Modelling gas-liquid mass transfer in wastewater treatment: when current knowledge needs to encounter engineering practice and vice versa.


Journal

Water science and technology : a journal of the International Association on Water Pollution Research
ISSN: 0273-1223
Titre abrégé: Water Sci Technol
Pays: England
ID NLM: 9879497

Informations de publication

Date de publication:
Aug 2019
Historique:
entrez: 30 10 2019
pubmed: 30 10 2019
medline: 2 11 2019
Statut: ppublish

Résumé

Gas-liquid mass transfer in wastewater treatment processes has received considerable attention over the last decades from both academia and industry. Indeed, improvements in modelling gas-liquid mass transfer can bring huge benefits in terms of reaction rates, plant energy expenditure, acid-base equilibria and greenhouse gas emissions. Despite these efforts, there is still no universally valid correlation between the design and operating parameters of a wastewater treatment plant and the gas-liquid mass transfer coefficients. That is why the current practice for oxygen mass transfer modelling is to apply overly simplified models, which come with multiple assumptions that are not valid for most applications. To deal with these complexities, correction factors were introduced over time. The most uncertain of them is the α-factor. To build fundamental gas-liquid mass transfer knowledge more advanced modelling paradigms have been applied more recently. Yet these come with a high level of complexity making them impractical for rapid process design and optimisation in an industrial setting. However, the knowledge gained from these more advanced models can help in improving the way the α-factor and thus gas-liquid mass transfer coefficient should be applied. That is why the presented work aims at clarifying the current state-of-the-art in gas-liquid mass transfer modelling of oxygen and other gases, but also to direct academic research efforts towards the needs of the industrial practitioners.

Identifiants

pubmed: 31661440
doi: 10.2166/wst.2019.253
doi:

Substances chimiques

Gases 0
Waste Water 0
Oxygen S88TT14065

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

607-619

Auteurs

Andreia Amaral (A)

BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure Links 653, 9000 Ghent, Belgium E-mail: andreia.amaral@ugent.be; andreia.amaral@tecnico.ulisboa.pt; MARETEC, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1, 1049-001 Lisbon, Portugal.

Sylvie Gillot (S)

Irstea, UR REVERSAAL, centre de Lyon-Villeurbanne, 5 rue de la Doua, Villeurbanne cedex F-69926, France.

Manel Garrido-Baserba (M)

Department of Civil and Environmental Engineering, University of California, Irvine, CA 92697-2175, USA and Water-Energy Nexus Center, University of California, Irvine, CA 92697-2175, USA.

Ahlem Filali (A)

Irstea, UR PROSE, 1 Rue Pierre-Gilles de Gennes - CS 10030, F-92761, Antony Cedex, France.

Anna M Karpinska (AM)

Southern Water, Wastewater Wholesale Services, Asset Performance-Asset Optimisation, Southern House-Falmer, Lewes Road, Falmer, Brighton BN1 9PY, UK.

Benedek G Plósz (BG)

Department of Chemical Engineering, University of Bath, Claverton Down, Bath BA2 7AY, UK.

Christopher De Groot (C)

Department of Mechanical and Materials Engineering, Western University, 1151 Richmond St. N., London N6A 5B9, Canada.

Giacomo Bellandi (G)

BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure Links 653, 9000 Ghent, Belgium E-mail: andreia.amaral@ugent.be; andreia.amaral@tecnico.ulisboa.pt; Department of Civil and Environmental Engineering, University of Florence, via di S. Marta, 3, Florence 50139, Italy.

Ingmar Nopens (I)

BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure Links 653, 9000 Ghent, Belgium E-mail: andreia.amaral@ugent.be; andreia.amaral@tecnico.ulisboa.pt.

Imre Takács (I)

Dynamita, 7 Eoupe, 26110 Nyons, France.

Izaro Lizarralde (I)

Ceit, Manuel Lardizabal 15, 20018 Donostia/San Sebastián, Spain and Universidad de Navarra, Tecnun Escuela de Ingenieros, Manuel Lardizabal 13, 20018 Donostia/San Sebastián, Spain.

Jose A Jimenez (JA)

Brown and Caldwell, 2301 Lucien Way, Suite 250, Maitland, Florida 32751, USA.

Justine Fiat (J)

Irstea, UR PROSE, 1 Rue Pierre-Gilles de Gennes - CS 10030, F-92761, Antony Cedex, France.

Leiv Rieger (L)

inCTRL Solutions Inc., 7 Innovation Drive Suite 107 Dundas ON L9H 7H9, Canada.

Magnus Arnell (M)

Department of Biomedical Engineering (BME), Division of Industrial Electrical Engineering and Automation (IEA), Lund University, P.O. Box 118, SE-221 00 Lund, Sweden; RISE Research Institutes of Sweden, Gjuterigatan 1D, SE-582 73 Linköping, Sweden.

Mikkel Andersen (M)

DHI, Aarhus DK-8200, Denmark.

Ulf Jeppsson (U)

Department of Biomedical Engineering (BME), Division of Industrial Electrical Engineering and Automation (IEA), Lund University, P.O. Box 118, SE-221 00 Lund, Sweden.

Usman Rehman (U)

BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure Links 653, 9000 Ghent, Belgium E-mail: andreia.amaral@ugent.be; andreia.amaral@tecnico.ulisboa.pt; AM-TEAM, Advanced modelling for process optimization, Okrooiplein 1 - box 601, 9000 Ghent, Belgium.

Yannick Fayolle (Y)

Irstea, UR PROSE, 1 Rue Pierre-Gilles de Gennes - CS 10030, F-92761, Antony Cedex, France.

Youri Amerlinck (Y)

BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure Links 653, 9000 Ghent, Belgium E-mail: andreia.amaral@ugent.be; andreia.amaral@tecnico.ulisboa.pt.

Diego Rosso (D)

Department of Civil and Environmental Engineering, University of California, Irvine, CA 92697-2175, USA and Water-Energy Nexus Center, University of California, Irvine, CA 92697-2175, USA.

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