Aerosol processes are often model using the population balance equation (PBE). This article
presents a study on the simulation of particle size distribution during nanoparticle growth with
simultaneous chemical reaction, nucleation, condensation and coagulation. The method used to
reduce the population balance model is the method of moments. Under the assumption of lognormal
aerosol size distribution, the method of moments was employed to reduce the original model
into a set of first-order ODE’s (ordinary differential equations) that accurately reproduce important
dynamics of aerosol process. The objective of this study is to investigate if we can use the reduced
population balance model for the control of nanoparticle size distribution and to investigate the process
model sensitivity to the influence of disturbance. And subsequently use the model to control
particle size distribution. The numerical result shows there is a dependence of the average particle
diameter on the wall temperatures and disturbance has great influence on process model. The process
model was used as a basis to synthesize a feedback controller where manipulated variable is
the wall temperature of the reactor and the control variable the aerosol size distribution at the outlet
of the reacto
