An efficient approach based on bi-sensitivity analysis and genetic algorithm for calibration of activated sludge models

被引:9
作者
Chen, Wenliang [1 ,3 ]
Lu, Xiwu [1 ,3 ]
Yao, Chonghua [2 ]
Zhu, Guangcan [1 ,3 ]
Xu, Zhuo [1 ,3 ]
机构
[1] Southeast Univ, Sch Energy & Environm, Nanjing 210096, Jiangsu, Peoples R China
[2] E China Univ Sci & Technol, Sch Resources & Environm Engn, Shanghai 200237, Peoples R China
[3] ERC Taihu Lake Water Environm Wuxi, Nanjing, Jiangsu, Peoples R China
关键词
Activated sludge model; Calibration; Validation; Sensitivity analysis; Genetic algorithm; Switching function; BENCHMARK SIMULATION-MODEL; CONTROL STRATEGIES; OPTIMIZATION; SYSTEMS; STATE; IDENTIFIABILITY; PARAMETERS; SELECTION; REMOVAL;
D O I
10.1016/j.cej.2014.07.131
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
An efficient approach employing bi-sensitivity analysis and genetic algorithm was proposed for calibration of activated sludge models. The approach mainly contained twice sensitivity analyses and twice calibrations through minimizing cost function by genetic algorithm, and which was evaluated on Step A(2)/O activated sludge process with Commutative Multi-influent (SA(2)/OCM) at low temperature, where effluent COD, TN, TP and NH4+-N were used. The model was calibrated at HRT 16 h under steady state, while model validation was carried out under HRT 20 h and HRT 24 h using dynamic data. Results showed that, model with default ASM2d parameters had poor predictions of TN and NH4+-N at low temperature. Sensitivities of K-O2, K-NH4, and K-ALK located in switching functions would be increased along with the decreasing of NH4+-N, thus these parameters were missed during the first sensitivity analysis owing to that NH4+-N was poorly predicted, however they were selected during the second sensitivity analysis based on the calibrated model 1. Consequently predictions of the calibrated model 2 were better than that of the calibrated model 1. In addition, computational time of this approach could be reduced by using the efficient C code and the parallel computing. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:845 / 853
页数:9
相关论文
共 36 条
[31]  
Vanhooren H., 2003, J HYDROINFORM, V5, P27, DOI DOI 10.2166/HYDRO.2003.0003
[32]   CALIBRATION OF POORLY IDENTIFIABLE SYSTEMS - APPLICATION TO ACTIVATED-SLUDGE MODEL [J].
VONSPERLING, M .
JOURNAL OF ENVIRONMENTAL ENGINEERING-ASCE, 1994, 120 (03) :625-644
[33]  
Wang H., 2009, 5F A2 0 EXPLORATION
[34]   CALIBRATION OF AN ACTIVATED-SLUDGE MODEL BASED ON HUMAN EXPERTISE AND ON A MATHEMATICAL OPTIMIZATION TECHNIQUE - A COMPARISON [J].
WANNER, O ;
KAPPELER, J ;
GUJER, W .
WATER SCIENCE AND TECHNOLOGY, 1992, 25 (06) :141-148
[35]   A procedure for selecting best identifiable parameters in calibrating activated sludge model no.1 to full-scale plant data [J].
Weijers, SR ;
Vanrolleghem, PA .
WATER SCIENCE AND TECHNOLOGY, 1997, 36 (05) :69-79
[36]   Optimizing municipal wastewater treatment plants using an improved multi-objective optimization method [J].
Zhang, Rui ;
Xie, Wen-Ming ;
Yu, Han-Qing ;
Li, Wen-Wei .
BIORESOURCE TECHNOLOGY, 2014, 157 :161-165