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Simultaneous measurement of spatially resolved particle emissions in a pilot plant scale baghouse filter applying distributed low-cost particulate matter sensors

Bächler, P. 1; Szabadi, J. 1; Meyer, J. 1; Dittler, A. ORCID iD icon 1
1 Institut für Mechanische Verfahrenstechnik und Mechanik (MVM), Karlsruher Institut für Technologie (KIT)


Baghouse filters are widely applied in industrial gas cleaning, for example in waste incineration plants and the cement industry, to meet particle emission standards and for product recovery. The global particle emission of pulse-jet cleaned surface filters is typically monitored end of pipe (e.g. in the stack). Since the particulate matter emission of baghouse filters originates often from leaks and incorrectly installed or damaged filter bags, operators would greatly profit from online measurement technology that monitors the emission contribution of individual filter bags or at least a subset of all installed filter elements to the total emission. Low-cost particulate matter sensors can be deployed inside filter houses in larger quantities due to their compact design and low asset cost compared to conventional aerosol measurement technology. The ability of several low-cost sensors to detect the characteristic PM emission behavior of surface filters has been shown in previous investigations in a filter test rig. This study shows first results regarding the emission contribution of individual filter bags of a pilot plant scale baghouse filter employing distributed low-cost sensors of the model OPC-N3 from the manufacturer Alphasense. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000123590
Veröffentlicht am 26.09.2020
DOI: 10.1016/j.jaerosci.2020.105644
Zitationen: 7
Web of Science
Zitationen: 6
Zitationen: 8
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Mechanische Verfahrenstechnik und Mechanik (MVM)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 12.2020
Sprache Englisch
Identifikator ISSN: 0021-8502, 1879-1964
KITopen-ID: 1000123590
Erschienen in Journal of aerosol science
Verlag Elsevier
Band 150
Seiten Art. Nr.: 105644
Schlagwörter Low-cost PM-sensors, Emission measurement, Dust separation, Surface filtration, Baghouse filtration, Smart filter
Nachgewiesen in Web of Science
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