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Understanding the influence of operating parameters throughin silicooptimization of energy consumption of submerged membrane bioreactor for urban wastewater treatment

González Hernández, Yusmel and Jáuregui Haza, Ulises Javier and Albasi, Claire and Alliet-Gaubert, Marion Understanding the influence of operating parameters throughin silicooptimization of energy consumption of submerged membrane bioreactor for urban wastewater treatment. (2015) Desalination and Water Treatment. pp. 1-13. ISSN 1944-3994

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Official URL: http://dx.doi.org/10.1080/19443994.2015.1081631

Abstract

Membrane bioreactor technology has become relatively widespread as an advanced treatment for both industrial and municipal wastewaters. The main problem of these installations is that they do not operate at the maximum of their potential, mainly because of membrane fouling. Experimental research with this kind of installation requires resources and is time consuming. The use of a computer simulator, as in the present work, allows the fouling behaviour in a bench-scale submerged membrane bioreactor to be investigated over a wide range of operating parameters: average specific aeration intensity (0.041–0.277 L m−2 s−1), filtration flux (0.032–0.160 m3 m−2 d−1) and filtration and coarse bubble aeration cycles (filtration and aeration times: 60–1080 s, with/without ratio: 0.33/10). A quadratic optimization method applied to the energy consumption (EC) was first carried out: minimum values of 0.27 and 0.32 kW h m−3 were obtained for EC in the sequential and non-sequential operating modes, respectively. Using the optimal operating conditions and the most influent parameters found in the first part, the second part details their influence on both membrane fouling and EC for each operating mode. The mean filtration flux and the mean aeration intensity have opposite effects on fouling and EC, which implies that a more global, economic optimization, including chemical cleaning, is needed. The detailed study of filtration and coarse bubble aeration cycles showed that they had little influence for a with/without ratio superior to 1. Using the quadratic optimization method with in silico experiments gave reliable first approximation results.

Item Type:Article
Additional Information:Thanks to Taylor & Francis editor. The definitive version is available at http://www.tandfonline.com The original PDF of the article can be found at Taylor & Francis website : http://www.tandfonline.com/doi/abs/10.1080/19443994.2015.1081631
HAL Id:hal-01205310
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Paul Sabatier-Toulouse III - UPS (FRANCE)
Other partners > Instituto Superior de Tecnologias y Ciencias Aplicadas - InSTEC (CUBA)
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Deposited By: Marion ALLIET GAUBERT
Deposited On:25 Sep 2015 09:48

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