Purpose of this work is to control odor emissions from a landfill plant by implementing a system for process management using advanced sensor technologies. Gaschromatography-Olfactometry/Mass Spectrometry (GC-O/MS), dynamic olfactometry and electronic noses using two different technologies (Metal Oxide Semiconductors and polymer/black carbon nano composite arrays) have been integrated. Results shows the potential of electronic noses in discriminating the sources and monitor both in-situ and in real time, the odorous emissions. An intelligent system, able to react in the critical operations of management of the plant can be developed, by implementing an intelligent network of sensors adequately trained to identify the odor emissions of any type of industrial activity. This approach has shown the full applicability of electronic noses in the process control of wastes having odor impacts.

Innovative technologies for odor control emissions in landfill

GIUNGATO, Pasquale;DE GENNARO, GIANLUIGI;
2016-01-01

Abstract

Purpose of this work is to control odor emissions from a landfill plant by implementing a system for process management using advanced sensor technologies. Gaschromatography-Olfactometry/Mass Spectrometry (GC-O/MS), dynamic olfactometry and electronic noses using two different technologies (Metal Oxide Semiconductors and polymer/black carbon nano composite arrays) have been integrated. Results shows the potential of electronic noses in discriminating the sources and monitor both in-situ and in real time, the odorous emissions. An intelligent system, able to react in the critical operations of management of the plant can be developed, by implementing an intelligent network of sensors adequately trained to identify the odor emissions of any type of industrial activity. This approach has shown the full applicability of electronic noses in the process control of wastes having odor impacts.
2016
978-88-941647-0-1
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11586/172373
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