Optimal parameter estimation in activated sludge process based wastewater treatment practice | |
Du, Xianjun1,2,3,4; Ma, Yue1,2,4; Wei, Xueqin2; Jegatheesan, Veeriah3 | |
刊名 | Water (Switzerland) |
2020-09-01 | |
卷号 | 12期号:9 |
关键词 | Effluent treatment Effluents Genetic algorithms Parameter estimation Reclamation Sewage treatment plants Wastewater treatment Water quality Activated sludge model Faster convergence Global optimal solutions Intelligent Algorithms Invasive weed optimization Optimal parameter estimation Wastewater treatment plants Wastewater treatment process |
DOI | 10.3390/W12092604 |
英文摘要 | Activated sludge models (ASMs) are often used in the simulation of the wastewater treatment process to evaluate whether the effluent quality parameters of a wastewater treatment plant meet the standards. The premise of successful simulation is to choose appropriate dynamic parameters for the model. A niche based adaptive invasive weed optimization (NAIWO) algorithm is proposed in this paper to find the appropriate kinetic parameters of activated sludge model 1 (ASM1). The niche idea is used to improve the possibility of convergence to the global optimal solution. In addition, the adaptive mechanism and periodic operator are introduced to improve the convergence speed and accuracy of the algorithm. Finally, NAIWO is used to optimize the parameters of ASM1. Comparison with other intelligent algorithms such as invasive weed optimization (IWO), genetic algorithm (GA), and bat algorithm (BA) showed the higher convergence accuracy and faster convergence speed of NAIWO. The results showed that the ASM1 model results agreed with measured data with smaller errors. © 2020 by the authors. |
WOS研究方向 | Environmental Sciences & Ecology ; Water Resources |
语种 | 英语 |
出版者 | MDPI AG |
WOS记录号 | WOS:000580689500001 |
内容类型 | 期刊论文 |
源URL | [http://ir.lut.edu.cn/handle/2XXMBERH/115299] |
专题 | 电气工程与信息工程学院 |
作者单位 | 1.Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou University of Technology, Lanzhou; 730050, China; 2.College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou; 730050, China; 3.School of Engineering, Royal Melbourne Institute of Technology (RMIT University), Melbourne; 3000, Australia; 4.National Demonstration Center for Experimental Electrical and Control Engineering Education, Lanzhou University of Technology, Lanzhou; 730050, China |
推荐引用方式 GB/T 7714 | Du, Xianjun,Ma, Yue,Wei, Xueqin,et al. Optimal parameter estimation in activated sludge process based wastewater treatment practice[J]. Water (Switzerland),2020,12(9). |
APA | Du, Xianjun,Ma, Yue,Wei, Xueqin,&Jegatheesan, Veeriah.(2020).Optimal parameter estimation in activated sludge process based wastewater treatment practice.Water (Switzerland),12(9). |
MLA | Du, Xianjun,et al."Optimal parameter estimation in activated sludge process based wastewater treatment practice".Water (Switzerland) 12.9(2020). |
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