization of 0.95 causes issues with the formation of solid carbon.
```python
import gaspype as gp
@ -13,8 +13,8 @@ import numpy as np
import matplotlib.pyplot as plt
```
Calculation of the local equilibrium compositions on the fuel and air
side in counter flow along the fuel flow direction:
Calculate equilibrium compositions for fuel and air sides in counter flow
along the fuel flow direction:
```python
utilization = 0.95
air_dilution = 0.2
@ -66,6 +66,14 @@ ax.plot(conversion, np.stack([o2_fuel_side, o2_air_side], axis=1), '-')
ax.legend(['o2_fuel_side', 'o2_air_side'])
```
The high oxygen partial pressure at the inlet is in reality lower.
The assumption that gas inter-diffusion in the flow direction is slower
than the gas velocity does not hold this very high gradient. However
often the oxygen partial pressure is still to high to prevent oxidation of the
cell/electrode. This can be effectively prevented by recycling small amounts of
the output gas.
Calculation of the local nernst potential between fuel and air side:
```python
z_O2 = 4
@ -94,13 +102,13 @@ physical distance between the nodes (**dz**) must be calculated:
cell_voltage = 1.3 # V
ASR = 0.2 # Ohm*cm²
node_current = (nernst_voltage - cell_voltage) / ASR # mA/cm² (Current density at each node)
node_current = (nernst_voltage - cell_voltage) / ASR # A/cm² (Current density at each node)
current = (node_current[1:] + node_current[:-1]) / 2 # mA/cm² (Average current density between the nodes)
current = (node_current[1:] + node_current[:-1]) / 2 # A/cm² (Average current density between the nodes)
dz = 1/current / np.sum(1/current) # Relative distance between each node
terminal_current = np.sum(current * dz) # mA/cm² (Total cell current per cell area)
terminal_current = np.sum(current * dz) # A/cm² (Total cell current per cell area)
print(f'Terminal current: {terminal_current:.2f} A/cm²')
```

17
examples/sofc_methane.md
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@ -2,7 +2,10 @@
This example shows a 1D isothermal SOFC (Solid oxide fuel cell) model.
The operating parameters chosen here are not necessary realistic.
The operating parameters chosen here are not necessarily realistic due to
constraints not included in this model. Under the example condition the
formation of solid carbon is for example very likely. A pre-reforming step
is typically applied when operating on methane.
```python
import gaspype as gp
@ -11,8 +14,8 @@ import numpy as np
import matplotlib.pyplot as plt
```
Calculation of the local equilibrium compositions on the fuel and air
side in counter flow along the fuel flow direction:
Calculate equilibrium compositions for fuel and air sides
in counter flow along the fuel flow direction:
```python
fuel_utilization = 0.90
air_utilization = 0.5
@ -66,7 +69,7 @@ ax.legend(['o2_fuel_side', 'o2_air_side'])
Calculation of the local nernst potential between fuel and air side:
```python
z_O2 = 4
z_O2 = 4 # Number of electrons transferred per O2 molecule
nernst_voltage = R*t / (z_O2*F) * np.log(o2_air_side/o2_fuel_side)
```
@ -92,13 +95,13 @@ physical distance between the nodes (**dz**) must be calculated:
cell_voltage = 0.77 # V
ASR = 0.2 # Ohm*cm²
node_current = (nernst_voltage - cell_voltage) / ASR # mA/cm² (Current density at each node)
node_current = (nernst_voltage - cell_voltage) / ASR # A/cm² (Current density at each node)
current = (node_current[1:] + node_current[:-1]) / 2 # mA/cm² (Average current density between the nodes)
current = (node_current[1:] + node_current[:-1]) / 2 # A/cm² (Average current density between the nodes)
dz = 1/current / np.sum(1/current) # Relative distance between each node
terminal_current = np.sum(current * dz) # mA/cm² (Total cell current per cell area)
terminal_current = np.sum(current * dz) # A/cm² (Total cell current per cell area)
print(f'Terminal current: {terminal_current:.2f} A/cm²')
```