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In-cylinder diesel spray combustion simulations using parallel computation: A performance benchmarking study

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  • Pang, Kar Mun
  • Ng, Hoon Kiat
  • Gan, Suyin

Abstract

In the present study, in-cylinder diesel combustion simulation was performed with parallel processing on an Intel Xeon Quad-Core platform to allow both fluid dynamics and chemical kinetics of the surrogate diesel fuel model to be solved simultaneously on multiple processors. Here, Cartesian Z-Coordinate was selected as the most appropriate partitioning algorithm since it computationally bisects the domain such that the dynamic load associated with fuel particle tracking was evenly distributed during parallel computations. Other variables examined included number of compute nodes, chemistry sizes and in situ adaptive tabulation (ISAT) parameters. Based on the performance benchmarking test conducted, parallel configuration of 4-compute node was found to reduce the computational runtime most efficiently whereby a parallel efficiency of up to 75.4% was achieved. The simulation results also indicated that accuracy level was insensitive to the number of partitions or the partitioning algorithms. The effect of reducing the number of species on computational runtime was observed to be more significant than reducing the number of reactions. Besides, the study showed that an increase in the ISAT maximum storage of up to 2GB reduced the computational runtime by 50%. Also, the ISAT error tolerance of 10−3 was chosen to strike a balance between results accuracy and computational runtime. The optimised parameters in parallel processing and ISAT, as well as the use of the in-house reduced chemistry model allowed accurate results to be produced with reduced computational runtime, especially in simulating in-cylinder reacting spray jet and soot characteristics on standard computing platforms.

Suggested Citation

  • Pang, Kar Mun & Ng, Hoon Kiat & Gan, Suyin, 2012. "In-cylinder diesel spray combustion simulations using parallel computation: A performance benchmarking study," Applied Energy, Elsevier, vol. 93(C), pages 466-478.
    • Handle: RePEc:eee:appene:v:93:y:2012:i:c:p:466-478
    DOI: 10.1016/j.apenergy.2011.12.023
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    References listed on IDEAS

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    1. Mohamed Ismail, Harun & Ng, Hoon Kiat & Gan, Suyin, 2012. "Evaluation of non-premixed combustion and fuel spray models for in-cylinder diesel engine simulation," Applied Energy, Elsevier, vol. 90(1), pages 271-279.
    2. Dhuchakallaya, I. & Watkins, A.P., 2010. "Application of spray combustion simulation in DI diesel engine," Applied Energy, Elsevier, vol. 87(4), pages 1427-1432, April.
    3. Prasad, B.V.V.S.U. & Sharma, C.S. & Anand, T.N.C. & Ravikrishna, R.V., 2011. "High swirl-inducing piston bowls in small diesel engines for emission reduction," Applied Energy, Elsevier, vol. 88(7), pages 2355-2367, July.
    4. Rakopoulos, C.D. & Kosmadakis, G.M. & Pariotis, E.G., 2010. "Critical evaluation of current heat transfer models used in CFD in-cylinder engine simulations and establishment of a comprehensive wall-function formulation," Applied Energy, Elsevier, vol. 87(5), pages 1612-1630, May.
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    Cited by:

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    2. Lucchini, T. & Della Torre, A. & D’Errico, G. & Onorati, A., 2019. "Modeling advanced combustion modes in compression ignition engines with tabulated kinetics," Applied Energy, Elsevier, vol. 247(C), pages 537-548.
    3. Ng, Hoon Kiat & Gan, Suyin & Ng, Jo-Han & Pang, Kar Mun, 2013. "Simulation of biodiesel combustion in a light-duty diesel engine using integrated compact biodiesel–diesel reaction mechanism," Applied Energy, Elsevier, vol. 102(C), pages 1275-1287.
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    5. Donateo, Teresa & Tornese, Federica & Laforgia, Domenico, 2013. "Computer-aided conversion of an engine from diesel to methane," Applied Energy, Elsevier, vol. 108(C), pages 8-23.

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