Aeration is an essential component of aerobic biological wastewater treatment and is the largest energy consumer at most water resource recovery facilities. Most modelling studies neglect the inherent complexity of the aeration systems used. Typically, the blowers, air piping, and diffusers are not modelled in detail, completely mixed reactors in a series are used to represent plug-flow reactors, and empirical correlations are used to describe the impact of operating conditions on bubble formation and transport, and oxygen transfer from the bubbles to the bulk liquid. However, the mechanisms involved are very complex in nature and require significant research efforts. This contribution highlights why and where there is a need for more detail in the different aspects of the aeration system and compiles recent efforts to develop physical models of the entire aeration system (blower, valves, air piping and diffusers), as well as adding rigour to the oxygen transfer efficiency modelling (impact of viscosity, bubble size distribution, shear and hydrodynamics). As a result of these model extensions, more realistic predictions of dissolved oxygen profiles and energy consumption have been achieved. Finally, the current needs for further model development are highlighted.
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Research Article|
September 29 2016
Towards advanced aeration modelling: from blower to bubbles to bulk
Andreia Amaral;
1BIOMATH, Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Coupure Links 653, Ghent 9000, Belgium
2MARETEC, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1, Lisboa 1049-001, Portugal
E-mail: andreia.amaral@ugent.be
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Oliver Schraa;
Oliver Schraa
3inCTRL Solutions Inc., 470 Anthony Drive, Oakville, ON L6J 2K5, Canada
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Leiv Rieger;
Leiv Rieger
3inCTRL Solutions Inc., 470 Anthony Drive, Oakville, ON L6J 2K5, Canada
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Sylvie Gillot;
Sylvie Gillot
4Irstea, UR MALY, centre de Lyon-Villeurbanne, 5 rue de la Doua, Villeurbanne cedex F-69926, France
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Yannick Fayolle;
Yannick Fayolle
5Irstea, UR HBAN, centre d'Antony, 1 rue Pierre-Gilles de Gennes, Antony cedex F-92761, France
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Giacomo Bellandi;
Giacomo Bellandi
1BIOMATH, Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Coupure Links 653, Ghent 9000, Belgium
6Department of Civil and Environmental Engineering, University of Florence, via di S. Marta, 3, Florence 50139, Italy
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Youri Amerlinck;
Youri Amerlinck
1BIOMATH, Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Coupure Links 653, Ghent 9000, Belgium
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Séverine T. F. C. Mortier;
Séverine T. F. C. Mortier
1BIOMATH, Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Coupure Links 653, Ghent 9000, Belgium
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Riccardo Gori;
Riccardo Gori
6Department of Civil and Environmental Engineering, University of Florence, via di S. Marta, 3, Florence 50139, Italy
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Ramiro Neves;
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Ramiro Neves
2MARETEC, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1, Lisboa 1049-001, Portugal
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Ingmar Nopens
Ingmar Nopens
1BIOMATH, Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Coupure Links 653, Ghent 9000, Belgium
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Water Sci Technol (2017) 75 (3): 507–517.
Article history
Received:
June 01 2016
Accepted:
July 22 2016
Citation
Andreia Amaral, Oliver Schraa, Leiv Rieger, Sylvie Gillot, Yannick Fayolle, Giacomo Bellandi, Youri Amerlinck, Séverine T. F. C. Mortier, Riccardo Gori, Ramiro Neves, Ingmar Nopens; Towards advanced aeration modelling: from blower to bubbles to bulk. Water Sci Technol 13 February 2017; 75 (3): 507–517. doi: https://doi.org/10.2166/wst.2016.365
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