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Title: TOWARDS LOW-CARBON EMISSION BIOTRICKLING FILTRATION OF VOLATILE ORGANIC COMPOUNDS FROM AIR: AN ARTIFICIAL NEURAL NETWORK APPROACH
TOWARDS LOW-CARBON EMISSION BIOTRICKLING FILTRATION OF VOLATILE ORGANIC COMPOUNDS FROM AIR: AN ARTIFICIAL NEURAL NETWORK APPROACH

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Gabriela Soreanu; Igor Cretescu; Elena Niculina Dragoi; Doina Lutic; Florin Leon
10.5593/sgem2022/4.1/s19.55
10.5593/sgem2022/4.1
1314-2704
978-619-7603-44-6
English
22
4.1
•    Prof. DSc. Oleksandr Trofymchuk, UKRAINE 
•    Prof. Dr. hab. oec. Baiba Rivza, LATVIA
Air Pollution and Climate Change
In this study, a classical biotrickling filter (based on compost microorganisms) and an upgraded biotrickling filter (based on a mixture of compost microorganisms and microalgae Arthrospira platensis PCC 8005) are evaluated in terms of carbon dioxide production, during their use for volatile organic compounds (VOCs) removal from air. The experiments were performed using acetic acid vapors as model VOC and the biotrickling filter (BTF) performance was observed at different VOC concentrations, gas flowrates and pH values. Although the removal of acetic acid vapors was maximum for the both biosystems, the carbon dioxide production was different. The influence of the microorganisms’ types and of the operating parameters on the carbon dioxide production are correlated via artificial neural network algorithms, depicting the most favorable conditions towards a low-carbon emission biotrickling filtration process for VOCs removal from air.
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This work was supported by a grant of the Ministry of Research, Innovation and Digitization, CNCS/CCCDI – UEFISCDI, project number 301PED/2020, within PNCDI III.
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https://doi.org/10.5593/sgem2022/4.1/s19.55
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Proceedings of 22nd International Multidisciplinary Scientific GeoConference SGEM 2022
22nd International Multidisciplinary Scientific GeoConference SGEM 2022, 04 - 10 July, 2022
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference SGEM
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Turkish Acad Sci.
429-436
04 - 10 July, 2022
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biotrickling filter, microalgae, microorganisms, carbon capture, artificial neural network