Biodegradability of biomass constituents is the reason for the gap between theoretical biogas/methane yield and the maximum yield obtainable in bioconversion. The prediction of biogas/methane yields by applying thermal analysis is a relatively new development in this field. The aim of this study was to develop a bioconversion model based on thermogravimetry. Eleven substrates with a specific biogas yield within the range 104 to 572 mL_N per gram of volatile solids were subjected to thermogravimetry and a multi linear regression model was developed to predict biogas and methane yields. The optimum parameters describe biogas and methane yields with a root mean square error of 58.8 and 34.3 mL_N per gram of volatile solids respectively. The coefficient of determination for these two datasets was 0.81 and 0.84. A prediction technique based on thermogravimetric analysis appears to be a good alternative to other prediction models.

生物质成分的生物降解性是理论沼气/甲烷产量与生物转化中可获得的最大产量之间存在差距的原因。通过应用热分析预测沼气/甲烷产量是该领域的一个相对较新的发展。本研究的目的是开发一种基于热重分析的生物转化模型。_{对每克挥发性固体 104 至 572 mL N}的特定沼气产量的 11 种底物进行热重分析，并开发了多元线性回归模型来预测沼气和甲烷产量。最佳参数描述沼气和甲烷产量，均方根误差分别为 58.8 和 34.3 mL _N每克挥发性固体分别。这两个数据集的决定系数分别为 0.81 和 0.84。基于热重分析的预测技术似乎可以很好地替代其他预测模型。