Pyrolysis is usually modeled with nth-order or sigmoidal (nucleation or aut
ocatalytic) kinetics and with parallel reactions having distributed activat
ion energies: The underlying chemistry, however, consists of thermolytic bo
nd cleavage, recombination reactions, and volatilization of low molecular w
eight (MW) products. A new approach is based on a dynamic population-balanc
e equation for the molecular weight distribution of a pyrolyzing macromolec
ular material in a temperature-programmed thermogravimetric process. Random
chain scission, repolymerization, chain-end scission yielding gas products
, and loss of low-MW matter by vaporization are included in the model. Zero
th and first moments of the balance equation provide coupled differential e
quations for the time dependence of moles, n(t), and mass, m(t), of the sam
ple. Separate changes in n and m account for the changes in the average mol
ecular weight during pyrolysis. The activation energy for random chain scis
sion is relatively larger than that for chain-end scission or repolymerizat
ion. The model simulates observations for temperature-programmed pyrolysis,
including nth-order and acceleratory (nucleation) behavior.