  In addressing the demands of industrial high-fidelity computation, the
present study introduces a rapid and accurate customized solver developed on
the OpenFOAM platform. To enhance computational efficiency, a novel integrated
acceleration strategy is introduced. Initially, a sparse analytical Jacobian
approach utilizing the SpeedCHEM chemistry library was implemented to increase
the efficiency of the ODE solver. Subsequently, the Dynamic Load Balancing
(DLB) code was employed to uniformly distribute the computational workload for
chemistry among multiple processes. Further optimization was achieved through
the introduction of the Open Multi-Processing (OpenMP) method to enhance
parallel computing efficiency. Lastly, the Local Time Stepping (LTS) scheme was
integrated to maximize the individual time step for each computational cell,
resulting in a noteworthy minimum speed-up of over 31 times. The effectiveness
and robustness of this customized solver were systematically validated against
three distinct partially turbulent premixed flames, Sandia Flames D, E, and F.
Additionally, a comparative analysis was conducted, encompassing different
turbulence models, turbulent Prandtl numbers, and model constants, resulting in
the recommendation of optimal numerical parameters for various conditions. The
present study offers one viable solution for rapid and accurate calculations in
the OpenFOAM platform, while also providing insights into the selection of
turbulence models and parameters for industrial numerical simulation.
