Multi-objective optimal control of small-size wastewater treatment plants

被引:33
|
作者
Hreiz, Rainier [1 ,2 ]
Roche, Nicolas [2 ]
Benyahia, Brahim [3 ]
Latifi, M. A. [1 ]
机构
[1] Univ Lorraine, CNRS ENSIC, Lab React & Genie Proc, F-54001 Nancy, France
[2] Aix Marseille Univ, CNRS, Cent Marseille, Lab Mecan Modelisat & Proc Propres,UMR7340,Europo, F-13545 Aix En Provence 4, France
[3] Univ Loughborough, Dept Chem Engn, Loughborough LE11 3TU, Leics, England
来源
关键词
Wastewater treatment; Activated sludge; Dynamic optimization; Multi-objective optimization; Pareto front; ACTIVATED-SLUDGE PROCESS; BIOLOGICAL NITROGEN REMOVAL; SEQUENCING BATCH REACTOR; MODEL-BASED OPTIMIZATION; DYNAMIC OPTIMIZATION; DESIGN; AERATION; DENITRIFICATION; NITRIFICATION; OPERATION;
D O I
10.1016/j.cherd.2015.06.039
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
In this work, a multi-objective dynamic optimization of the operating strategy of a small-size wastewater treatment plant is carried out. In-situ incineration of the excess sludge produced for electricity production is investigated in order to reduce the operating costs. The trade-offs between the treatment quality and the operating costs are characterized. Compared to the literature, emphasis is put on a more rigorous formulation of the problem and an accurate modeling of the underlying phenomena so as to get physically relevant solutions. Thus, from a mathematical perspective, the problem is formulated so that the solution is less sensitive to the - arbitrarily chosen-plant initial conditions. Modeling of physical phenomena e.g. the detrimental effect of the concentration of suspended solids in the mixed liquor, on oxygen transfer rate, has been included in the model. Several constraints are added to the problem so as to maintain the optimal solutions within the limits of validity of the mathematical model. The results provided a clear picture about the trade-offs between the treatment quality and the exploitation costs. Sludge incineration was shown to be of a high energetic profit, but it does not allow the plant to be electrically autonomous. (C) 2015 The Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:345 / 353
页数:9
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