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Optimization of process parameters for torrefaction of Acacia nilotica using response surface methodology and characteristics of torrefied biomass as upgraded fuel

机译:利用响应面法和以焙烤生物质作为提质燃料的特征,优化刺槐相思的工艺参数

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The process parameters (temperature, residence time and heating rate) for torrefaction of Acacia nilotica in a fixed-bed reactor were optimized using response surface methodology. Maximum higher heating value and energy yield, both at the same time, were obtained at 252 degrees C, 60 min residence time, and 5 degrees C/min heating rate. Both the parameters were highly influenced by temperature; whereas residence time and heating rate had minimal impact. The torrefied biomass obtained at optimum condition was characterized by proximate and ultimate analysis, thermogravimetric analysis, Fourier transform infrared spectroscopy and scanning electron microscopy. Moisture content, 1-1/C ratio and O/C ratio decreased by 73.23, 52.94, and 46.22%, respectively; while fixed carbon and higher heating value increased by 75.54 and 18.62%, respectively, as compared to raw biomass. Fuel properties such as fuel ratio increased by 87.39%, while combustibility index and volatile ignitability decreased by 83.32 and 22.71%, respectively. Flow properties such as angle of repose, Hausner ratio, Carr compressibility index and cohesion coefficient decreased by 8.04, 6.20, 22.48 and 12.5%, respectively. Enhanced fuel and flow properties make torrefied biomass a suitable feedstock for pyrolysis and gasification and optimization of this process may facilitate scale-up and reduce operational cost. (C) 2019 Elsevier Ltd. All rights reserved.
机译:使用响应表面方法优化了固定相反应器中刺槐金合欢的工艺参数(温度,停留时间和加热速率)。在252摄氏度,60分钟停留时间和5摄氏度/分钟的加热速率下,同时获得了最高的最高发热量和能量产出。这两个参数都受温度的影响很大。而停留时间和加热速率的影响最小。通过接近和最终分析,热重分析,傅立叶变换红外光谱和扫描电子显微镜对在最佳条件下获得的焙烤生物质进行了表征。水分,1-1 / C比和O / C比分别降低了73.23、52.94和46.22%;固定碳和较高的热值分别比原始生物质增加了75.54%和18.62%。燃料特性(例如燃料比)增加了87.39%,而可燃性指数和挥发性可燃性分别下降了83.32和22.71%。休止角,豪斯纳比,卡尔压缩系数和内聚系数等流动特性分别降低了8.04、6.20、22.48和12.5%。增强的燃料和流动特性使焙炒的生物质成为热解和气化的合适原料,此过程的优化可以促进规模扩大并降低运营成本。 (C)2019 Elsevier Ltd.保留所有权利。

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