This work intends to explain mathematically the model dependence of the activation energy, E
a, derived
from fitting nonisothermal kinetic data to a kinetic model. Artificial data following single reaction mechanisms,
both isothermal and nonisothermal, were generated to fit exactly the following simulated kinetic models:
first-order reaction, fourth-order Avrami−Erofeyev process, and one-dimensional diffusion. To simulate more
closely experimental data, random errors, corresponding to ±0.1% of the maximum conversion value, were
embedded in the data by adding a random number bounded by ±0.001 to each data point. For isothermal
data, any kinetic model leads to the correct value of E
a. However, for nonisothermal data, the calculated E
a
deviates from the correct value by an amount, ΔE
a, that depends strongly on the kinetic model to which the
data are fit. In addition, the apparent frequency factor depends slightly on the kinetic model for isothermal
data, but depends strongly on the model for nonisothermal data. The results highlight the severe limitations
of fitting nonisothermal data to kinetic models.