Abstract In terms of heat energy, woody biomass is not as effective as fossil fuels owing to its hydrophilic characteristics and low calorific value. These disadvantages can be overcome through torrefaction, a low-temperature pyrolysis method that can increase the energy density of woody biomass by increasing its carbon content ratio. However, it is difficult to increase the calorific value within a short processing time, while long processing times decrease the useful heating value. Therefore, optimal conditions need to be determined. Accordingly, this study attempted to optimize the torrefaction of woody biomass using a one-dimensional simulation analysis. Changes in the elemental contents of biomass were predicted by analyzing the mass reduction and characteristics of volatile matter emission due to torrefaction, and changes in the calorific value were derived. Comparing experiments and simulations. We estimated the calorific value and optimal conditions according to the process temperature and time (200 °C at 40 min, 230 °C at 30 min, 250 °C at 20 min). This study provides preliminary findings for the effective utilization of biomass, a material that is usually discarded.

中文翻译：

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应用生物质元素含量预测的烘焙优化模型的开发与验证

摘要 在热能方面，木质生物质具有亲水性和低热值等特点，不如化石燃料有效。这些缺点可以通过烘焙来克服，烘焙是一种低温热解方法，可以通过增加其碳含量比来增加木质生物质的能量密度。然而，在较短的加工时间内很难增加热值，而较长的加工时间会降低有用热值。因此，需要确定最佳条件。因此，本研究尝试使用一维模拟分析来优化木质生物质的烘焙。通过分析烘焙导致的质量减少和挥发物排放特征，预测生物质元素含量的变化，并推导出热值的变化。比较实验和模拟。我们根据工艺温度和时间（200 °C 40 分钟，230 °C 30 分钟，250 °C 20 分钟）估算了热值和最佳条件。这项研究为有效利用生物质提供了初步结果，生物质是一种通常被丢弃的材料。