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A novel CFD model to predict effluent solids concentration and pressure drop in deep bed granular filters for water treatment
Univ Ghent, Dept Data Anal & Math Modelling, BIOMATH, Coupure Links 653, B-9000 Ghent, Belgium.;Ctr Adv Proc Technol Urban Resource Recovery CAPT, Ghent, Belgium..
KTH, Skolan för arkitektur och samhällsbyggnad (ABE), Hållbar utveckling, miljövetenskap och teknik, Vatten- och miljöteknik. Department of Environmental Technology, Wageningen University and Research (WUR), Droevendaalsesteeg 4, 6708, PB, Wageningen, Netherlands. (KTH-International Groundwater Arsenic Research Group)
AM TEAM, Dendermondsesteenweg 48-1, B-9000 Ghent, Belgium.;Ctr Adv Proc Technol Urban Resource Recovery CAPT, Ghent, Belgium..
Univ Ghent, Fac Biosci Engn, Dept Green Chem & Technol, Particle & Interfacial Technol Grp,PaInT, Coupure Links 653, B-9000 Ghent, Belgium.;Ctr Adv Proc Technol Urban Resource Recovery CAPT, Ghent, Belgium..
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2022 (engelsk)Inngår i: Separation and Purification Technology, ISSN 1383-5866, E-ISSN 1873-3794, Vol. 295, artikkel-id 121232Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Rapid sand filtration is a widely used technology to remove suspended solids in drinking water and wastewater treatment plants. One of the challenges of the rapid sand filtration is to reliably predict the removal efficiency of suspended solids and pressure drop as a function of filtration time. In this study we put forward a novel CFD model to simultaneously predict the solids concentration in the effluent and hydraulic resistence build-up in rapid sand filters. The CFD model is assessed against lab scale filtration data at different filter media grain sizes and filtration velocities. Our results show an overall satisfactory agreement with the observations. Finally, we highlight the complexity and need for further work in developing general CFD models for rapid sand filtration.

sted, utgiver, år, opplag, sider
Elsevier BV , 2022. Vol. 295, artikkel-id 121232
Emneord [en]
Modelling, Solid deposition, Porosity, Concentration, Pressure drop, Rapid sand filter
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-316334DOI: 10.1016/j.seppur.2022.121232ISI: 000830827500002Scopus ID: 2-s2.0-85130617936OAI: oai:DiVA.org:kth-316334DiVA, id: diva2:1687046
Merknad

QC 20220812

Tilgjengelig fra: 2022-08-12 Laget: 2022-08-12 Sist oppdatert: 2022-08-12bibliografisk kontrollert

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Ahmad, Arslan

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