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A mechanistic investigation of ash deposition in pulverized-coal and biomass combustion.

机译:粉煤和生物质燃烧中灰分沉积的机理研究。

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This investigation details the effects of fuel constituents on ash deposition through systematic experimental and theoretical analyses of fundamental particle experiments and a suite of fuels with widely varying inorganic contents and compositions. The experiments were carried out in the Multifuel Flow Reactor (MFR) at Brigham Young University. Fuels included several biomass fuels (straw, sawdust and mixtures of straw-sawdust with other additives such as Al(OH) 3, CaCO3, etc.) and four commercially-used coals (Illinois;In deposition investigation, the most significant deposition mechanisms in a general ash deposition model - inertial impaction, condensation and eddy impaction - were selected. In this PhD work, these three mechanisms are analyzed using simulation techniques such as Fluent and programming languages such as C++. The experimental data was collected for deposition rate measurements to provide a data set for the model validations except for eddy impaction. In this model analyses, the impaction efficiency model predictions from this work indicated lower impaction efficiencies than the traditional potential flow model presented by others (Israel 1983). The experimental data by others (Lokare 2003) and the data collected in this work support these predictions and present a new impaction efficiency correlation as a function of Stokes number. Similarly, the capture and condensation models perform well and are supported by the respective experimental data. The comprehensive ash deposition model predicts ash deposition rates within 10% of experimental data and is able to distinguish the role of various additives in recipe fuels combustion. As an additional results, NOx behavior of Illinois
机译:这项研究通过对基本粒子实验以及一系列无机物含量和组成变化很大的燃料进行系统的实验和理论分析,详细说明了燃料成分对灰分沉积的影响。实验在杨百翰大学的多燃料流反应器(MFR)中进行。燃料包括几种生物质燃料(秸秆,锯末以及秸秆-木屑与其他添加剂(例如Al(OH)3,CaCO3等)的混合物)和四种商用煤(伊利诺伊州);在沉积研究中,最重要的沉积机理是在一般的灰渣沉积模型中,选择了惯性碰撞,凝结和涡流碰撞模型,在此博士学位论文中,使用Fluent等模拟技术和C ++等编程语言对这三种机理进行了分析,并收集了实验数据用于沉积速率测量,为模型验证提供了一个数据集,但涡流冲击除外。在该模型分析中,这项工作的冲击效率模型预测表明,其冲击效率要比其他人提出的传统潜在流量模型(以色列,1983年)低。 Lokare 2003)和这项工作中收集的数据支持了这些预测,并以有趣的方式提出了一种新的撞击效率相关性。斯托克斯数的作用。同样,捕集和冷凝模型运行良好,并得到相应实验数据的支持。全面的灰分沉积模型预测灰分沉积率在实验数据的10%以内,并且能够区分各种添加剂在配方燃料燃烧中的作用。此外,伊利诺伊州的NOx行为

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