Novel simple approaches to modeling composting kinetics

摘要: Abstract Mathematical models have been developed over the past 40 years to describe composting process, seeking ease its implementation, control, and optimization. Due complex nature of composting, ability simulate processes kinetics in a simple generalizable manner has proven be elusive, acting as significant limitation effective environmental, model-assisted, decision-making. Current are ungeneralizable, while lack simplicity, requiring information on many operating variables, such temperature, moisture content, oxygen content. The aim this work is therefore explore use novel modelling approaches produce that do not require any data, providing more accurate representation degradation than current models. Four methods assessed study, all based first-order kinetic expression. These split into three separate phases only two parameters: rate an estimation ratio between duration mesophilic thermophilic phases. were through their normalized root mean square error validated independent datasets sourced from literature, covering wide range waste types characteristics. achieved errors varying 1.13% 6.32% outperformed traditional model every case, well certain cases. Scenario analyses also demonstrated resilience proposed uncertainty.