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Experimental and Numerical Investigation on Tar Production and Recycling in Fixed Bed Biomass Gasifiers

机译:固定床生物质气化炉焦油生产与回收​​的实验与数值研究

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摘要

Bioenergy has been utilized for domestic purposes since pre-recorded history and it catches the highlight in the recent decades because it naturally benefits the world climate and energy security. Gasification is one of the key technologies to efficiently and economically convert biomass into syngas and further into biofuels. Despite these outstanding advantages, biomass gasification suffers from the formation of unfavorable byproduct tar and the consequential tar elimination. Moreover, the collected tar is toxic and thus requires storage and strict deposit method to avoid environmental pollution.;To understand the mechanisms of biomass gasification and tar production, simulations with Aspen Plus were conducted for both downdraft and updraft gasifiers, which are presented in the Paper I and II, respectively. The kinetic models are implanted with reaction kinetics to ensure their ability to approximate the tar production, which are superior to the widely used Gibbs Energy Minimization model for predicting syngas compositions. Paper III focuses on the investigation of the impact of tar recycling on syngas compositions under various operating conditions including different reactor scales (4", 8", 12"), different biomass feedstocks (pellets, picks, and flakes) and different equivalence ratios (0.15, 0.20, 0.25).
机译:自从预先记录的历史以来,生物能源就一直用于家庭用途,由于它自然有益于世界气候和能源安全,因此在近几十年来备受关注。气化是有效和经济地将生物质转化为合成气并进一步转化为生物燃料的关键技术之一。尽管具有这些突出的优点,但是生物质气化仍遭受不利的副产物焦油的形成和相应的焦油消除的困扰。此外,收集到的焦油是有毒的,因此需要使用储存和严格的沉积方法来避免对环境的污染。为了了解生物质气化和焦油生产的机理,使用Aspen Plus对上下气化气化炉进行了模拟,这些实验在本报告中进行了介绍。论文一和二。动力学模型中植入了反应动力学,以确保其逼近焦油生成的能力,这优于广泛使用的吉布斯能量最小化模型来预测合成气的组成。论文III重点研究了焦油回收对各种操作条件下合成气成分的影响,这些条件包括不同的反应器规模(4“,8”,12“),不同的生物质原料(小球,碎屑和薄片)和不同的当量比( 0.15、0.20、0.25)。

著录项

  • 作者

    Yu, Jia.;

  • 作者单位

    Missouri University of Science and Technology.;

  • 授予单位 Missouri University of Science and Technology.;
  • 学科 Energy.;Chemical engineering.
  • 学位 Ph.D.
  • 年度 2018
  • 页码 157 p.
  • 总页数 157
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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