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Impact of Ethane, Propane, and Diluent Content in Natural Gas on the NO_x emissions of a Commercial Microturbine Generator

机译:乙烷,丙烷和稀释剂含量在商业Microturbine发电机NO_X排放中的天然气中的影响

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Fluid dynamics and chemical kinetics play a significant role in the formation and emission of NO_x, particularly in lean premixed gas turbine combustors, where both phenomena must be considered. However, experimental tests conducted on gas turbines generally evaluate the output variables (e.g., the stack emissions) and those results are used to infer, to the extent possible, the physical and chemical processes taking place in the combustor. This approach only gives an external point of view, which can be complimented with the use of simulation tools such as the chemical kinetics models and computational fluid dynamics. In this paper, a reactor network analysis (RNA) of a 60 kW micro gas turbine combustor fueled with mixtures of natural gas-ethane-propane; and natural gas diluted with carbon dioxide are presented. A chemical reactor network (CRN) is developed for the combustor as operated on natural gas, with the purpose of "tuning" it to match measured exhaust emission levels. Then the CRN is used to analyze the effect of fuel composition on the NO_x emissions. The development of the CRN model is guided by reacting flow computational fluid dynamics (CFD). The CFD results define some of the important variables for the CRN, such as the residence time, volume of the reactors, temperature profiles, recirculation and mixing patterns. This strategy also gives insight to the complex phenomena occurring in the combustion chamber otherwise beyond the experiments. The CRN gives a detailed description of the emissions formation pathways while taking into account the mixing patterns obtained with the CFD. Experimental results are available from a previous studies conducted at the UCI Combustion Laboratory. The results obtained with the CRN indicate that the most important mechanism leading the formation of NO_x under the operating conditions of this engine is the N_2O pathway. This is the dominant pathway regardless the fuel composition. The CRN model predicts similar trends in overall emissions levels as those observed experimentally. The results also show that fuel dilution with CO_2 hinders all the NO_x routes but has a more significant effect on the thermal and N_2O routes. The addition of heavier alkanes (propane and ethane) promotes the formation of NO_x since the production of O and H radicals are stimulated. Those radicals are involved in the N_2O mechanism.
机译:流体动力学和化学动力学在NO_X的形成和排放中发挥了重要作用,特别是在精益预混的燃气轮机燃烧器中,其中必须考虑这两个现象。然而,在燃气轮机上进行的实验测试通常评估输出变量(例如,堆积排放),并且这些结果用于推断出在燃烧器中发生的物理和化学过程。这种方法仅提供外部的角度,可以与化学动力学模型和计算流体动力学等仿真工具一起使用。本文用自然气乙烷 - 丙烷的混合物燃烧了60kW微型燃气轮机燃烧器的反应堆网络分析(RNA);提出了用二氧化碳稀释的天然气。为在天然气上操作的燃烧器开发了化学反应器网络(CRN),目的是“调谐”它以匹配测量的排气水平。然后CRN用于分析燃料组合物对NO_X排放的影响。通过反应流量计算流体动力学(CFD)引导CRN模型的发展。 CFD结果定义CRN的一些重要变量,例如停留时间,反应器的体积,温度谱,再循环和混合图案。该策略还提供了在燃烧室中发生的复杂现象的洞察,否则在实验之外。 CRN给出了发射形成途径的详细描述,同时考虑了用CFD获得的混合模式。实验结果可从UCI燃烧实验室进行的先前研究。用CRN获得的结果表明,在该发动机的运行条件下,最重要的机制导致NO_X的形成是N_2O途径。这是诸如燃料组合物的主要路径。 CRN模型预测整体排放水平的类似趋势,因为实验观察到的整体排放量。结果还表明,使用CO_2的燃料稀释阻碍了所有NO_X路由,但对热和N_2O路线具有更大的影响。添加较重的烷烃(丙烷和乙烷)促进NO_X的形成,因为施用O和H基团的产生。这些基团参与了N_2O机制。

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