Sustainable feedstocks such as lignocellulosic biomass and agricultural wastes can be integrated into platform chemical production systems via pyrolysis and gasification. These processes face challenges related to the use of low-quality biomass, with low energy densities and different chemical reactivities when compared to conventional fuels. Sophisticated comprehension of thermal conversion can be offered by numerical models that can: (1) be readily applied to different biomass; and (2) be implemented to describe with high accuracy and low computational-cost the time-and condition-dependant molecularity of such thermochemical processes. This study presents a systematic experimental and computational evaluation of the surrogate concept, examining the adaptation of the CRECK model for pyrolysis kinetics. A Thermal Gravimetric Analyser is used to determine the pyrolysis mass loss kinetics of a matrix of reactants, including cellulose, xylan, alkali-lignin, and Organosolv-lignin as surrogates, and Miscanthus X Giganteous and Beech wood as biomass. The CRECK kinetic model is implemented in Matlab and used to determine the deviation of the model from the experimental results. These comparisons allow for analysis of how to best describe pyrolysis kinetics of biomass to quantitative accuracy using biochemical characterisation.