CERFACS Chemistry Sharing knowledge for CFD chemical kinetics

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 the CERFACS Gitlab and free access can be given by contacting the authors.

 

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

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 :

No event has been found

Mon

15

Nov

The 15 November 2021

Numerical tools for complex chemistry simulations: the open source CANTERA solver

CERFACS, Toulouse - France |  0 comment

Tout afficher