Use of activate sludge model no. 3 and Bio-P module for simulating five-stage step-feed enhanced biological phosphorous removal process

2006 ◽  
Vol 23 (2) ◽  
pp. 203-208 ◽  
Author(s):  
Sung-Hak Lee ◽  
Joo-Hyoung Ko ◽  
Jong-Bok Park ◽  
Jeong-Hoon Im ◽  
Jong-Rack Kim ◽  
...  
Keyword(s):  
Activate Sludge ◽  
Phosphorous Removal ◽  
Removal Process

Performance of Denitrifying Phosphorous Removal Process Employing Nitrite as Electron Acceptor and the Characterization of Dominant Functional Populations

2012 ◽  
Vol 455-456 ◽  
pp. 1019-1024
Author(s):  
Hong Xu Bao ◽  
Xi Ping Ma ◽  
Jian Wang ◽  
Kui Jing ◽  
Man Li Shen ◽  
...  
Keyword(s):  
Electron Acceptor ◽  
Phosphorous Removal ◽  
Removal Process

Biological Application of MEMS Microelectrode Sensors for Direct Measurement of Phosphate in the Enhanced Biological Phosphorous Removal Process

2008 ◽  
Vol 2008 (17) ◽  
pp. 18-30
Author(s):  
Woo Hyoung Lee ◽  
Jin-Hwan Lee ◽  
Paul L. Bishop ◽  
Ian Papautsky
Keyword(s):  
Direct Measurement ◽  
Biological Application ◽  
Phosphorous Removal ◽  
Removal Process

Advanced sludge reduction and phosphorous removal process

2006 ◽  
Vol 13 (3) ◽  
pp. 313-317 ◽  
Author(s):  
Fang-ying Ji ◽  
Ning Zuo ◽  
Su-bo Yang ◽  
Yu-qin Hu
Keyword(s):  
Sludge Reduction ◽  
Phosphorous Removal ◽  
Removal Process

Effect of an electro phosphorous removal process on phosphorous removal and membrane permeability in a pilot-scale MBR

Desalination ◽  
2010 ◽  
Vol 250 (2) ◽  
pp. 629-633 ◽  
Author(s):  
Hyoung-Gun Kim ◽  
Hae-Nam Jang ◽  
Hye-Min Kim ◽  
Dae-Sung Lee ◽  
Tai-Hak Chung
Keyword(s):  
Membrane Permeability ◽  
Pilot Scale ◽  
Phosphorous Removal ◽  
Removal Process

Side-Stream EBPR Practices and Fundamentals – Rethinking and Reforming the Enhanced Biological Phosphorus Removal Process

2018 ◽  
Vol 2018 (5) ◽  
pp. 223-239
Author(s):  
Nicholas B Tooker ◽  
Guangyu Li ◽  
Varun Srinivasan ◽  
James L Barnard ◽  
Charles Bott ◽  
...  
Keyword(s):  
Phosphorus Removal ◽  
Enhanced Biological Phosphorus Removal ◽  
Biological Phosphorus Removal ◽  
Removal Process ◽  
Side Stream ◽  
Biological Phosphorus

Startup, Optimization, and Operational Results from a Biological Nutrient Removal Process with Ammonium Based Airflow Controls

2018 ◽  
Vol 2018 (5) ◽  
pp. 283-295
Author(s):  
Eric Redmond ◽  
Matthew Jalbert ◽  
Mike Young ◽  
Leon Downing ◽  
Tom Johnson
Keyword(s):  
Nutrient Removal ◽  
Biological Nutrient Removal ◽  
Removal Process

Demonstrating Compliance with Stringent Nitrogen Limits Using a Biological Nutrient Removal Process in California's Central Valley

2015 ◽  
Vol 87 (12) ◽  
pp. 2053-2064
Author(s):  
Rion Merlo ◽  
Bob Witzgall ◽  
William Yu ◽  
Kurt Ohlinger ◽  
Steve Ramberg ◽  
...  
Keyword(s):  
Nutrient Removal ◽  
Central Valley ◽  
Biological Nutrient Removal ◽  
Removal Process ◽  
California's Central Valley ◽  
California’S Central Valley

scholarly journals Constrained Parameter Estimation for a Mechanistic Kinetic Model of Cobalt–Hydrogen Electrochemical Competition during a Cobalt Removal Process

Entropy ◽  
2021 ◽  
Vol 23 (4) ◽  
pp. 387
Author(s):  
Yiting Liang ◽  
Yuanhua Zhang ◽  
Yonggang Li
Keyword(s):  
Parameter Estimation ◽  
Kinetic Model ◽  
Model Parameters ◽  
Hydrogen Ions ◽  
Removal Process ◽  
Cobalt Removal ◽  
Estimation Scheme ◽  
Zinc Hydrometallurgy ◽  
The Impact ◽  
Parameter Estimation Scheme

A mechanistic kinetic model of cobalt–hydrogen electrochemical competition for the cobalt removal process in zinc hydrometallurgical was proposed. In addition, to overcome the parameter estimation difficulties arising from the model nonlinearities and the lack of information on the possible value ranges of parameters to be estimated, a constrained guided parameter estimation scheme was derived based on model equations and experimental data. The proposed model and the parameter estimation scheme have two advantages: (i) The model reflected for the first time the mechanism of the electrochemical competition between cobalt and hydrogen ions in the process of cobalt removal in zinc hydrometallurgy; (ii) The proposed constrained parameter estimation scheme did not depend on the information of the possible value ranges of parameters to be estimated; (iii) the constraint conditions provided in that scheme directly linked the experimental phenomenon metrics to the model parameters thereby providing deeper insights into the model parameters for model users. Numerical experiments showed that the proposed constrained parameter estimation algorithm significantly improved the estimation efficiency. Meanwhile, the proposed cobalt–hydrogen electrochemical competition model allowed for accurate simulation of the impact of hydrogen ions on cobalt removal rate as well as simulation of the trend of hydrogen ion concentration, which would be helpful for the actual cobalt removal process in zinc hydrometallurgy.

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