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小麦颗粒燃烧过程的动力机制,使用热重力学分析仪进行分析

Bidhan Nath¹, Guangnan Chen¹, Les Bowtell²

¹School of Agriculture and Environmental Science, University of Southern Queensland, Toowoomba, QLD, 4350, Australia.

|October 12, 2023

概括

这项研究使用热重力测量分析分析了小麦颗粒燃烧情况. 基于模型的方法揭示了复杂的热力学反应,表明了生物能源原料的潜力.

科学领域:

生物质能源是生物质的能源.
热化学转换是一种热化学转换.
燃烧动力学燃烧动力学

背景情况:

小麦是一种有前途的基纤维素生物质,可用于生物能源.
了解其燃烧特性对于高效的能量转换至关重要.
颗粒化可以改善生物质的处理和燃烧性能.

研究的目的:

为了研究两个小麦草颗粒配方的燃烧特性.
为了确定其热分解的动力学和热力学参数.
评估不同动力模型对于小麦草颗粒特征的适用性.

主要方法:

热重力测量分析 (TGA) 对25至1200°C的小麦颗粒 (T1:100%小麦,T5:70%小麦含添加剂) 在空气中以20°C/分钟的加热速度进行.
使用无模型和基于模型的方法来分析TGA数据.
使用各种模型 (Cn,Fn,F2,D3) 计算了激活能量 (E) 和预指数因子 (A) 等运动参数.

主要成果:

热分解发生在四个不同的阶段,表明复杂的反应途径.
基于模型的方法被发现更适合于描述小麦草颗粒的热行为.
特定的动力模型 (Cn,Fn,F2,D3) 为实验数据提供了很好的匹配,T1和T5颗粒的平均激活能量和预指数因子变化不一.
热力学特性表明复杂的,多点平衡反应.

结论:

小麦颗粒在燃烧过程中表现出复杂的热力学行为.
该研究确定了合适的动力模型来描述分解过程.
这些发现支持小麦颗粒作为可行的生物能源原料的潜力.

关键词:

燃烧方式燃烧方式导数热重力测量分析的导数加热速度的加热速度基于模型的方法基于模型的方法热重力测量分析仪小麦草颗粒小麦草颗粒

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