The production and emissions of nitrous oxide (N2O), one of the main chemical compounds leading to ozone layer depletion and a significant greenhouse gas with a global warming effect 265 times stronger than CO2, significantly increase the carbon footprint of wastewater treatment plants (WWTPs). Currently, the development of technological solutions to decrease N2O emissions is impaired, due to the lack of a solid fundamental understanding of the rather complex N2O production pathways. Moreover, a reliable simulation tool capable of accurately predicting N2O emissions is not available to generate and test novel ideas and customized solutions for WWTPs to mitigate carbon footprint.
This project aims to put together a database of full-scale N2O emissions from different WWTPs and develop a unified N2O model able to predict the multiple N2O production pathways. The unified N2O model will then be incorporated to issue a new plant-wide model, which will be implemented to optimize plant design for minimum carbon footprint. Through applying data-based and model-based analyses, carbon footprint mitigation strategies will be proposed for WWTPs of different process configurations. The developed control strategies will be implemented at full scale to evaluate their applicability in directing the operation of real WWTPs.