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LARGE EDDY SIMULATIONS OF A GAS TURBINE COMBUSTOR WITH A PARAMETERIZED LINEAR-EDDY MODEL

机译:参数化线性涡流模型的燃气轮机燃烧室的大涡模拟

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Large-eddy simulation of a gas turbine combustor with a subgrid model based on a parameterization of the linear-eddy model (LEM) is presented. The combustor chosen for this study involved the General Electric LM6000 lean pre-mixed, dry, low-NOx combustor. The subgrid model was formulated by populating a database of turbulent flame speed statistics from a LEM - counter flow (CF) solver (Calhoon) that was parameterized in terms of subgrid Reynolds and Karlovitz numbers. This combustor was also modeled using the thin-flame formulation of Pocheau , which was correlated to match experimental flame speed data for methane - air and ethylene -air premixed flames. The LEM-CF subgrid model formulation shows overall good agreement with the experimental data, and a substantial improvement compared to the correlated Pocheau model. The Pocheau formulation, though tuned to match experimental data at different conditions, predicts a much larger turbulent flame speed than the LEM-CF formulation. The basic LEM was calibrated by Smith and Menon using experimental data for premixed flame speeds at different conditions than for the LM6000 case. However, using these same coefficients, the LEM-CF formulation produced good agreement for the LM6000 case. This demonstrates the superiority of the LEM-CF's first principles, physics based prediction of the flame properties, and how its formulation may be applied with a much greater degree of confidence, to conditions different from what it has originally been developed for and tested with.
机译:基于线性涡模型(LEM)的参数化,提出了带有子网格模型的燃气轮机燃烧室的大涡模拟。此项研究选择的燃烧器涉及通用电气LM6000贫油预混合,干燥,低NOx燃烧器。通过填充来自LEM-逆流(CF)解算器(Calhoon)的湍流火焰速度统计数据的数据库来建立子网格模型,该数据库根据子网格雷诺数和Karlovitz数进行了参数化。该燃烧器还使用Pocheau的稀薄火焰公式进行建模,该公式与甲烷-空气和乙烯-空气预混火焰的实验火焰速度数据相关。 LEM-CF子网格模型的公式显示与实验数据总体上很好的一致性,并且与相关的Pocheau模型相比,有了实质性的改进。尽管已经调整Pocheau配方以匹配不同条件下的实验数据,但预测的湍流火焰速度要比LEM-CF配方大得多。 Smith和Menon使用与LM6000情况不同条件下的预混火焰速度的实验数据,对基本LEM进行了校准。但是,使用这些相同的系数,LEM-CF公式对于LM6000情况产生了很好的一致性。这证明了LEM-CF的第一原理的优越性,即基于物理原理的火焰特性预测,以及如何以更高的置信度将其配方应用于不同于最初开发和测试的条件。

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