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Optimal design and operation of activated sludge processes: State-of-the-art

Authors :
Mohamed Abderrazak Latifi
Nicolas Roche
Rainier Hreiz
Laboratoire Réactions et Génie des Procédés (LRGP)
Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)
Laboratoire de Mécanique, Modélisation et Procédés Propres (M2P2)
Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS)
Laboratoire Réactions et Génie des Procédés ( LRGP )
Université de Lorraine ( UL ) -Centre National de la Recherche Scientifique ( CNRS )
Service de Pneumologie
Groupe Hospitalier Cochin Broca Hotel Dieu, APHP et Université René Descartes
Centre National de la Recherche Scientifique (CNRS)-École Centrale de Marseille (ECM)-Aix Marseille Université (AMU)
Source :
Chemical Engineering Journal, Chemical Engineering Journal, Elsevier, 2015, 281, pp.900-920. ⟨10.1016/j.cej.2015.06.125⟩, Chemical Engineering Journal, Elsevier, 2015, 281, pp.900-920. 〈10.1016/j.cej.2015.06.125〉, Chemical Engineering Journal, 2015, 281, pp.900-920. ⟨10.1016/j.cej.2015.06.125⟩
Publication Year :
2015
Publisher :
HAL CCSD, 2015.

Abstract

International audience; The activated sludge process (ASP) is the most commonly used process for wastewater treatment. Improving its performance is necessary from economic and environmental point of views. In this context, dynamic optimization is a powerful tool for assisting engineers in determining optimal operations and designs for ASPs. However, the real optimality of the solution strongly depends on the optimization problem statement, for which unfortunately, there is no standard or commonly accepted formulation. In a hopeful attempt to provide a guideline for future works on the topic, this paper reviews the literature devoted to optimal control and design of ASPs. The main issues to be addressed in order to get reliable solutions are discussed , among which: (1) Managing the inevitable mismatch between the model predictions and the real ASP operation. (2) Dealing with the unpredictable variations in the wastewater characteristics. (3) Accounting for the slowest dynamic processes occurring in ASPs. (4) Appropriately selecting the decision variables and the flowsheet structure in order to simplify the problem formulation from a mathematical perspective. (5) Conveniently choosing the cost functions expressions/correlations. (6) Successfully selecting the mathematical constraints in order to guarantee physically relevant operations.

Details

Language :
English
ISSN :
13858947
Database :
OpenAIRE
Journal :
Chemical Engineering Journal, Chemical Engineering Journal, Elsevier, 2015, 281, pp.900-920. ⟨10.1016/j.cej.2015.06.125⟩, Chemical Engineering Journal, Elsevier, 2015, 281, pp.900-920. 〈10.1016/j.cej.2015.06.125〉, Chemical Engineering Journal, 2015, 281, pp.900-920. ⟨10.1016/j.cej.2015.06.125⟩
Accession number :
edsair.doi.dedup.....659f9bd3aba6f6bd1eb0566867f90f16