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RSM optimization of microwave pyrolysis parameters to produce OPS char with high yield and large BET surface area

机译:RSM优化微波热解参数,产生高产率和大的BET表面积的OPS焦点

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摘要

Microwave pyrolysis is a very effective technique to convert organic waste into energy rich products. In the present work micro porous and carbonaceous OPS char was synthesized by microwave pyrolysis technique. OPS char yield and its BET surface area was investigated as a function of process parameters to make the microwave pyrolysis of OPS more efficient. Both of these quantities were found to be affected by the process parameters. With the rise in microwave power (MWP) and radiation time (RT), OPS char yield was lowered while increase N-2 flow rate (NFR) increased the OPS char yield slightly. Extreme values of either of the process parameter was seen to lower the BET surface area of OPS char. Response Surface Methodology (RSM), was used to optimize the process parameters for maximized OPS char yield and its BET surface area. Regression models for the OPS char yield and its BET surface area were also developed in this study. These regression models were having high Fischer test value & lower p-value which ensure its reliability and applicability. ANOVA analysis of the experimental data provided the process parameters to achieve maximized OPS char yield (60.93%) and BET surface area (250.03 m(2)/g). The predicted results were validated and it was found that the experimental data varied only by 5.99% in yield and 6.34% in BET surface area from the predicted values.
机译:微波热解是一种将有机废物转化为能量富含产品的非常有效的技术。在本工作中,通过微波热解技术合成微多孔和碳质OPS焦炭。作为工艺参数的函数研究了OPS Char产量及其BET表面积,以使OPS微波热解更有效。发现这两种数量都受到过程参数的影响。随着微波功率(MWP)和辐射时间(RT)的增加,OPS CHAR产量降低,同时增加N-2流速(NFR)略微增加OPS CHAR收益率。观察到任何一个过程参数的极值,以降低OPS Char的BET表面积。响应表面方法(RSM)用于优化最大化的OPS CHAR产量及其BET表面积的过程参数。该研究还开发了OPS炭产量及其BET表面积的回归模型。这些回归模型具有高Fischer测试值和更低的P值,可确保其可靠性和适用性。 ANOVA分析实验数据提供了过程参数,以实现最大化的OPS炭炭(60.93%)和BET表面积(250.03m(2)/ g)。验证了预测结果,发现实验数据在预测值中仅在BET表面积中产生5.99%,并且在BET表面积中为6.34%。

著录项

  • 来源
    《Fuel》 |2020年第1期|118184.1-118184.11|共11页
  • 作者单位

    Jaypee Inst Informat Technol Dept Phys & Mat Sci & Engn A-10 Sect 62 Noida 201309 India|Univ Malaya Fac Engn Dept Mech Engn Kuala Lumpur 50603 Malaysia;

    Jaypee Inst Informat Technol Dept Phys & Mat Sci & Engn A-10 Sect 62 Noida 201309 India;

    Curtin Univ Technol Fac Engn & Sci Dept Chem Engn Sarawak 98009 Malaysia;

    Univ Stuttgart Fac Chem Inst Chem Technol D-70550 Stuttgart Germany|South Ural State Univ Chelyabinsk Russia;

    Univ Malaya Fac Engn Dept Mech Engn Kuala Lumpur 50603 Malaysia;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Biomass; Microwave pyrolysis; Optimization; Process parameters; RSM;

    机译:生物质;微波热解;优化;过程参数;RSM;

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