Assessment of On-the-Fly Chemistry Reduction and Tabulation Approaches for the Simulation of Moderate or Intense Low-Oxygen Dilution Combustion.
Assessment of On-the-Fly Chemistry Reduction and Tabulation Approaches for the Simulation of Moderate or Intense Low-Oxygen Dilution Combustion.
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DOI：
10.1021/acs.energyfuels.8b01001
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发表时间：
2018-10-18
期刊：
影响因子：
--
通讯作者：
Parente A
中科院分区：
文献类型：
--
作者：
Li Z;Lewandowski MT;Contino F;Parente A
本文重点介绍以天然气和沼气为原料的热并流 (DJHC) 燃烧器中的代尔夫特喷射式喷嘴的数值模拟，使用具有动态化学还原和表格的涡耗散概念 (EDC) 模型，即表格动态自适应化学 (TDAC)。使用多种化学还原方法，针对各种 EDC 模型常数和复杂性不断增加的化学机制，对 TDAC 提供的中央处理单元 (CPU) 时间节省进行了评估。结果表明，当使用骨骼机制（DRM19）和综合动力学机制（POLIMIC1C3HT）时，TDAC方法分别提供1.4-2.0和超过10的加速因子。与其他方法（例如有向关系图 (DRG) 和路径通量分析 (PFA)）相比，带有误差传播的有向关系图 (DRGEP)、动态自适应化学 (DAC) 和基本通量分析 (EFA) 缩减模型显示出优越的性能。所有缩减模型都已针对运行时间缩减进行了调整。此外，对于小型机构，制表的贡献更为重要，而对于大型机构，归约起着主要作用。
The current paper focuses on the numerical simulation of the Delft jet in hot co-flow (DJHC) burner, fed with natural gas and biogas, using the eddy dissipation concept (EDC) model with dynamic chemistry reduction and tabulation, i.e., tabulated dynamic adaptive chemistry (TDAC). The central processing unit (CPU) time saving provided by TDAC is evaluated for various EDC model constants and chemical mechanisms of increasing complexity, using a number of chemistry reduction approaches. Results show that the TDAC method provides speed-up factors of 1.4–2.0 and more than 10 when using a skeletal mechanism (DRM19) and a comprehensive kinetic mechanism (POLIMIC1C3HT), respectively. The directed relation graph with error propagation (DRGEP), dynamic adaptive chemistry (DAC), and elementary flux analysis (EFA) reduction models show superior performances when compared to other approaches, such as directed relation graph (DRG) and path flux analysis (PFA). All of the reduction models have been adapted for run-time reduction. Furthermore, the contribution of tabulation is more important with small mechanisms, while reduction plays a major role with large ones.
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