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

机译:利用损益法和回归模型分析优化生物质焙烧条件

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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 °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 °C in the studied biomass when torrefaction was performed for 60 min.
机译:在这项研究中,通过比较能量含量的增加与最终产品中生物质的重量损失,确定了生物质焙烧的最佳条件。在220至280°C的温度下进行烘烤实验,反应时间为20-80分钟。使用从1阶到3阶的多项式回归模型来确定严重性因子(SF)与热值或体重减轻之间的关系。确定了两个用于发热量和体重减轻的回归模型的交集,并将其作为优化的SF。每个生物质的最优化SF范围为6.056至6.372。在15、30和60分钟的各种反应时间下确定了最佳的烘焙条件。当进行烘焙60分钟时,所研究生物质的平均最优化温度为248.55°C。

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