水热液化生物产品的基于元素的预测建模,这些生物产品来自玉米炉
Isamu Umeda1, Meicen Liu2, Yi Zheng2
1Department of Civil and Environmental Engineering, Old Dominion University, Norfolk, Virginia 23529, United States.
概括
一个新的基于元素的动力模型准确地预测了水热液化 (HTL) 产品的产量和玉米炉生物质的特征. 该模型支持优化HTL用于生物油和固体残渣生产,而无需事先干燥.
科学领域:
- 生物质转换生物质转换
- 化学工程是化学工程的重要组成部分.
- 可再生能源可再生能源是可再生能源.
背景情况:
- 水热液化 (HTL) 通过消除生物质干燥,提供了比热解更好的能源效益. 同时预测HTL产品的产量和特征仍然是一个挑战.
- 精确的建模对于优化HTL过程和了解生物质转化途径至关重要.
研究的目的:
- 开发一种基于新元素的动力模型,用于预测水热液化产品产量和燃料特性.
- 为了验证模型使用实验数据从玉米炉 HTL.验证模型.
- 调查操作参数对产品分布和成分的影响.
主要方法:
- 开发了一个基于元素的动力模型,包括温度,停留时间,固体负荷和元素组成 (C,H,N,O).
- 对玉米进行了HTL实验,温度 (250350°C) 和停留时间 (560分钟).
- 分析了固体和液体产品的元素组成和灰含量;使用MATLAB进行模型预测和数据分析.
主要成果:
- 该模型准确地预测了固体残留物和重型生物油的产量,更高的加热值和燃料特性.
- 固体残留物的预测燃料特性与范克列伦图上的观察数据保持一致.
- 预测的重型生物油的H/C原子比与实验数据相匹配;功率函数关系确定了具有不同固体负载的非线性行为.
结论:
- 基于元素的动力模型为预测生物质HTL产品结果提供了强大的理论框架.
- 该模型预测产量和特征的能力有助于优化生物燃料生产的HTL.
- 了解固体装载和产品分量之间的非线性关系可以提高过程控制和效率.
相关概念视频
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