Assessment of Adaptive chemistry via pre-partitioning of composition space and mechanism reduction for the Simulation of MILD Combustion
(2022) , 8 pages
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- Abstract
- Moderate or Intense Lowoxygen Dilution (MILD) combustion has become increasingly important as it ensures high combustion efficiency with low pollutant emissions. However, modelling this regime is much more difficult than for conventional flames due to the strong coupling between turbulent mixing and chemical kinetics. The use of detailed chemistry has therefore become an essential requirement in CFD (Computational Fluid Dynamics) simulations, although reducing the chemical mechanism is an effective way to dramatically reduce the computational cost. One globally reduce mechanism is suboptimal as it needs to be comprehensive for all the thermochemical conditions, yet the on-the-fly chemistry reduction carries also some computational overheard. Therefore the methodology SPARC (SamplePartitioning Adaptive Reduced Chemistry) for the inclusion of detailed chemistry is investigated in this work. It alleviates the overhead associated to the on-the-fly reduction by building a library of locally reduced mechanisms in the preprocessing step. The current paper focuses on an apriori assessment of SPARC for simulating Delft jet in hot coflow (DJHC) burner fed with natural gas. The analysis will assess the level of reduction reached in the preprocessing step with different chemical mechanism, Gri3.0_HT, POLIMIC1C3_HT and POLIMIC1C3HT_NOx. First the clustering algorithm is tested with datasets of different sizes. Then the impact of partitioning parameters on the degree of reduction is quantified.
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Citations
Pagani, P., Parente, A., & Contino, F. (2022). Assessment of Adaptive chemistry via pre-partitioning of composition space and mechanism reduction for the Simulation of MILD Combustion. https://hdl.handle.net/2078.5/108356