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Wet scrubbing of biomass producer gas tars using vegetable oil.

机译:使用植物油湿法洗涤生物质生产气焦油。

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摘要

The overall aims of this research study were to generate novel design data and to develop an equilibrium stage-based thermodynamic model of a vegetable oil based wet scrubbing system for the removal of model tar compounds (benzene, toluene and ethylbenzene) found in biomass producer gas. The specific objectives were to design, fabricate and evaluate a vegetable oil based wet scrubbing system and to optimize the design and operating variables; i.e., packed bed height, vegetable oil type, solvent temperature, and solvent flow rate. The experimental wet packed bed scrubbing system includes a liquid distributor specifically designed to distribute a high viscous vegetable oil uniformly and a mixing section, which was designed to generate a desired concentration of tar compounds in a simulated air stream. A method and calibration protocol of gas chromatography/mass spectroscopy was developed to quantify tar compounds. Experimental data were analyzed statistically using analysis of variance (ANOVA) procedure. Statistical analysis showed that both soybean and canola oils are potential solvents, providing comparable removal efficiency of tar compounds. The experimental height equivalent to a theoretical plate (HETP) was determined as 0.11 m for vegetable oil based scrubbing system. Packed bed height and solvent temperature had highly significant effect (p0.05) effect on the removal of model tar compounds. The packing specific constants, Ch and CP,0, for the Billet and Schultes pressure drop correlation were determined as 2.52 and 2.93, respectively. The equilibrium stage based thermodynamic model predicted the removal efficiency of model tar compounds in the range of 1-6%, 1-4% and 1-2% of experimental data for benzene, toluene and ethylbenzene, respectively, for the solvent temperature of 30° C. The NRTL-PR property model and UNIFAC for estimating binary interaction parameters are recommended for modeling absorption of tar compounds in vegetable oils. Bench scale experimental data from the wet scrubbing system would be useful in the design and operation of a pilot scale vegetable oil based system. The process model, validated using experimental data, would be a key design tool for the design and optimization of a pilot scale vegetable oil based system.
机译:这项研究的总体目标是生成新颖的设计数据,并开发基于平衡阶段的基于植物油的湿法洗涤系统的热力学模型,以去除生物质生产气中发现的模型焦油化合物(苯,甲苯和乙苯)。 。具体目标是设计,制造和评估基于植物油的湿式洗涤系统,并优化设计和操作变量;即填充床高度,植物油类型,溶剂温度和溶剂流速。实验性湿式填充床洗涤系统包括专门设计用于均匀分配高粘性植物油的液体分配器和混合部分,该混合部分设计为在模拟气流中产生所需浓度的焦油化合物。气相色谱/质谱的方法和校准协议被开发来量化焦油化合物。使用方差分析(ANOVA)程序对实验数据进行统计分析。统计分析表明,大豆油和低芥酸菜子油都是潜在的溶剂,可提供与焦油化合物相当的去除效率。对于植物油基洗涤系统,相当于理论塔板(HETP)的实验高度确定为0.11 m。填料床高度和溶剂温度对模型焦油化合物的去除具有非常显着的影响(p0.05)。坯料和舒尔特压降相关性的填充比常数Ch和CP,0分别确定为2.52和2.93。基于平衡阶段的热力学模型预测,当溶剂温度为30时,模型焦油化合物的去除效率分别为苯,甲苯和乙苯的实验数据的1-6%,1-4%和1-2%。推荐使用NRTL-PR特性模型和UNIFAC估算二元相互作用参数来模拟植物油中焦油化合物的吸收。来自湿式洗涤系统的基准规模实验数据将在中试规模的基于植物油的系统的设计和操作中有用。使用实验数据验证的过程模型将是用于中试规模植物油基系统的设计和优化的关键设计工具。

著录项

  • 作者

    Bhoi, Prakashbhai Ramabhai.;

  • 作者单位

    Oklahoma State University.;

  • 授予单位 Oklahoma State University.;
  • 学科 Engineering Agricultural.;Energy.;Engineering Chemical.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 167 p.
  • 总页数 167
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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