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Experimentation and modeling of NOx formation from a micro-pilot ignited natural gas engine.

机译:微型引燃天然气发动机形成NOx的实验和建模。

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摘要

A diesel micro-pilot ignited natural gas engine under study in the Internal Combustion Engines Laboratory in the Department of Mechanical Engineering at the University of Alabama shows good promise for future alternative fuel use. The ultra-low NOx emissions and diesel-like fuel conversion efficiency make it a good substitute for diesel engines. In this dissertation, experimental and modeling results for NOx formation in the research engine are described. NOx was measured for varying diesel pilot injection timing, intake temperature, and diesel pilot quantity. It is shown that for the "ALPING" (Advanced Low Pilot Ignited Natural Gas) region, consisting of injection timings advanced beyond 50° before top dead center, NOx emissions are lower than 0.2 g/kWh with diesel-like fuel conversion efficiency of around 40 percent.; NOx modeling coupled with sensitivity analysis of NOx formation reactions in an ALPING engine is performed based on the Krishnan's phenomenological combustion model (2005). The NOx formation model incorporates a super-extended Zel'dovich mechanism (SEZM) with up to 43 reactions. NOx predictions are based on both the extended Zel'dovich mechanism (EZM) and the SEZM. It is shown that for injection timings between 20° and 35° BTDC, the SEZM improves the NOx prediction over the standard EZM by as much as 50 percent. For injection timings between 40° and 60° BTDC, the combustion model using either the EZM or SEZM overpredicts NOx emissions compared to experimental results. The sensitivity analysis compares the normalized sensitivity coefficients for each major NOx formation reaction, and identifies the rate controlling NOx formation reactions. Results show that the following reactions are important only in the packet zone: O+N2=NO+N R1 N+O2=NO+O R2 while the following reactions are important mainly in the burned zone: N2O+M=N2+O+M R7 N2O+O2=NO+NO2 R10 Reactions 7 and 10 are also important in packets leaned out by the effect of advanced injection timing.; Reaction 21 below is important in both high temperature and low temperature regions, thus it is important for both the fuel packets and burned zone: N2+HO2=NO+HNO R21 Rate parameters for these reactions affect NOx formation the most, therefore, they should be known most accurately. Sensitivity analysis can improve the understanding of NOx formation and help provide better insight into modeling of NOx formation from engines. This NOx model can be used for parametric studies to reduce NOx emissions computationally prior to experimentation for validation purposes. Finally, because the quasi-steady-state approximation is commonly used for certain species in NOx modeling, the relative error is estimated to evaluate its use. The transient relative error in NOx prediction for this assumption is of the order of 2 percent.
机译:阿拉巴马大学机械工程系的内燃机实验室正在研究一种柴油微飞行员点火的天然气发动机,它显示了未来替代燃料的良好前景。超低的NOx排放和类似柴油的燃料转换效率使其成为柴油发动机的良好替代品。本文描述了研究引擎中NOx形成的实验和建模结果。测量NOx以改变柴油引燃喷射正时,进气温度和柴油引燃量。结果表明,对于“ ALPING”(先进的低先导点火天然气)区域,其喷射正时提前超过上死点之前的50°,NOx排放低于0.2 g / kWh,类似于柴油的燃料转化效率约为40%。基于Krishnan的现象燃烧模型(2005年),进行了NOx建模以及ALPING发动机中NOx形成反应的敏感性分析。 NOx形成模型结合了具有多达43个反应的超扩展Zel'dovich机理(SEZM)。 NOx的预测是基于扩展的Zel'dovich机制(EZM)和SEZM。结果表明,对于在20°和35°BTDC之间的喷射定时,SEZM比标准EZM的NOx预测提高了多达50%。对于介于40°和60°BTDC之间的喷射正时,使用EZM或SEZM的燃烧模型与实验结果相比会高估NOx排放量。灵敏度分析比较每个主要NOx形成反应的归一化灵敏度系数,并确定控制NOx形成反应的速率。结果表明,以下反应仅在包封区域很重要:O + N2 = NO + N R1 N + O2 = NO + O R2而以下反应主要在燃烧区域很重要:N2O + M = N2 + O + M R7 N2O + O2 = NO + NO2 R10反应7和10在因提前喷射时间的影响而倾斜的包装中也很重要。以下反应21在高温和低温区域都很重要,因此对于燃料包和燃烧区都很重要:N2 + HO2 = NO + HNO R21这些反应的速率参数对NOx的形成影响最大,因此,它们应该最准确地知道。敏感性分析可以增进对NOx形成的理解,并有助于更好地了解发动机NOx形成的模型。此NOx模型可用于参数研究,以在实验前通过计算减少NOx排放以进行验证。最后,由于准稳态近似通常用于NOx建模中的某些物种,因此估计相对误差以评估其使用。对于该假设,NOx预测中的瞬态相对误差约为2%。

著录项

  • 作者

    Yang, Huateng.;

  • 作者单位

    The University of Alabama.;

  • 授予单位 The University of Alabama.;
  • 学科 Engineering Mechanical.
  • 学位 Ph.D.
  • 年度 2005
  • 页码 239 p.
  • 总页数 239
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 机械、仪表工业;
  • 关键词

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