Thermogravimetric substrate analysis for prediction of biogas and methane yields

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 mLN 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 mLN 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.

Automated summary

Thermal analysis can predict biogas/methane yields and the biodegradability of biomass affects these yields. This study developed a bioconversion model based on thermogravimetry and used a regression model to predict biogas and methane yields for different substrates. The results showed that this prediction technique has good accuracy and can be an alternative to other models.