Model-based strategy for nitrogen removal enhancement in full-scale wastewater treatment plants by GPS-X integrated with response surface methodology

被引:32
作者
Cao, Jiashun [1 ,2 ,3 ]
Yang, E. [1 ,2 ]
Xu, Chengzhi [1 ,2 ]
Zhang, Teng [1 ,2 ]
Xu, Runze [1 ,2 ]
Fu, Boming [1 ,2 ]
Feng, Qian [1 ,2 ,3 ]
Fang, Fang [1 ,2 ,3 ]
Luo, Jingyang [1 ,2 ,3 ]
机构
[1] Hohai Univ, Minist Educ, Key Lab Integrated Regulat & Resource Dev Shallow, Nanjing 210098, Peoples R China
[2] Hohai Univ, Coll Environm, Nanjing 210098, Peoples R China
[3] Guohe Environm Res Inst Nanjing Co Ltd, Nanjing 211599, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Model simulation; Wastewater treatment plants (WWTPs); Total nitrogen removal; GPS-X; DO concentration; Denitrification rates; ACTIVATED-SLUDGE MODEL; PROCESS OPTIMIZATION; VALIDATION; SIMULATION; RATIO;
D O I
10.1016/j.scitotenv.2020.144851
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Model simulation is an effective approach to optimize the operational performance of wastewater treatment plants (WWTPs). This study presents a novel strategy to enhance the total nitrogen (IN) removal in WWTPs by GPS-X integrated with response surface methodology. The sensitivities of 61 parameters were screened and analyzed, and 6 critical parameters (i.e., mu(max) (A), K-A/a, mu(max) (H), K-H/SS, Y-H and mu(maxPAO)) were selected for further adjustment. The accuracy of GPS-X for WWTPs modeling was validated by static and dynamic simulations with actual operational data. The results showed that the DO concentration diffused in different biological compartments exhibited significant effects on the denitrification rate. The TN removal is also associated with SRT. The significance and optimization orders of key parameters were analyzed. With the optimization of DO in biological units and SRT, the nitrification and denitrification rates were improved to 97.1 and 853% respectively, saving 17.9% energy consumption. (C) 2021 Elsevier B.V. All rights reserved.
引用
收藏
页数:10
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