Journal article
Optimization of the Activated Sludge Process
Journal of energy engineering, Vol.139(1), pp.12-17
03/01/2013
DOI: 10.1061/(ASCE)EY.1943-7897.0000092
Abstract
AbstractThis 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.
Details
- Title: Subtitle
- Optimization of the Activated Sludge Process
- Creators
- Andrew Kusiak - The Univ. of Iowa Dept. of Mechanical and Industrial Engineering, 2139 Seamans Center, , Iowa City, IA 52242 (corresponding author). E-mailXiupeng Wei - The Univ. of Iowa Dept. of Mechanical and Industrial Engineering, 3131 Seamans Center, , Iowa City, IA 52242. E-mail
- Resource Type
- Journal article
- Publication Details
- Journal of energy engineering, Vol.139(1), pp.12-17
- Publisher
- American Society of Civil Engineers
- DOI
- 10.1061/(ASCE)EY.1943-7897.0000092
- ISSN
- 0733-9402
- eISSN
- 1943-7897
- Language
- English
- Date published
- 03/01/2013
- Academic Unit
- Industrial and Systems Engineering; Nursing
- Record Identifier
- 9984064115602771
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