使用键解离能量的有机材料HHV预测模型的可靠性分析
Junjun Tao1, Longwei Pan1, Jiajie Yao1
1School of Materials Engineering, Changshu Institute of Technology, Changshu 215500, China.
Polymers
|October 14, 2023
概括
这项研究验证了使用键解离能量的有机材料加热值的预测模型. 碳含量显著影响准确性,而和硫的相关性可能导致纤维素材料过度装配.
科学领域:
- 物理化学 物理化学
- 热化学 热化学 热化学
- 材料科学 材料科学 材料科学
背景情况:
- 预测更高加热值 (HHV) 的预测模型对于生物质能源应用至关重要.
- 了解元素组成和热量值之间的关系对于准确的能量产量估计至关重要.
研究的目的:
- 分析有机材料较高加热值 (HHV) 的预测模型的可靠性.
- 开发和验证一个理论模型,使用键解离能 (BDE) 将元素组成与热量值相关联.
主要方法:
- 基于键解离能 (BDE) 的理论模型的开发.
- 元素组成 (C,H,O,N,S) 和热量值之间的相关性分析.
- 参数灵敏度分析以确定元素质量分数对HHV预测准确性的影响.
主要成果:
- 确定了 (-144.4 kJ mol−1),碳 (-414.30 至 -275.34 kJ mol−1) 和氧 (131.1 至 207.17 kJ mol−1) 的特定能量贡献.
- 导出了一个HHV预测的方程:HHV = -31.34·[C] - 144.44·[H] + 10.57·[O].
- 确定碳质量分数是最有影响力的参数 (92.65%的灵敏度),而N和S在线性纤维素材料中显示出低灵敏度.
结论:
- 开发的模型提供了一种可靠的方法,可以根据元素组成来预测HHV.
- 碳含量是有机材料中HHV预测精度的主要驱动因素.
- 结合N和S的纤维纤维素材料的实证模型可能容易过度装配.
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