Towards advanced aeration modelling: from blower to bubbles to bulk

Author:

Amaral Andreia12,Schraa Oliver3,Rieger Leiv3,Gillot Sylvie4,Fayolle Yannick5,Bellandi Giacomo16,Amerlinck Youri1,Mortier Séverine T. F. C.1,Gori Riccardo6,Neves Ramiro2,Nopens Ingmar1

Affiliation:

1. BIOMATH, Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Coupure Links 653, Ghent 9000, Belgium

2. MARETEC, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1, Lisboa 1049-001, Portugal

3. inCTRL Solutions Inc., 470 Anthony Drive, Oakville, ON L6J 2K5, Canada

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

5. Irstea, UR HBAN, centre d'Antony, 1 rue Pierre-Gilles de Gennes, Antony cedex F-92761, France

6. Department of Civil and Environmental Engineering, University of Florence, via di S. Marta, 3, Florence 50139, Italy

Abstract

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.

Publisher

IWA Publishing

Subject

Water Science and Technology,Environmental Engineering

Reference43 articles.

1. Amerlinck Y. 2015 Model Refinements in View of Wastewater Treatment Plant Optimization: Improving the Balance in Sub-model Detail, Ghent University, Ghent, Belgium.

2. Detailed off-gas measurements for improved modelling of the aeration performance at the WWTP of Eindhoven;Amerlinck;Water Sci. Technol.,2016

3. A realistic dynamic blower energy consumption model for waste water applications;Amerlinck;Water Sci. Technol.,2016

4. ASCE 2007 Measurement of Oxygen Transfer in Clean Water. American Society of Civil Engineers, Reston, VA, USA.

5. The difference between energy consumption and energy cost: modelling energy tariff structures for water resource recovery facilities;Aymerich;Water Res.,2015

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