Optimization of biomass torrefaction conditions by the Gain and Loss method and regression model analysis

Optimization of biomass torrefaction conditions by the Gain and Loss method and regression model analysis

In this study, the optimal conditions for biomass torrefaction were determined by comparing the gain of energy content to the weight loss of biomass from the final products. Torrefaction experiments were performed at temperatures ranging from 220 to 280 °C using 20–80 min reaction times. Polynomial regression models ranging from the 1st to the 3rd order were used to determine a relationship between the severity factor (SF) and calorific value or weight loss. The intersection of two regression models for calorific value and weight loss was determined and assumed to be the optimized SF. The optimized SFs on each biomass ranged from 6.056 to 6.372. Optimized torrefaction conditions were determined at various reaction times of 15, 30, and 60 min. The average optimized temperature was 248.55 °C in the studied biomass when torrefaction was performed for 60 min.

Authors: Lee, S.M.; Lee, J.-W.

Topic: biomass,regression analysis

Publication Year: 2014

ISSN: 0960-8524

Source: Bioresource Technology 172: 438-443

DOI: 10.1016/j.biortech.2014.09.016

Altmetric score:


Export Citation

Related viewing

Top