6533b873fe1ef96bd12d5796

RESEARCH PRODUCT

Greenhouse gases from membrane bioreactors: Mathematical modelling, sensitivity and uncertainty analysis

Giorgio ManninaAlida CosenzaGeorge A. Ekama

subject

Environmental EngineeringNitrogen0208 environmental biotechnologyNitrous OxideBioengineering02 engineering and technologyWastewater010501 environmental sciences01 natural sciencesModellingchemistry.chemical_compoundBioreactorsBioreactorGreenhouse gaseWaste Management and DisposalUncertainty analysis0105 earth and related environmental sciencesSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleRenewable Energy Sustainability and the EnvironmentMembraneUncertaintyEnvironmental engineeringGeneral MedicineNitrous oxide020801 environmental engineeringPilot plantWastewaterchemistryGreenhouse gases; Membrane; Modelling; Uncertainty; Wastewater; Bioengineering; Environmental EngineeringGreenhouse gasCarbon dioxideEnvironmental scienceGasesSaturation (chemistry)

description

In this study a new mathematical model to quantify greenhouse gas emissions (namely, carbon dioxide and nitrous oxide) from membrane bioreactors (MBRs) is presented. The model has been adopted to predict the key processes of a pilot plant with pre-denitrification MBR scheme, filled with domestic and saline wastewater. The model was calibrated by adopting an advanced protocol based on an extensive dataset. In terms of nitrous oxide, the results show that an important role is played by the half saturation coefficients related to nitrogen removal processes and the model factors affecting the oxygen transfer rate in the aerobic and MBR tanks. Uncertainty analysis showed that for the gaseous model outputs 88–93% of the measured data lays inside the confidence bands showing an accurate model prediction.

https://doi.org/10.1016/j.biortech.2017.05.018