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首页> 外文期刊>Energy & fuels >Sequential Modular Simulation of Hydrodynamics and Reaction Kinetics in a Biomass Bubbling Fluidized-Bed Gasifier Using Aspen Plus
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Sequential Modular Simulation of Hydrodynamics and Reaction Kinetics in a Biomass Bubbling Fluidized-Bed Gasifier Using Aspen Plus

机译:使用Aspen Plus的生物质鼓泡流化床气化炉中流体动力学和反应动力学的顺序模块化模拟

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摘要

A sequential modular simulation (SMS) approach was used to simulate hydrodynamics and detailed kinetics of a fluidized-bed biomass gasifier in Aspen Plus. The kinetics of tar cracking reactions was taken into account in the simulation. The effects of operating conditions including temperature, equivalence ratio (ER), and steam-to-biomass ratio (SBR) on the composition and the lower heating value (LHV) of the effluent gas were studied and compared with experimental data. The model predictions well agreed with the experimental data. The increase of the bed temperature significantly decreased the tar content and increased the hydrogen content of the product gas. At ER = 0.3, the increase of the temperature from 973 K to 1123 K resulted in the increase of H-2 molar concentration in the product gas from 7.6% to 11.3% and CO molar concentration from 13.1% to 17.0%. At a temperature of 1073 K, the optimum ER value was 0.3 and the increase in ER from 0.2 to up to 0.3 increased the amount of fuel gases but further increases in ER shifted the system kinetics toward the combustion regime. At 1073 K and ER = 0.3, with an increase in SBR from 0 to 1.0, H-2 and CO2 concentrations increased from 9.3% and 13.3% to 10.8% and 14.7%, respectively, and CO concentration decreased from 15.8% to 12.9%. The analysis showed the SMS model with four stages gives the most satisfactory predictions, via comparison with the experimental data.
机译:顺序模块化模拟(SMS)方法用于模拟Aspen Plus中流化床生物质气化炉的流体动力学和详细动力学。模拟中考虑了焦油裂解反应的动力学。研究了温度,当量比(ER)和蒸汽生物量比(SBR)等操作条件对废气的组成和较低发热量(LHV)的影响,并与实验数据进行了比较。模型预测与实验数据完全吻合。床温的升高显着降低了焦油含量并增加了产物气的氢含量。在ER = 0.3时,温度从973 K升高到1123 K,导致产物气中H-2摩尔浓度从7.6%增加到11.3%,CO摩尔浓度从13.1%增加到17.0%。在1073 K的温度下,最佳ER值为0.3,ER从0.2增加到最大0.3会增加燃料气体的量,但是ER的进一步增加使系统动力学趋于燃烧状态。在1073 K和ER = 0.3时,随着SBR从0增加到1.0,H-2和CO2浓度分别从9.3%和13.3%增加到10.8%和14.7%,CO浓度从15.8%减少到12.9% 。分析表明,通过与实验数据的比较,具有四个阶段的SMS模型给出了最令人满意的预测。

著录项

  • 来源
    《Energy & fuels 》 |2015年第novaadeca期| 8261-8272| 共12页
  • 作者单位

    N Carolina Agr & Tech State Univ, Dept Energy & Environm Syst, Greensboro, NC 27411 USA;

    N Carolina Agr & Tech State Univ, Dept Computat Sci & Engn, Greensboro, NC 27411 USA;

    N Carolina Agr & Tech State Univ, Dept Nat Resources & Environm Design, Greensboro, NC 27411 USA|N Carolina Agr & Tech State Univ, Dept Chem Biol & Bioengn, Greensboro, NC 27411 USA;

    N Carolina Agr & Tech State Univ, Dept Nat Resources & Environm Design, Greensboro, NC 27411 USA|N Carolina Agr & Tech State Univ, Dept Chem Biol & Bioengn, Greensboro, NC 27411 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
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