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Sooting Behavior of Hydrocarbons and Fuels

机译:碳氢化合物和燃料的烟ing行为

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Soot is a major byproduct of the combustion of hydrocarbon fuels, with severe implications for human health and the climate. Reducing soot emissions is a major objective of combustion research today. The nature and composition of fuels has an enormous impact on the amount of soot produced in a combustion process. Understanding the relationship between the structure of fuels and their tendency to form soot therefore provides an avenue for controlling soot production and emissions.;In this thesis, optical and laser-based diagnostic techniques are employed to measure the sooting tendencies of various fuels and pure compounds. Sooting tendencies are quantified by doping these fuels and compounds in very low concentrations into a coflowing methane/air flame, and measuring the volume fraction of soot produced in these flames. These sooting tendencies, which are expressed as Yield Sooting Indices (YSIs), are then related to the structure of the fuel or pure compound doped into the flame.;Biodiesel fuels form an important constituent of the renewable energy resources landscape. Biodiesel are composed of esters, which are oxygenated hydrocarbons, frequently with one or more C=C double bonds. While the presence of oxygen in hydrocarbons can reduce sooting tendency, unsaturation of C=C bonds can increase it. To better understand the effects of these double bonds on the sooting properties of esters, the YSIs of a wide variety of esters were measured. The C=C double bond was found to have a significant effect on the sooting tendency, frequently completely negating the presence of the oxygen atom. Other structural features of the esters, such as the location of the C=C double bond along the carbon backbone, and distribution of carbon atoms on either side of the carbonyl group, also impacted sooting behavior. A group-additivity model for sooting behavior was also developed to systematize the effects of these structural features.;Unlike biodiesels, conventional petroleum derived fuels are complex mixtures of thousands of hydrocarbons. Surrogates, which are mixtures of a small number of pure compounds designed to mimic important properties of these fuels, are frequently used to facilitate detailed experimental and computational studies of conventional fuels. Developing surrogates which mimic the sooting behavior of their target fuels is an important requirement. Towards this end the sooting behavior of several real diesel and jet fuels, literature surrogates of these fuels, and pure compound components of these surrogates, was investigated. In some cases, the surrogates were found to closely replicate the sooting behavior of their target fuel. The degree of correspondence between the distribution of different types of carbon atoms in the fuel and surrogate, as quantified through NMR spectroscopy, was found to be the most important parameter in controlling how closely the surrogate replicated the target fuel's sooting behavior. Based on this information, and the measured sooting behavior of pure compounds, mixing rules were proposed to formulate newer surrogates which would better match the sooting behavior of their target fuels.;Finally, employing optical digital camera based diagnostics, the sooting tendencies of a large number of pure compound hydrocarbons (≥ 400) was reconciled into a single unified, internally consistent, sooting tendency database for the first time. This database contains compounds from all categories of hydrocarbons important in modern fuels, and establishes the sooting tendencies of several aromatic and oxygenated hydrocarbons on the same numeric scale for the first time. A predictive model for sooting behavior of hydrocarbons, based on decomposing compounds into their constituent carbon-atom fragments, was developed using this unified database. The model was found to be accurate in predicting the YSIs of compounds across three orders of magnitude and provided insights into the effects of chemical structure on soot formation. Prediction failures of the model were useful in revealing the presence of more complex kinetic sooting mechanisms. This work is expected to enable the rational design of low-sooting fuel blends from a wide range of feedstocks.
机译:煤烟是碳氢燃料燃烧的主要副产品,对人类健康和气候产生严重影响。减少烟尘排放是当今燃烧研究的主要目标。燃料的性质和组成对燃烧过程中产生的烟尘量具有巨大影响。因此,了解燃料的结构及其形成烟灰趋势之间的关系为控制烟灰的产生和排放提供了一种途径。本文采用基于光学和激光的诊断技术来测量各种燃料和纯化合物的烟灰趋势。 。通过将极低浓度的这些燃料和化合物掺入并流的甲烷/空气火焰中,并测量在这些火焰中产生的烟灰的体积分数,可以量化烟灰的趋势。这些烟灰趋势被表示为产量烟灰指数(YSIs),然后与燃料或掺杂到火焰中的纯化合物的结构有关。生物柴油燃料是可再生能源资源格局的重要组成部分。生物柴油由酯组成,酯是含氧烃,通常带有一个或多个C = C双键。尽管碳氢化合物中氧的存在可以减少烟灰的趋势,但C = C键的不饱和度可以增加碳黑的趋势。为了更好地理解这些双键对酯的烟ot性能的影响,测量了各种酯的YSI。发现C = C双键对烟so趋势具有显着影响,经常完全消除氧原子的存在。酯的其他结构特征,例如沿碳主链的C = C双键的位置以及羰基两侧的碳原子分布,也影响了烟so行为。还开发了用于烟so行为的组加和模型以系统化这些结构特征的影响。与生物柴油不同,常规石油衍生燃料是数千种烃类的复杂混合物。替代物是少量纯净化合物的混合物,旨在模仿这些燃料的重要性能,通常用于促进常规燃料的详细实验和计算研究。开发模拟其目标燃料的烟ot行为的替代物是重要的要求。为此,研究了几种实际柴油和喷气燃料的烟灰行为,这些燃料的文献替代物以及这些替代物的纯化合物成分。在某些情况下,代孕代被发现可以很好地复制其目标燃料的烟ot行为。通过NMR光谱定量,发现燃料和替代物中不同类型碳原子的分布之间的对应程度是控制替代物复制目标燃料的烟ing行为的最重要参数。根据这些信息以及所测得的纯化合物的烟so行为,提出了混合规则以制定更适合其目标燃料烟ot行为的新型替代物。最后,采用基于光学数码相机的诊断技术,烟so的趋势很大首次将纯化合物碳氢化合物(≥400)的数量对帐为一个统一的,内部一致的烟灰趋势数据库。该数据库包含现代燃料中重要的所有类别的烃中的化合物,并首次建立了几种芳香族和含氧烃在相同数值范围内的烟so趋势。使用该统一数据库,开发了基于碳氢化合物碳烟行为的预测模型,该模型基于将化合物分解成碳原子碎片的组成。发现该模型可准确预测三个数量级的化合物的YSI,并提供了有关化学结构对烟灰形成影响的见解。该模型的预测失败可用于揭示更复杂的动力学烟mechanisms机制的存在。预期这项工作将能够合理设计来自多种原料的低燃料混合燃料。

著录项

  • 作者

    Das, Dhrubajyoti Devbrat.;

  • 作者单位

    Yale University.;

  • 授予单位 Yale University.;
  • 学科 Chemical engineering.;Mechanical engineering.
  • 学位 Ph.D.
  • 年度 2017
  • 页码 191 p.
  • 总页数 191
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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