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Greenhouse gases from wastewater treatment — A review of modelling tools

Authors :
Manel Garrido-Baserba
Alida Cosenza
Donatella Caniani
Riccardo Gori
Diego Rosso
Gustaf Olsson
Giorgio Mannina
Giovanni Esposito
G. A. Ekama
Mannina, G.
Ekama, G.
Caniani, D.
Cosenza, A.
Esposito, G.
Gori, R.
Garrido-Baserba, M.
Rosso, D.
Olsson, G.
Mannina, Giorgio
Ekama, George
Caniani, Donatella
Cosenza, Alida
Esposito, Giovanni
Gori, Riccardo
Garrido-Baserba, Manel
Rosso, Diego
Olsson, Gustaf
Source :
Science of The Total Environment. :254-270
Publication Year :
2016
Publisher :
Elsevier BV, 2016.

Abstract

Nitrous oxide, carbon dioxide and methane are greenhouse gases (GHG) emitted from wastewater treatment that contribute to its carbon footprint. As a result of the increasing awareness of GHG emissions from wastewater treatment plants (WWTPs), new modelling, design, and operational tools have been developed to address and reduce GHG emissions at the plant-wide scale and beyond. This paper reviews the state-of-the-art and the recently developed tools used to understand and manage GHG emissions from WWTPs, and discusses open problems and research gaps. The literature review reveals that knowledge on the processes related to N2O formation, especially due to autotrophic biomass, is still incomplete. The literature review shows also that a plant-wide modelling approach that includes GHG is the best option for the understanding how to reduce the carbon footprint of WWTPs. Indeed, several studies have confirmed that a wide vision of the WWPTs has to be considered in order to make them more sustainable as possible. Mechanistic dynamic models were demonstrated as the most comprehensive and reliable tools for GHG assessment. Very few plant-wide GHG modelling studies have been applied to real WWTPs due to the huge difficulties related to data availability and the model complexity. For further improvement in GHG plant-wide modelling and to favour its use at large real scale, knowledge of the mechanisms involved in GHG formation and release, and data acquisition must be enhanced.

Details

ISSN :
00489697
Database :
OpenAIRE
Journal :
Science of The Total Environment
Accession number :
edsair.doi.dedup.....ed4fd60e3ccdcda300cfdbfcea31b777