Literature DB >> 33736239

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

Jiashun Cao1, E Yang2, Chengzhi Xu2, Teng Zhang2, Runze Xu2, Boming Fu2, Qian Feng1, Fang Fang1, Jingyang Luo3.   

Abstract

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 (TN) 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., μmax A, KA/a, μmax H, KH/ss, YH and μmaxPAO) 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 85.3% respectively, saving 17.9% energy consumption.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  DO concentration; Denitrification rates; GPS-X; Model simulation; Total nitrogen removal; Wastewater treatment plants (WWTPs)

Year:  2021        PMID: 33736239     DOI: 10.1016/j.scitotenv.2020.144851

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  Modeling of novel processes for eliminating sidestreams impacts on full-scale sewage treatment plant using GPS-X7.

Authors:  Ahmed M Faris; Haider M Zwain; Majid Hosseinzadeh; Seyed Mostafa Siadatmousavi
Journal:  Sci Rep       Date:  2022-02-22       Impact factor: 4.379

2.  Study on the optimal position of the roof low roadway based on the response surface methodology.

Authors:  Hongqing Zhu; Shuhao Fang; Yujia Huo; Qi Liao; Lintao Hu; Yilong Zhang; Feng Li
Journal:  Sci Rep       Date:  2021-07-15       Impact factor: 4.379

  2 in total

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