PeleMP: The Multiphysics Solver for the Combustion Pele Adaptive Mesh Refinement Code Suite

Landon D. Owen, Wenjun Ge, Martin Rieth, Marco Arienti, Lucas Esclapez, Bruno S. Soriano, Michael E. Mueller, Marcus Day, Ramanan Sankaran, Jacqueline H. Chen

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Combustion encompasses multiscale, multiphase reacting flow physics spanning a wide range of scales from the molecular scales, where chemical reactions occur, to the device scales, where the turbulent flow is affected by the geometry of the combustor. This scale disparity and the limited measurement capabilities from experiments make modeling combustion a significant challenge. Recent advancements in high-performance computing (HPC), particularly with the Department of Energy’s Exascale Computing Project (ECP), have enabled high-fidelity simulations of practical applications to be performed. The major physics submodels, including chemical reactions, turbulence, sprays, soot, and thermal radiation, exhibit distinctive computational characteristics that need to be examined separately to ensure efficient utilization of computational resources. This paper presents the multiphysics solver for the Pele code suite, called PeleMP, which consists of models for spray, soot, and thermal radiation. The mathematical and algorithmic aspects of the model implementations are described in detail as well as the verification process. The computational performance of these models is benchmarked on multiple supercomputers, including Frontier, an exascale machine. Results are presented from production simulations of a turbulent sooting ethylene flame and a bluff-body swirl stabilized spray flame with sustainable aviation fuels to demonstrate the capability of the Pele codes for modeling practical combustion problems with multiphysics. This work is an important step toward the exascale computing era for high-fidelity combustion simulations providing physical insights and data for predictive modeling of real-world devices.

Original languageEnglish
Article number041103
JournalJournal of Fluids Engineering, Transactions of the ASME
Volume146
Issue number4
DOIs
StatePublished - Apr 1 2024

Funding

National Nuclear Security Administration (Funder ID: 10.13039/100006168). Office of Science (Funder ID: 10.13039/100006132). U.S. Department of Energy (Funder ID: 10.13039/ 100000015).

FundersFunder number
U.S. Department of Energy
Office of Science
National Nuclear Security Administration

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