Journal
BIORESOURCE TECHNOLOGY
Volume 157, Issue -, Pages 161-165Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.biortech.2014.01.103
Keywords
Wastewater treatment plant; Multi-objective optimization; Decision factor; Treatment cost; Effluent quality
Funding
- Key Special Program on the S&T for the Pollution Control [2012ZX07103-001, 2011ZX07303-002-04]
- Key S&T Project of Anhui Province [12010402093]
- Program for Changjiang Scholars and Innovative Research Team in University
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An improved multi-objective optimization (MOO) model was established and used for simultaneously optimizing the treatment cost and multiple effluent quality indexes (including effluent COD, NH4+-N, NO3--N) of a municipal wastewater treatment plant (WWTP). Compared with previous models that were mainly based on the use of fixed decision factors and did not taken into account the treatment cost, this model introduces a relationship model based on back propagation algorithm to determine the set of decision factors according to the expected optimization targets. Thus, a more flexible and precise optimization of the treatment process was allowed. Moreover, a MOO of conflicting objectives (i.e., treatment cost and effluent quality) was achieved. Applying this method, an optimal balance between operating cost and effluent quality of a WWTP can be found. This model may offer a useful tool for optimized design and control of practical WWTPs. (C) 2014 Elsevier Ltd. All rights reserved.
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