The proposed Advanced Biofiltration (mixed organic/inorganic) can be considered the Best Available Technology (BAT) to treat odorous emissions from MSW treatment plants, composting and WWTP plants among others, typically achieving final odour concentrations below 1000 uoE/m3 or 95% efficiency.
The applied sensorics includes the most relevant parameters (COVs, H2S, NH3). The integration of these parameters in the Airadvanced™ platform allows real-time monitoring of the correct functioning of the biofilter and thanks to the meteorological (WRF) and dispersion (CALPUFF) models allows the client to visualize the impact in real time and the prediction of impacts up to 72 hours.
J.Mesones*, A. Torres, I. Valor, D. Cartelle, A. Rodriguez, J.M. Vellón
Labaqua, S.A.U. Air Quality Department, Alicante, Spain. *javier.mesones@suez.com
Competing interests: The author has declared that there are no competing interests.
Academic Editor: Carlos N Díaz.
Quality of content: This article has been reviewed by at least two reviewers. See the scientific committee here
Citation: J. Mesones et. al. Air Purification Through Advanced Biofiltration And Monitoring Of The Odour Impact Of Its Emissions Through Sensorisation And Implementation Of The Airadvanced Platform, 9th IWA Odour& VOC/Air Emission Conference, Bilbao, Spain, Olores.org.
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ISBN: 978-84-09-37032-0
Keywords: biofilter, treatment, odour, monitoring, contamination, dispersion, dispersion, prediction
Abstract
The proposed Advanced Biofiltration (mixed organic/inorganic) can be considered the Best Available Technology (BAT) to treat odour emissions from MSW treatment plants, composting and water treatment plants, among others, typically achieving final odour concentrations below 1000 uoE/m3 or 95% efficiency. The applied sensorics includes the most relevant parameters (VOCs, H2S, NH3). The integration of these parameters in the Airadvanced™ platform allows real-time monitoring of the correct functioning of the biofilter and thanks to the meteorological (WRF) and dispersion (CALPUFF) models allows the client to visualise the impact in real time and the prediction of impacts up to 72 hours.
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