Testing and Validation of Mobile Air Quality Monitor for Sensing and Delineating VOC Emissions

dc.contributor.advisorSantos, Rafael
dc.contributor.authorThakor, Govind Singh
dc.date.accessioned2020-05-14T19:36:43Z
dc.date.available2020-05-14T19:36:43Z
dc.date.copyright2020-05-11
dc.date.created2020-04-16
dc.date.issued2020-05-14
dc.degree.departmentSchool of Engineeringen_US
dc.degree.grantorUniversity of Guelphen_US
dc.degree.nameMaster of Applied Scienceen_US
dc.degree.programmeEngineeringen_US
dc.description.abstractThe uRAD A3 air quality monitor uses a linear model to convert the output resistance value of the metal oxide sensor into air quality index in terms of VOC (AQIVOC). To improve this representation of AQIVOC a predictive algorithm was developed to convert the resistance to concentration values and then to AQIVOC. The A3 monitor was first validated through point source emissions and comparison with an analyzer. Then it was calibrated under controlled conditions for three different types of VOCs – acetone, ethanol and hexane. Experiments were performed for each solvent and in combination to observe how each solvent interacted with metal oxide sensor to understand the relationship between the resistance and concentration through analysis. Resistance range of each solvent (acetone - 15.24 to 8.5 Kohms, ethanol - 25.73 to 13.59 Kohms, hexane - 104.25 to 43.49 Kohms) and resistance-concentration relationship served as the basis for algorithm development for predicting total concentration of VOCs and their individual compositionen_US
dc.identifier.urihttp://hdl.handle.net/10214/17941
dc.language.isoenen_US
dc.publisherUniversity of Guelphen_US
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectAir Quality Indexen_US
dc.subjectPredictive Algorithmen_US
dc.subjectMetal Oxide Sensoren_US
dc.subjectVOCsen_US
dc.subjectResistance-Concentration Relationshipen_US
dc.subjectAir Quality Monitoren_US
dc.titleTesting and Validation of Mobile Air Quality Monitor for Sensing and Delineating VOC Emissionsen_US
dc.typeThesisen_US

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TESTING AND VALIDATION OF MOBILE AIR QUALITY MONITOR FOR SENSING AND DELINEATING VOC EMISSIONS