Phasepy is an open-source scientific Python package for calculation of physical properties of phases at thermodynamic equilibrium. Main application areas include computation of fluid phase equilibria and interfacial properties.
Phasepy includes routines for calculation of vapor-liquid equilibrium (VLE), liquid-liquid equilibrium (LLE) and vapor-liquid-liquid equilibrium (VLLE). Phase equilibrium can be modelled either with the continous approach, using a combination of a cubic equation of state (EoS, e.g. Van der Waals, Peng-Robinson, Redlich-Kwong, or their derivatives) model and a mixing rule (Quadratic, Modified Huron-Vidal or Wong-Sandler) for all phases, or the discontinuous approach using a virial equation for the vapor phase and an activity coefficient model (NRTL, Wilson, Redlich-Kister, UNIQUAC or Dortmund Modified UNIFAC) for the liquid phase(s).
Interfacial property estimation using the continuous phase equilibrium approach allows calculation of density profiles and interfacial tension using the Square Gradient Theory (SGT).
Phasepy supports fitting of model parameter values from experimental data.
- numpy
- scipy
- pandas
- openpyxl
- C/C++ Compiler for Cython extension modules
Get the latest version of phasepy from https://pypi.python.org/pypi/phasepy/
An easy installation option is to use Python pip:
$ pip install phasepy
Alternatively, you can build phasepy yourself using latest source files:
$ git clone https://github.com/gustavochm/phasepy
Note for Apple Silicon users: It is recommended to install python and phasepy dependencies (numpy, scipy, cython, pandas) through conda miniforge, then you can install phasepy running pip install phasepy.
Phasepy's documentation is available on the web:
Base input variables include temperature [K], pressure [bar] and molar volume [cm^3/mol]. Specification of a mixture starts with specification of pure components:
>>> from phasepy import component, mixture
>>> water = component(name='water', Tc=647.13, Pc=220.55, Zc=0.229, Vc=55.948,
w=0.344861, GC={'H2O':1})
>>> ethanol = component(name='ethanol', Tc=514.0, Pc=61.37, Zc=0.241, Vc=168.0,
w=0.643558, GC={'CH3':1, 'CH2':1, 'OH(P)':1})
>>> mix = mixture(ethanol, water)Here is an example how to calculate the bubble point vapor composition and pressure of saturated 50 mol-% ethanol - 50 mol-% water liquid mixture at temperature 320 K using Peng Robinson EoS. In this example the Modified Huron Vidal mixing rule utilizes the Dortmund Modified UNIFAC activity coefficient model for the solution of the mixture EoS.
>>> mix.unifac()
>>> from phasepy import preos
>>> eos = preos(mix, 'mhv_unifac')
>>> from phasepy.equilibrium import bubblePy
>>> y_guess, P_guess = [0.2, 0.8], 1.0
>>> bubblePy(y_guess, P_guess, X=[0.5, 0.5], T=320.0, model=eos)
(array([0.70761727, 0.29238273]), 0.23248584919691206)For more examples, please have a look at the Jupyter Notebook files located in the examples folder of the sources or view examples in github.
To report bugs, please use the phasepy's Bug Tracker at:
See LICENSE.txt for information on the terms & conditions for usage of this software, and a DISCLAIMER OF ALL WARRANTIES.
Although not required by the phasepy license, if it is convenient for you, please cite phasepy if used in your work. Please also consider contributing any changes you make back, and benefit the community.
Chaparro, G., Mejía, A. Phasepy: A Python based framework for fluid phase equilibria and interfacial properties computation. J Comput Chem. 2020, 41, 29, 2504-2526. https://doi.org/10.1002/jcc.26405.
