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An investigation of the autoignition of power generation gas turbine fuel blends using a design of experiments approach.

机译:使用实验方法设计对发电燃气轮机燃料混合物自燃的研究。

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摘要

Natural gas has grown in popularity as a fuel for power generation gas turbines. However, changes in fuel composition are a topic of concern since fuel variability can have a great impact on the reliability and performance of the burner design. In particular, autoignition of the premixed fuel and air prior to entering the main burner is a potential concern when using exotic fuel blends. To obtain much-needed data in this area, autoignition experiments for a wide range of likely fuel blends containing CH4 mixed with combinations of C2H6, C3H8, C 4H10, C5H12, and H2 were performed in a high-pressure shock tube. However, testing every possible fuel blend combination and interaction was not feasible within a reasonable time and cost. Therefore, to predict the surface response over the complete mixture domain, a special experimental design was developed to significantly reduce the amount of 'trials' needed from 243 to only 41 using the Box-Behnkin factorial design methodology. Kinetics modeling was used to obtain numerical results for this matrix of fuel blends, setting the conditions at a temperature of 800 K and pressure of 17 atm. (Abstract shortened by UMI.)
机译:天然气作为发电燃气轮机的燃料已越来越普及。但是,燃料成分的变化是一个令人关注的话题,因为燃料的可变性会对燃烧器设计的可靠性和性能产生很大的影响。特别地,当使用外来燃料混合物时,预混合燃料和空气在进入主燃烧器之前的自动点火是潜在的问题。为了获得该领域急需的数据,在高压减震管中对包含CH4以及C2H6,C3H8,C 4H10,C5H12和H2的混合物的各种可能的混合燃料进行了自动点火实验。但是,在合理的时间和成本内测试每种可能的燃料混合物组合和相互作用是不可行的。因此,为了预测整个混合物域的表面响应,使用Box-Behnkin因子设计方法开发了一种特殊的实验设计,以将所需的“试验”数量从243个减少到41个。动力学建模用于获得此混合燃料矩阵的数值结果,将条件设置为800 K的温度和17 atm的压力。 (摘要由UMI缩短。)

著录项

  • 作者

    de Vries, Jaap.;

  • 作者单位

    University of Central Florida.;

  • 授予单位 University of Central Florida.;
  • 学科 Engineering Aerospace.
  • 学位 M.S.
  • 年度 2005
  • 页码 90 p.
  • 总页数 90
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 航空、航天技术的研究与探索;
  • 关键词

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