Biomass pyrolysis is a thermochemical
conversion process that undergoes
a complex set of concurrent and competitive reactions in oxygen-depleted
conditions. A considerable amount of the literature uses lumped kinetic
approaches to predict pyrolysis products. Despite the prolonged studies,
the science of pyrolysis chemistry and models’ capability to
simulate the exact conversion phenomenon has unraveled yet. In this
review, an initiative was made by compiling existing mathematical
models for biomass pyrolysis viz., lumped and distributed kinetic
models, particle, and reactor models. An absolute analysis of computational
fluid dynamics (CFD), artificial neural network (ANN), and ASPEN Plus
models was also conducted. It was observed that the coupling of distributed
kinetic models with CFD provides a better understanding of the hydrodynamic
reaction of particles under reactive flow with the influence on reactor
performance and predicts exact product yield. Furthermore, the pros
and cons of each modeling technique are also highlighted individually.
Finally, considering the future perspective of biomass pyrolysis with
respect to the modeling approach, suggestions have been incorporated.