Imperial College London
Alternate

Dr Stelios Rigopoulos

Faculty of Engineering, Department of Mechanical Engineering

Reader in Thermofluids
 
 
 
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Contact

 

+44 (0)20 7594 7108s.rigopoulos

 
 
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Location

 

620City and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Sewerin:2019:10.1080/00102202.2019.1571054,
author = {Sewerin, F and Rigopoulos, S},
doi = {10.1080/00102202.2019.1571054},
journal = {Combustion Science and Technology},
pages = {766--796},
title = {Algorithmic aspects of the LES-PBE-PDF method for modeling soot particle size distributions in turbulent flames},
url = {http://dx.doi.org/10.1080/00102202.2019.1571054},
volume = {191},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - In recent times, the LES-PBE-PDF framework has been developed to couple large eddy simulation (LES) and population balance models (PBE) for the description of soot formation in turbulent hydrocarbon flames. This approach is based on a modeled evolution equation for the LES-filtered probability density function (pdf) associated with the instantaneous gas composition and soot particle size distribution. Here, the interaction of turbulence with chemical reactions and soot formation can be represented without approximations on part of the chemical and soot formation kinetics, while effects due to turbulent transport and molecular diffusion require closure. In view of an efficient numerical solution scheme, we previously proposed to combine a statistically equivalent reformulation of the joint scalar-number density pdf based on Eulerian stochastic fields with a time-explicit adaptive grid discretization in particle size space and a fractional time stepping scheme. In this article, we present algorithmic aspects and relay implementational details for a consistent semi-discrete formulation of the PBE fractional step as well as an effective dynamic load balancing scheme for both the chemical reaction and PBE fractional steps. Considering soot formation in the Delft III turbulent diffusion flame as a test case, we show that the persisting load imbalance is almost negligible on average and give evidence of linear strong scaling on a modern high performance computer for moderate numbers of compute nodes.
AU  - Sewerin,F
AU  - Rigopoulos,S
DO  - 10.1080/00102202.2019.1571054
EP  - 796
PY  - 2019///
SN  - 0010-2202
SP  - 766
TI  - Algorithmic aspects of the LES-PBE-PDF method for modeling soot particle size distributions in turbulent flames
T2  - Combustion Science and Technology
UR  - http://dx.doi.org/10.1080/00102202.2019.1571054
UR  - http://hdl.handle.net/10044/1/69434
VL  - 191
ER  -
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