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THERMOCHEMICAL MECHANISM OPTIMIZATION FOR ACCURATE PREDICTIONS OF CH CONCENTRATIONS IN PREMIXED FLAMES OF C_1-C_3 ALKANE FUELS

机译:精确预测C_1-C_3烷烃混合气中CH浓度的热化学机理优化

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Increasingly stringent regulations on NO_x emissions are enforced by governments owing to their contribution in the formation of ozone, smog, fine aerosols, acid rains and nutrient pollution of surface water, which affect human health and environment. The design of high-efficiency, low-emission combustors achieving these ever-decreasing emission standards requires thermochemical mechanisms of sufficiently high accuracy. Recently, a comprehensive set of experimental data, collected through laser-based diagnostics in atmospheric, jet-wall, stagnation, premixed flames, was published for all isomers of C_1-C_4 alkane and alcohol fuels [1-3]. The rapid formation of NO through the flame front via the prompt (Fenimore) route was shown to be strongly coupled to the maximum concentration of the methylidyne radical, [CH]_(peak), and the flow residence time within the CH layer. A proper description of CH formation is then a prerequisite for accurate predictions of NO concentrations in hydrocarbon-air flames. However, a comparison against the Laser-Induced Fluorescence (LIF) experimental data of [3] revealed that 1) modern thermochemical mechanisms are unable to accurately capture the stoichiometric dependence of[CH]_(peak), and 2) for a given equivalence ratio, the predictions of different mechanisms span over more than an order of magnitude. This paper presents an optimization of the specific rate of a selection of nine elementary reactions included in the San Diego combustion mechanism [4]. A quasi-Newton algorithm is used to minimize an objective function defined as the sum of squares of the relative difference between the numerical and experimental CH-LIF data of [3], while constraining the specific rates to physically reasonable values. A mechanism properly describing CH formation for lean to rich, C_1-C_3 alkane-air flames is obtained. This optimized mechanism will enable accurate predictions of prompt-NO formation over a wide range of equivalence ratios and alkane fuels. Suggestions regarding which reactions require further investigations, either through experimental or theoretical assessments of the individual specific rates, are also provided.
机译:政府对NO_x排放的法规越来越严格,原因是它们对臭氧,烟雾,细小气溶胶,酸雨和地表水营养成分的形成做出了贡献,从而影响了人类健康和环境。实现这些不断降低的排放标准的高效,低排放燃烧器的设计需要足够高的精度的热化学机理。最近,发表了关于大气中的C_1-C_4烷烃和醇类燃料的所有异构体的,通过基于激光的诊断方法在大气,射流壁,停滞,预混火焰中收集的一套全面的实验数据[1-3]。通过快速(费尼莫尔)途径通过火焰前沿迅速形成一氧化氮表明,它与亚甲基自由基的最大浓度[CH] _(峰值)以及在CH层内的流动停留时间密切相关。因此,对CH形成的正确描述是准确预测碳氢化合物-空气火焰中NO浓度的先决条件。然而,与文献[3]的激光诱导荧光(LIF)实验数据的比较表明,1)现代热化学机制无法准确捕获[CH] _(peak)的化学计量依赖性,以及2)对于给定的当量比率,不同机制的预测跨越一个数量级以上。本文介绍了圣地亚哥燃烧机理中包括的九种基本反应的选择比的优化[4]。准牛顿算法用于最小化目标函数,该目标函数定义为[3]的数值CH-LIF和实验CH-LIF数据之间的相对差的平方和,同时将特定比率限制为物理上合理的值。获得了一种机制,该机制正确地描述了从稀到浓的C_1-C_3烷烃-空气火焰的CH形成。这种优化的机制将能够在广泛的当量比和烷烃燃料范围内准确预测迅速生成NO的现象。还提供了有关哪些反应需要进一步研究的建议,方法是通过实验或理论上对各个具体比例的评估。

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