Modelling the anaerobic digestion of solid organic waste – Substrate characterisation method for ADM1 using a combined biochemical and kinetic parameter estimation approach

摘要

This work proposes a novel and rigorous substrate characterisation methodology to be used with ADM1udto simulate the anaerobic digestion of solid organic waste. The proposed method uses data from bothuddirect substrate analysis and the methane production from laboratory scale anaerobic digestion experimentsudand involves assessment of four substrate fractionation models. The models partition the organicudmatter into a mixture of particulate and soluble fractions with the decision on the most suitable modeludbeing made on quality of fit between experimental and simulated data and the uncertainty of theudcalibrated parameters. The method was tested using samples of domestic green and food waste and usingudexperimental data from both short batch tests and longer semi-continuous trials. The results showed thatudin general an increased fractionation model complexity led to better fit but with increased uncertainty.udWhen using batch test data the most suitable model for green waste included one particulate and oneudsoluble fraction, whereas for food waste two particulate fractions were needed. With richer semicontinuousuddatasets, the parameter estimation resulted in less uncertainty therefore allowing theuddescription of the substrate with a more complex model. The resulting substrate characterisations andudfractionation models obtained from batch test data, for both waste samples, were used to validate theudmethod using semi-continuous experimental data and showed good prediction of methane production,udbiogas composition, total and volatile solids, ammonia and alkalinity.