Computational Combustion Laboratory (CCL)


Ongoing Research


Computational Combustion Modeling | Combustion-generated Pollutants | Atmospheric Soot | High-performance Computing



Efficient and scalable solvers for HPC in combustion

Improving a nongray radiation solver

Radiation is one of the most important mode of heat transfer in any combustion system [1,2]. Accurate modeling of radiative transfer, however, is very complex and computationally very intensive, even for relatively simple configurations. Difficulties of resolving radiation in combustion system stems from two direction: (a) highly nonlinear radiative properties of participating media, and (b) high dimensionality of the radiative transfer equation (RTE). While there are several approximate models for both the hurdles (such as WSGG, FSK, etc. for radiative properties and DOM, PN, DTM, etc for RTE solver), one line-by-line photon Monte Carlo (LBL/PMC) can produce accurate results while resolving both the problems of nonlinear radiative properties and high dimensioanlity. The disadvantage of LBL/PMC is its computational cost both in terms of time and memory requirements.

This project aims to improve the current state-of-the-art of LBL/PMC scheme to increase its scalability so that it can be employed in massively parallel computations without loosing accuracy.

[1] Modest, M. Radiative Heat Transfer, 3rd Ed. Academic Press, NY, U.S. 2013.
[2] Modest, M and Haworth, D. Radiative Heat Transfer in Turbulent Combustion Systems: Theory and Applications. 1st Ed. Springer. 2016.

Memory use
Fig: Improvement in shared memory use in LBL/PMC using new scheme.

Scaling
Fig: Strong scaling efficiency of different schemes in PMC without any load balancing.

Recent CCL Publications
  • A Photon Monte Carlo Solver Utilizing a Low Discrepancy Sequence for Thermal Radiation in Combustion Systems. Farmer, J., A.; and Roy, S., P. In 9th International Symposium on Radiative Transfer-RAD19, 2019. ICHMT.
  • A detailed modeling study of radiative heat transfer in a heavy-duty diesel engine. Paul, C.; Ferreyro Fernandez, S.; Haworth, D., C.; Roy, S.; and Modest, M., F. Combustion and Flame, 200: 325-341. 2019.
  • An Efficient Monte Carlo-based Solver for Thermal Radiation in Participating Media. Farmer, J., A.; and Roy, S., P. In 4th Thermal and Fluids Engineering Conference (TFEC), 2019. ASTFE
  • Improvements to photon Monte Carlo radiation solver for combustion simulations. Roy, S., P.; Weise, S.; Gupta, A.; Modest, M., F.; Hasse, C.; and Haworth, D. In The 16th International Conference on Numerical Combustion, 2017. SIAM.
Researchers
  • Khaled Mosharraf Mukut
  • Chloe David
  • Chaimaa Maghfour

Supporting organizations

NSF