Application of validated mathematical model of composting process for study the effect of air flow rate on process performance

Abstract

The objectives of this study were to develop and validate the mathematical
model (kinetic and reactor model) of composting process, as well to used
validated model in order investigate the effects of the air flow rate on organic
matter conversion, carbon dioxide concentration and mixture temperature. The
mathematical model incorporated two microbial populations that metabolized
composting material which was split into two different fractions according to its
degradability (easily-degradable and hardly-degradable). Comparisons of
simulation and experimental results for five dynamic state variables
demonstrated that the model has very good predictions of the composting
process. Simulations with validated model showed that among three dynamic
state variables (organic matter conversion, carbon dioxide concentration,
mixture temperature), carbon dioxide concentration is the most sensitive while
organic matter conversion is the least sensitive to the change of air flow rate.