Towards an online mitigation strategy for N2 O emissions through principal components analysis and clustering techniques

Journal of Environmental Management
Giacomo BellandiIngmar Nopens

Abstract

Emission of N2O represents an increasing concern in wastewater treatment, in particular for its large contribution to the plant's carbon footprint (CFP). In view of the potential introduction of more stringent regulations regarding wastewater treatment plants' CFP, there is a growing need for advanced monitoring with online implementation of mitigation strategies for N2O emissions. Mechanistic kinetic modelling in full-scale applications, are often represented by a very detailed representation of the biological mechanisms resulting in an elevated uncertainty on the many parameters used while limited by a poor representation of hydrodynamics. This is particularly true for current N2O kinetic models. In this paper, a possible full-scale implementation of a data mining approach linking plant-specific dynamics to N2O production is proposed. A data mining approach was tested on full-scale data along with different clustering techniques to identify process criticalities. The algorithm was designed to provide an applicable solution for full-scale plants' control logics aimed at online N2O emission mitigation. Results show the ability of the algorithm to isolate specific N2O emission pathways, and highlight possible solutions towards e...Continue Reading

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Citations

May 30, 2020·International Journal of Environmental Research and Public Health·Miriam AndrejiováDaniela Marasová
Jan 13, 2021·Environmental Science & Technology·Soonho HwangboGürkan Sin
Mar 23, 2021·The Science of the Total Environment·Nerea Uri-CarreñoXavier Flores-Alsina
Sep 28, 2021·Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences·Euan G NisbetNicola J Warwick

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