ARCANE
arcane [ɑːˈkeɪn], adjective : Understood by few; mysterious or secret.
ARCANE (Analytical Reduction of Chemistry : Automatic, Nice and Efficient) is a chemistry reduction code based on YARC written by Pr. Perrine Pepiot. Its goal is to provide a user friendly reduction tool as well as an interface for Cantera.
The code is developed by CERFACS and Cornell University to generate chemical kinetics mechanisms that are computationally affordable for LES simulations of combustion. It can also be used in any configuration involving chemical kinetics such as steam cracking or bio-chemistry problems.
ARCANE is written in python and relates on Cantera for the chemistry calculations. The code uses Direct Relation Graph with Error Propagation method (DRGEP) for the reduction of species and reactions and Level Of Importance (LOI) for the Quasi Steady-State (QSS) step. Furthermore, it provides a great modularity (custom cases, custom errors, etc …) as well as automatization (direct reduction from the detailed chemistry to the final Analytically Reduced Chemistry (ARC) mechanism with a simple python script).
Get the code:
The code is hosted on Gitlab and free access for research purposes can be provided if an agreement to the ARCANE License is signed. Please contact the person identified here. Note that the access for US institutions is handled by Cornell University.
To cite this code, please use: Quentin Cazères, Perrine Pepiot, Eleonore Riber, Bénédicte Cuenot, (2021), A fully automatic procedure for the analytical reduction of chemical kinetics mechanisms for Computational Fluid Dynamics applications, Fuel, Volume 303, 121247, ISSN 0016-2361, https://doi.org/10.1016/j.fuel.2021.121247 [file]
Or in BibTeX format:
@article{Cazeres_2021,
author = {Quentin Cazères and Perrine Pepiot and Eleonore Riber and Bénédicte Cuenot},
title = {A fully automatic procedure for the analytical reduction of chemical kinetics mechanisms for Computational Fluid Dynamics applications},
journal = {Fuel},
volume = {303},
pages = {121247},
year = {2021},
issn = {0016-2361},
doi = {https://doi.org/10.1016/j.fuel.2021.121247},
url = {https://www.sciencedirect.com/science/article/pii/S0016236121011261},
keywords = {Chemical kinetics reduction, ARCANE, Analytically reduced chemistry},
}
In this section, you will find :
- the way to install ARCANE on your machine.
- some tutorials to be able to use it on your own.