In this study two mathematical models (Model I and Model II), able to predict the nitrous oxide (N2O) and carbon dioxide (CO2) emission from an University Cape Town (UCT) – membrane bioreactor (MBR) plant, have been compared. Model I considers the N2O production only during the denitrification. Model II takes into account the two ammonia-oxidizing bacteria (AOB) formation pathways for N2O. Both models were calibrated adopting real data. Results highlight that Model II had a better capability of reproducing the measured data especially in terms of N2O model outputs. Indeed, the average efficiency related to the N2O model outputs was equal to 0.3 and 0.38 for Model I and Model II respectively.

Mannina, G., Cosenza, A. (2017). Comparison of Two Mathematical Models for Greenhouse Gas Emission from Membrane Bioreactors. In G. Mannina (a cura di), Frontiers in Wastewater Treatment and Modelling FICWTM2017 (pp. 662-667). Springer [10.1007/978-3-319-58421-8_104].

Comparison of Two Mathematical Models for Greenhouse Gas Emission from Membrane Bioreactors

MANNINA, Giorgio;COSENZA, Alida
2017-01-01

Abstract

In this study two mathematical models (Model I and Model II), able to predict the nitrous oxide (N2O) and carbon dioxide (CO2) emission from an University Cape Town (UCT) – membrane bioreactor (MBR) plant, have been compared. Model I considers the N2O production only during the denitrification. Model II takes into account the two ammonia-oxidizing bacteria (AOB) formation pathways for N2O. Both models were calibrated adopting real data. Results highlight that Model II had a better capability of reproducing the measured data especially in terms of N2O model outputs. Indeed, the average efficiency related to the N2O model outputs was equal to 0.3 and 0.38 for Model I and Model II respectively.
2017
Settore ICAR/03 - Ingegneria Sanitaria-Ambientale
Mannina, G., Cosenza, A. (2017). Comparison of Two Mathematical Models for Greenhouse Gas Emission from Membrane Bioreactors. In G. Mannina (a cura di), Frontiers in Wastewater Treatment and Modelling FICWTM2017 (pp. 662-667). Springer [10.1007/978-3-319-58421-8_104].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/239680
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