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超声辅助深共晶溶剂预处理西瓜皮生物质的高位热值、火用、热解动力学及热力学分析。

Higher heating value, exergy, pyrolysis kinetics and thermodynamic analysis of ultrasound-assisted deep eutectic solvent pretreated watermelon rind biomass.

机构信息

School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, PR China; Department of Agricultural and Food Engineering, University of Uyo, Uyo 520001, Akwa Ibom State, Nigeria.

School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, PR China.

出版信息

Bioresour Technol. 2021 Jul;332:125040. doi: 10.1016/j.biortech.2021.125040. Epub 2021 Mar 27.

DOI:10.1016/j.biortech.2021.125040
PMID:33831790
Abstract

The higher heating value (HHV) and exergy of ultrasound-assisted deep eutectic solvent pretreated watermelon rind (WMR) biomass were investigated. Thereafter, the co-pyrolysis of the WMR biomass and coal blends was studied. The pyrolysis kinetics and thermodynamic parameters of the WMR-coal blends were determined using four isoconversional models (Flynn-Wall-Ozawa, Kissinger-Akahira-Sunose, Friedman and Starink). The HHVs of the pretreated WMR ranged between 12.73 and 19.28 MJ/kg, while the exergy value for the raw and pretreated WMR were 16.08 and 21.55 MJ/kg, respectively. The lower heating value related exergy had the greatest influence on the overall exergy of the WMR. The values of the pre-exponential factor showed variations in wide range, and the change in entropy of the system displayed both negative and positive entropies. The activation energy and enthalpy varied directly with the amount of coal in the blends. Amongst the isoconversional model methods, Friedman model was the best predictor of the kinetic parameters.

摘要

研究了超声辅助深共晶溶剂预处理西瓜皮(WMR)生物质的高位热值(HHV)和火用值。此后,研究了 WMR 生物质与煤的共热解。使用四种等转化率模型(Flynn-Wall-Ozawa、Kissinger-Akahira-Sunose、Friedman 和 Starink)确定了 WMR-煤共混物的热解动力学和热力学参数。预处理 WMR 的 HHVs 在 12.73 至 19.28 MJ/kg 之间,而 raw 和预处理 WMR 的火用值分别为 16.08 和 21.55 MJ/kg。与低位热值相关的火用对 WMR 的总火用值影响最大。前指数因子的值显示出广泛的变化范围,系统熵的变化同时显示出负熵和正熵。活化能和焓随混合物中煤的量而直接变化。在等转化率模型方法中,Friedman 模型是动力学参数的最佳预测器。

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