ASALI is an open-source code developed for engineers, chemists and students working on the modeling of gas phase mixture. From one side, thanks to its user-friendly interface, ASALI is very helpful for those approaching the modeling of gas phase mixture for the first time. On the other side, it allows more expert users in performing detailed simulations without losing time in coding their own models.
Latest release: 10th May, 2020
1. GUI version
The GUI version of Asali, thanks to its user-friendly interface, is very helpful for those approaching the modeling of gas phase mixture for the first time. Moreover, its deep interaction with Cantera allows more expert users in performing detailed simulations without losing time in coding their own models.
Let's go straight to the point! Asali main features are:
- Estimation of thermodynamic/transport properties of ideal gas mixture
- Linear regression of thermodynamic/transport properties of ideal gas mixture
- Evaluation of thermodynamic equilibrium of ideal gas mixture
- Estimation of vacuum properties based of gas kinetic theory
- Modeling catalytic reactors
- Matlab and Octave interface for thermodynamic and transport properties
If you are interested in more details regarding models implemented in Asali have a look at the following paragraph; if not, jump to section number 1.2 for the installation instructions.
1.1.1 Thermodynamic and transport properties
The thermodynamic and transport properties evaluated by Asali are:
- Thermal conductivity
- Binary and mixture diffusivity
- Specific heat at constant pressure
Asali can be considered as a powerful user-friendly interface of Cantera, thus all the transport and thermodynamic properties are estimated following the approach implemented in Cantera. The transport properties are evaluated with the standard gas kinetic theory (Curtiss, Charles F., and Joseph O. Hirschfelder. "Transport properties of multicomponent gas mixtures." The Journal of Chemical Physics 17.6 (1949): 550-555.). The thermodynamic properties of each species are based on the NASA parameters and calculated according to the approach proposed by Gordon and McBride (Gordon, S., and B. J. McBride. "Technical Report SP-273." NASA Special Publication (1971)). Moreover, thermodynamic properties of the gaseous mixture are estimated by applying the Gibbs theorem.
1.1.2 Linear regression
This feature of Asali applies a least square fit to derive easy-to-handle functions of thermodynamic/transport properties. In particular, Asali estimates the thermodynamic/transport properties by using Cantera and derives exponential or linear functions describing these properties as a function of temperature.
1.1.3 Thermodynamic equilibrium
Cantera calculates also the thermodynamic equilibrium of ideal gas mixtures. Therefore, Asali exploits this feature to evaluate the equilibrium at constant temperature or at constant pressure. For more information have a look at Cantera user's guide.
1.1.4 Vacuum properties
The vacuum properties estimated by Asali are:
- Knudsen number
- Mean gas velocity
- Mean free path length
These properties are estimated according to the standard gas kinetic theory (Curtiss, Charles F., and Joseph O. Hirschfelder. "Transport properties of multicomponent gas mixtures." The Journal of Chemical Physics 17.6 (1949): 550-555.). In particular, the diffusivity value is estimated considering both the viscous regime and the rarefied regime according to the Knudsen number.
1.1.5 Catalytic reactors
Different catalytic reactor models are implemented in Asali:
- Batch reactor model
- Continuous stirred tank reactor model (CSTR)
- 1D Pseudo-homogeneous plug flow reactor model (PFR)
- 1D Heterogeneous plug flow reactor model
- Pressure drops
First of all, the transport and thermodynamic properties used by Asali in the reactor models are based on Cantera. Therefore the user can select either the
Default transport/thermodynamic properties or
Load CANTERA kinetic/properties file to performe a detailed simulations of catalytic reactors. However, since in most of the engineering problems, the transport and thermodynamic properties are considered constant, Asali allows users implement their own constant transport and thermodynamic properties. To enable this feature choose
User defined constant properties option in the kinetic scheme window selection.
