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Fluid Property Diagrams

Create custom and beautiful Fluid Property Diagrams with fluprodia. The package implements fluid property data from CoolProp [1]. Plotting is handled by matplotlib [2], all calculations are performed with numpy [3]. The list of fluids available can be found at CoolProp.

fluprodia is licensed under the MIT software license.

docs Documentation Status
package

Installation

pip install fluprodia

Usage

To create a diagram import the library, specify unit system and isolines to be calculated and run the calculation:

>>> from fluprodia import FluidPropertyDiagram
>>> import matplotlib.pyplot as plt
>>> import numpy as np

>>> diagram = FluidPropertyDiagram(fluid='H2O')
>>> diagram.set_unit_system(T='°C', h='kJ/kg', p='bar')
>>> Q = np.linspace(0, 1, 11)
>>> T = np.arange(25, 501, 25)
>>> p = np.geomspace(0.01, 1000, 6)
>>> v = np.geomspace(0.001, 10, 5)
>>> s = np.linspace(1000, 10000, 10)
>>> h = np.linspace(0, 3600, 19)
>>> diagram.set_isolines(Q=Q, T=T, p=p, v=v, s=s, h=h)
>>> diagram.calc_isolines()

Then you can plot the data to different types of plots, e.g. logph diagram:

>>> fig, ax = plt.subplots(1, figsize=(8, 5))
>>> diagram.draw_isolines(diagram_type='logph', fig=fig, ax=ax, x_min=0, x_max=3000, y_min=0.01, y_max=1000)
>>> plt.tight_layout()
>>> fig.savefig('logph_diagram_H2O.svg')
>>> fig.savefig('logph_diagram_H2O.png', dpi=300)

Or, a Ts-diagram:

>>> fig, ax = plt.subplots(1, figsize=(8, 5))
>>> diagram.draw_isolines(diagram_type='Ts', fig=fig, ax=ax, x_min=0, x_max=8000, y_min=0, y_max=700)
>>> plt.tight_layout()
>>> fig.savefig('Ts_diagram_H2O.svg')
>>> fig.savefig('Ts_diagram_H2O.png', dpi=300)

The fluids are available through CoolProp. To generate a diagram for a new fluid simply change the name. Isolines come with defaults as well.

>>> diagram = FluidPropertyDiagram(fluid='R290')
>>> diagram.set_unit_system(T='°C', h='kJ/kg', p='bar')
>>> diagram.calc_isolines()
>>> fig, ax = plt.subplots(1, figsize=(8, 5))
>>> diagram.draw_isolines(diagram_type='logph', fig=fig, ax=ax, x_min=0, x_max=800, y_min=1e-1, y_max=1e2)
>>> plt.tight_layout()
>>> fig.savefig('logph_diagram_R290.png', dpi=300)
>>> fig.savefig('logph_diagram_R290.svg')

Documentation

For further examples and usage please refer to the online documentation at https://fluprodia.readthedocs.io/.

Citation

Every version of fluprodia is archived at zenodo. You can cite the latest or a specific version. For citation info and more details please go to the zenodo entry of fluprodia.

References

This software depends on the packages CoolProp, matplolib and numpy.

[1]Bell, I., Wronski, J., Quoilin, S. and Lemort, V., 2014. Pure and Pseudo-pure Fluid Thermophysical Property Evaluation and the Open-Source Thermophysical Property Library CoolProp. Industrial & Engineering Chemistry Research, 53(6), pp. 2498-2508.
[2]Hunter, J., 2007. Matplotlib: A 2D Graphics Environment. Computing in Science & Engineering, 9(3), pp. 90-95.
[3]van der Walt, S., Colbert, S. and Varoquaux, G., 2011. The NumPy Array: A Structure for Efficient Numerical Computation. Computing in Science & Engineering, 13(2), pp. 22-30.