Abstract
A proximate analysis by using multiple linear regressions was used for the first time to analyze torrefied Pinus taeda L. pellets. The result, obtained from three fitted equations: HHV = 0.3921 × FC + 0.1578 × VM (statistical R2 = 99.91%), FC = 39.4886 – 0.1042×T – 0.5640×t + 0.0027×(T × t) (statistical R2 = 75.05%), and VM = 0.3402×T + 1.4262×t – 0.0061×(T × t) (statistical R2 = 99.75%), indicated that the torrefaction of the pellets increased their high heating value (HHV) and fixed carbon (FC) and decreased the volatile matters (VM). These equations fitted the results better than equations published elsewhere.