Verification and Validation of a Low-Mach-Number Large-Eddy Simulation Code against Manufactured Solutions and Experimental Results
Yingzu Liu,
Kaidi Wan,
Liang Li,
Zhihua Wang and
Kefa Cen
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Yingzu Liu: State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310027, China
Kaidi Wan: State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310027, China
Liang Li: School of Engineering and Technology, University of Hertfordshire, Herts AL10 9AB, UK
Zhihua Wang: State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310027, China
Kefa Cen: State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310027, China
Energies, 2018, vol. 11, issue 4, 1-14
Abstract:
To investigate turbulent reacting flows, a low-Mach number large-eddy simulation (LES) code called ‘LESsCoal’ has been developed in our group. This code employs the Germano dynamic sub-grid scale (SGS) model and the steady flamelet/progress variable approach (SFPVA) on a stagger-structured grid, in both time and space. The method of manufactured solutions (MMS) is used to investigate the convergence and the order of accuracy of the code when no model is used. Finally, a Sandia non-reacting propane jet and Sandia Flame D are simulated to inspect the performance of the code under experimental setups. The results show that MMS is a promising tool for code verification and that the low-Mach-number LES code can accurately predict the non-reacting and reacting turbulent flows. The validated LES code can be used in numerical investigations on the turbulent combustion characteristics of new fuel gases in the future.
Keywords: low-Mach number large-eddy simulation (LES); code validation; method of manufactured solutions; Flame D; flamelet (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
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