kth.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
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, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering, Water and Environmental Engineering. 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..
Show others and affiliations
2022 (English)In: Separation and Purification Technology, ISSN 1383-5866, E-ISSN 1873-3794, Vol. 295, article id 121232Article in journal (Refereed) 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.

Place, publisher, year, edition, pages
Elsevier BV , 2022. Vol. 295, article id 121232
Keywords [en]
Modelling, Solid deposition, Porosity, Concentration, Pressure drop, Rapid sand filter
National Category
Water Engineering
Identifiers
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
Note

QC 20220812

Available from: 2022-08-12 Created: 2022-08-12 Last updated: 2022-08-12Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Ahmad, Arslan

Search in DiVA

By author/editor
Ahmad, Arslan
By organisation
Water and Environmental Engineering
In the same journal
Separation and Purification Technology
Water Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 62 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf