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Optimization of the Activated Sludge Process.
- Source :
-
Journal of Energy Engineering . Mar2013, Vol. 139 Issue 1, p12-17. 6p. 2 Diagrams, 5 Charts, 8 Graphs. - Publication Year :
- 2013
-
Abstract
- This paper presents a multiobjective model for optimization of the activated sludge process (ASP) in a wastewater-treatment plant (WWTP). To minimize the energy consumption of the activated sludge process and maximize the quality of the effluent, three different objective functions are modeled [i.e., the airflow rate, the carbonaceous biochemical oxygen demand (CBOD) of the effluent, and the total suspended solids (TSS) of the effluent]. These models are developed using a multilayer perceptron (MLP) neural network based on industrial data. Dissolved oxygen (DO) is the controlled variable in these objectives. A multiobjective model that included these objectives is solved with a multiobjective particle swarm optimization (MOPSO) algorithm. Computation results are reported for three trade-offs between energy savings and the quality of the effluent. A 15% reduction in airflow can be achieved by optimal settings of dissolved oxygen, provided that energy savings take precedence over the quality of the effluent. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 07339402
- Volume :
- 139
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Journal of Energy Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 85652945
- Full Text :
- https://doi.org/10.1061/(ASCE)EY.1943-7897.0000092