Recently, I was analyzing my core-flooding experimental data in a Julia notebook, when I realize that I don't have access to a few Matlab functions that I have written (or found elsewhere), which I use regularly for the calculation of physical properties of pure components. For instance, viscosity of water (I know that you know it is 0.001 Pa.s) or density of CO2 or nitrogen at different temperatures and pressures. I know that Professor Wagner and his group have developed a few highly-accurate equations of state for industrial applications and I knew that there is a software called FPROPS which is used in Ascend IV package. Searching the name in google showed me a fantastic package called CoolProp which is being developed mostly in thermodynamics laboratory in Universite de Liege. The code is written in C++ but it supports many languages and environments including Matlab and Python. The Python part was interesting to me because I can call it using PyCall package in Julia. First I installed the
CoolProp package using the instructions here. You can do it in Ubuntu 14.04 by running the following code in terminal:
sudo apt-get install g++ sudo apt-get install cython sudo apt-get install python-pip sudo apt-get install python-dev sudo pip install CoolProp
It took around a minute on my computer to compile and install the code. Then I found a reply about using
CoolProp in Julia google group. I'm too lazy to find the link again, but basically this is what you need to do to run
CoolProp in Julia.
Pkg.add("PyCall") using PyCall @pyimport CoolProp.CoolProp as CP mu_w= CP.Props("V","T",273.15+22.0,"P",100,"H2O") # mu [Pa.s], T [K], P [kPa]