  In this study, we introduce a novel open-source chemistry model for OpenFOAM
to speed-up the reactive computational fluid dynamics (CFD) simulations using
finite-rate chemistry. First, a dynamic load balancing model called DLBFoam is
introduced to balance the chemistry load during runtime in parallel
simulations. In addition, the solution of the cell-based chemistry problem is
improved by utilizing an analytical Jacobian using an open-source library
called pyJac and an efficient linear algebra library LAPACK. Combination of the
aforementioned efforts yields a speed-up factor 200 for a high-fidelity
large-eddy simulation spray combustion case compared to the standard OpenFOAM
implementation. It is worth noting that the present implementation does not
compromise the solution accuracy.
