Implementation of Manifold-Based Combustion Models in a Highly Scalable Low Mach Number Reacting Flow Solver: Preprint
Manifold-based representations of the thermochemistry are often employed in conjunction with large eddy eimulation (LES) to lower the cost of combustion simulations. This work describes steps taken to implement this modeling approach in PeleLM, a scalable and performance-portable low Mach number flow solver. Most significantly, this includes adapting the projection method used by PeleLM to satisfy the mass conservation constraint for use with manifold-based models. The implementation is designed to be general across manifold-based models, including both those that employ traditional tabulation and those that employ neural networks. An initial demonstration for simple test cases is presented and will be used for performance assessment.
- Research Organization:
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC); USDOE National Nuclear Security Administration (NNSA); USDOE Exascale Computing Project
- DOE Contract Number:
- AC36-08GO28308
- OSTI ID:
- 1877070
- Report Number(s):
- NREL/CP-2C00-82000; MainId:82773; UUID:c386381d-fe9c-46a1-b1d7-15e60974516e; MainAdminID:64854
- Resource Relation:
- Conference: Presented at the 2022 WSSCI Spring Technical Meeting, 21-22 March 2022, Stanford, California
- Country of Publication:
- United States
- Language:
- English
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