Optimization of biomass torrefaction conditions by the Gain and Loss method and regression model analysis

Optimization of biomass torrefaction conditions by the Gain and Loss method and regression model analysis
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DOI:
10.1016/j.biortech.2014.09.016
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发表时间:
2014-11-01
影响因子:
11.4
通讯作者:
Lee, Jae-Won
Lee, Jae-Won
中科院分区:
工程技术1区
文献类型:
--
作者:
Lee, Soo Min;Lee, Jae-Won

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在本研究中,生物质热解的最佳条件是通过比较最终产品中生物质的能量含量增加和重量损失来确定的。托瑞化实验在220-280摄氏度的温度下进行,反应时间为20-80分钟。采用从一阶到三阶的多项式回归模型来确定严重程度因子(SF)与热值或体重减轻之间的关系。确定了热值和失重率两个回归模型的交点,并假定为最优SF。每种生物量的最优SFS在6.056~6.372之间。在15、30和60min的不同反应时间下,确定了最佳的烘干条件。当加热60min时,所研究的生物质的平均最佳温度为248.55℃。(C)2014爱思唯尔有限公司。保留所有权利。
In this study, the optimal conditions for biomass torrefaction were determined by comparing the gain of energy content to the weight loss of biomass from the final products. Torrefaction experiments were performed at temperatures ranging from 220 to 280 degrees C using 20-80 min reaction times. Polynomial regression models ranging from the 1st to the 3rd order were used to determine a relationship between the severity factor (SF) and calorific value or weight loss. The intersection of two regression models for calorific value and weight loss was determined and assumed to be the optimized SF. The optimized SFs on each biomass ranged from 6.056 to 6.372. Optimized torrefaction conditions were determined at various reaction times of 15, 30, and 60 min. The average optimized temperature was 248.55 degrees C in the studied biomass when torrefaction was performed for 60 min. (C) 2014 Elsevier Ltd. All rights reserved.