Fast empirical lab method for performance projections of large-scale powdered activated carbon re-circulation plants.


Journal

Chemosphere
ISSN: 1879-1298
Titre abrégé: Chemosphere
Pays: England
ID NLM: 0320657

Informations de publication

Date de publication:
Jan 2019
Historique:
received: 03 08 2018
revised: 07 10 2018
accepted: 09 10 2018
pubmed: 21 10 2018
medline: 12 12 2018
entrez: 21 10 2018
Statut: ppublish

Résumé

Powdered activated carbon (PAC) for organic micro-pollutant (OMP) removal can be applied effectively on wastewater treatment plant (WWTP) effluents by using re-circulation schemes, accumulating the PAC in the system. This technique is complex because several factors are unknown: (i) the PAC concentration in the system, (ii) specific and average contact times of PAC particles, and (iii) PAC particle loadings with target compounds/competing water constituents. Thus, performance projections (e.g. in the lab) are very challenging. We sampled large-scale PAC plants with PAC sludge re-circulation on eight different WWTPs. The PAC plant-induced OMP removals were notably different, even when considering PAC concentrations in proportion to background organic sum parameters. The variability is likely caused by differing PAC products, varying water composition, differently effective plant/re-circulation operation, and variable biodegradation. Plant PAC samples and parts of the PAC plant influent samples were used in laboratory tests, applying multiples (0.5, 1, 2, 4) of the respective large-scale "fresh" PAC doses, and several fixed contact times (0.5, 1, 2, 4, 48 h). The aim was to empirically identify suitable combinations of lab PAC dose (as multiples of the plant PAC dose) and contact time, which represent the PAC plant performances in removing OMPs (for specific OMPs at single locations, and for averages of different OMPs at all locations). E.g., for five well adsorbing, little biodegradable OMPs, plant performances can be projected by using a lab PAC dose of twice the respective full-scale PAC dose and 4 h lab contact time (standard deviation of 13 %-points).

Identifiants

pubmed: 30342401
pii: S0045-6535(18)31909-X
doi: 10.1016/j.chemosphere.2018.10.055
pii:
doi:

Substances chimiques

Organic Chemicals 0
Water Pollutants, Chemical 0
Charcoal 16291-96-6

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

563-573

Informations de copyright

Copyright © 2018 Elsevier Ltd. All rights reserved.

Auteurs

Frederik Zietzschmann (F)

Technische Universität Berlin, Water Quality Control, Str. des 17. Juni 135, 10623, Berlin, Germany; Delft University of Technology, Watermanagement, Stevinweg 1, PO Box 5048, 2600 GA, Delft, Netherlands. Electronic address: frederik.zietzschmann@tu-berlin.de.

Stefan Dittmar (S)

Technische Universität Berlin, Water Quality Control, Str. des 17. Juni 135, 10623, Berlin, Germany.

Lydia Splettstößer (L)

Technische Universität Berlin, Water Quality Control, Str. des 17. Juni 135, 10623, Berlin, Germany.

Jonas Hunsicker (J)

Technische Universität Berlin, Water Quality Control, Str. des 17. Juni 135, 10623, Berlin, Germany.

Daniel Dittmann (D)

Technische Universität Berlin, Water Quality Control, Str. des 17. Juni 135, 10623, Berlin, Germany; Bundesanstalt für Materialforschung, Unter den Eichen 87, 12205, Berlin, Germany.

Felix Meinel (F)

Technische Universität Berlin, Water Quality Control, Str. des 17. Juni 135, 10623, Berlin, Germany.

Annette Rößler (A)

Kompetenzzentrum Spurenstoffe Baden-Württemberg, c/o Universität Stuttgart, Bandtäle 2, 70569, Stuttgart, Germany.

Steffen Metzger (S)

Kompetenzzentrum Spurenstoffe Baden-Württemberg, c/o Universität Stuttgart, Bandtäle 2, 70569, Stuttgart, Germany; Weber-Ingenieure GmbH, Bauschlotter Straße 62, 75177, Pforzheim, Germany.

Martin Jekel (M)

Technische Universität Berlin, Water Quality Control, Str. des 17. Juni 135, 10623, Berlin, Germany.

Aki Sebastian Ruhl (AS)

Technische Universität Berlin, Water Quality Control, Str. des 17. Juni 135, 10623, Berlin, Germany; Umweltbundesamt Marienfelde, Schichauweg 58, 12307, Berlin, Germany.

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