Secondly, from a kinetic point of view, all reactor models implemented in Asali handle micro-kinetic, homogeneous (gas phase) or user defined kinetic schemes. In particular, the micro-kinetic or homogeneous (gas phase) schemes must be written in Cantera format. Moreover, for those users who want to implement their own reaction rates, Asali has a user-friendly interface allowing them write their own kinetic scheme.
Finally, the 1D Pseudo-homogeneous plug flow reactor model can be solved in transient and steady state mode, allowing a deep understading and analysis of the reactor behaviour.
Pressure drops option is a calculator of pressure drops for different reactor geometries (e.g. honeycomb, packed bed) based on state-of-the-art correlations.
1.1.6 Catalytic pellets
Different catalytic pellet geometries are implemented in Asali:
These models handle transport and thermodynamic properties from Cantera or by using
User defined constant properties. The diffusion coefficient inside the pellet is described by using a reduction coefficient or an epsi-tau model.
From a kinetic point of view, all pellet models implemented in Asali handle micro-kinetic, user defined kinetic schemes and homogeneous reactions.
1.2 Installation instructions
Asali is based on different open-source codes:
- Cantera: estimation of thermodynamic and transport properties based on the kinetic gas theory and NASA database
- Eigen libraries: linear system solver and handling of numerical issues
- Sundials libraries: IDA and CVODE solvers for Ordinay Differentional Equation (ODE) and Differential and Algebraic Equation (DAE) systems
- Gtkmm: gnome based graphical interface
- Matplotlib: a comprehensive library for creating static, animated, and interactive visualizations in Python
Asali has been tested on Ubuntu 16.04 LTS, Ubuntu 18.04 LTS, Windows 10, Windows 8 and Debian Wheezy. If your Operating System (OS) is not one of them, please send us an email: firstname.lastname@example.org
1.2.1 Linux OS
22.214.171.124 Pre-requisites installation
The Linux based external libraries can be installed by typing these commands:
sudo apt-get update
sudo apt-get install build-essential scons git python3-ruamel.yaml python3-yaml g++ gfortran python libboost-dev cython python-dev python-numpy python-numpy-dev python-setuptools python3 python3-dev python3-setuptools python3-numpy cython3
sudo update-alternatives --install /usr/bin/python python /usr/bin/python3 1
126.96.36.199 How to install Gtkmm libraries
188.8.131.52 How to install Matplotlib
184.108.40.206 How to install Cantera
Cantera can be downloaded with the following command:
git clone https://github.com/Cantera/cantera.git
To install Cantera type the following commands from the cantera folder:
scons build system_sundials=n
sudo scons install
More details can be found at: https://cantera.org/install/compiling-install.html
220.127.116.11 How to install ASALI
To install Asali run the following command, where
CANTERA_PREFIX is the path of your Cantera installation (usually
make all CANTERA_PREFIX=/usr/local/
To run Asali:
1.2.2 Windows OS
To install Asali on Windows just
double click on
Asali-Setup.exe and follow the instructions.
2. API version
The Asali version with Application Programming Interface is very helpful for those who need a reliable, simple and perfoming library for the estimation of thermodynamic and transport properties of ideal gas mixture.
If you are looking for something more advanced and with higher performance, we suggest OpenSMOKE++ and Cantera.
2.1 Thermodynamic and transport properties
Let's go straight to the point! Asali library can estimate:
- Thermal conductivity
- Binary and mixture diffusivity
- Specific heat at constant pressure
Asali estimates the transport properties with the standard gas kinetic theory (Curtiss, Charles F., and Joseph O. Hirschfelder. "Transport properties of multicomponent gas mixtures." The Journal of Chemical Physics 17.6 (1949): 550-555.). The thermodynamic properties of each species are based on the NASA parameters and calculated according to the approach proposed by Gordon and McBride (Gordon, S., and B. J. McBride. "Technical Report SP-273." NASA Special Publication (1971)). Moreover, thermodynamic properties of the gaseous mixture are estimated by applying the Gibbs theorem.
2.2 Supported programming languages
The API version is coded in the following programming languages:
ASALI is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. ASALI is distributed in the hope that it will be useful,but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.