Long-term performance and fouling analysis of full-scale direct nanofiltration (NF) installations treating anoxic groundwater

2014 ◽  
Vol 468 ◽  
pp. 339-348 ◽  
Author(s):  
Florian Beyer ◽  
Bas M. Rietman ◽  
Arie Zwijnenburg ◽  
Paula van den Brink ◽  
Johannes S. Vrouwenvelder ◽  
...  
Keyword(s):  
Full Scale ◽  
Long Term Performance ◽  
Term Performance

Full Scale Experience with Tertiary Contact Filtration

1984 ◽  
Vol 16 (10-11) ◽  
pp. 225-239 ◽  
Author(s):  
M Boller
Keyword(s):  
Phosphorus Removal ◽  
Full Scale ◽  
Operating Variables ◽  
Low Phosphorus ◽  
Total Process ◽  
Chemical Conditions ◽  
Long Term Performance ◽  
Term Performance ◽  
Process Combination

The first full-scale contact filtration plant for advanced phosphorus removal in Switzerland was built 1979. In a twelve month investigation, the following design and operational aspects were considered: optimal chemical conditions for phosphorus removal, multimedia filter configuration, long-term performance of the total process combination (which included conventional treatment with simultaneous precipitation and contact filtration), and operating variables as filtration velocity, filter run time and backwash water use. Under optimal conditions, contact filtration provided consistently low phosphorus and suspended solids levels at reasonable cost.

Development, Operation, and Long-Term Performance of a Full-Scale Biocurtain Utilizing Bioaugmentation

2002 ◽  
Vol 36 (16) ◽  
pp. 3635-3644 ◽  
Author(s):  
Michael J. Dybas ◽  
David W. Hyndman ◽  
Robert Heine ◽  
James Tiedje ◽  
Katrina Linning ◽  
...  
Keyword(s):  
Full Scale ◽  
Long Term Performance ◽  
Term Performance

Review of the performance of full-scale MBR plants: design, operation and on-site experimental data

2010 ◽  
Vol 5 (2) ◽  
Author(s):  
S.K. Pattanayak ◽  
S. Chang ◽  
M. Theodoulou ◽  
V. Mahendraker
Keyword(s):  
Full Scale ◽  
Design Parameters ◽  
Plant Design ◽  
Treatment Technology ◽  
Wide Range ◽  
Pre Treatment ◽  
Long Term Performance ◽  
Term Performance ◽  
Removal System

The membrane bioreactor (MBR) process has become an effective alternative wastewater treatment technology that produces effluent with excellent quality. Globally, a wide range of municipal and industrial MBR plants are in operation, varying both in size and complexity. The objective of this investigation was to develop a better understanding of the long term performance of MBR plants. To achieve this objective, eight full-scale municipal MBR plants were examined. The methodology included a review of plant design parameters, pre-treatment system, biological operation, membrane operation, disinfection system and nutrient removal system. In addition, on-site tests were done on permeate, final effluent and mixed liquor to understand MBR performance.

scholarly journals Analysis of long-term performance of full-scale reverse osmosis desalination plant using artificial neural network and tree model

2019 ◽  
Vol 25 (5) ◽  
pp. 763-770 ◽  
Author(s):  
Yongjun Choi ◽  
Younggeun Lee ◽  
Kwanghee Shin ◽  
Youngkyu Park ◽  
Sangho Lee
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Reverse Osmosis ◽  
Full Scale ◽  
Tree Model ◽  
Desalination Plant ◽  
Long Term Performance ◽  
Term Performance ◽  
Reverse Osmosis Desalination

The reverse osmosis (RO) technology is currently the leading desalination method. However, until recently, application of RO technology on a large scale has been primarily limited by membrane fouling. The mechanism of fouling is complex, which is not well understood in full-scale plants. Although many studies about modeling and prediction of fouling have been done, in most cases, the experimental data set of lab or pilot scale systems, which may not show fouling characteristics well in full-scale systems were used. In this study, both artificial neural network (ANN) model and tree model (TM) was evaluated to analyze long-term performance of full scale reverse osmosis desalination plant. The results of application of the ANN and TM indicated high correlation coefficients between the measured and simulated output variables. However, it is not easy to use ANN for the full scale plant operation because the final model is not expressed as a form of mathematical functions. TM has advantages over ANN because the model can be obtained as forms of simple function and it showed reasonably high <i>R</i><sup>2</sup>. Therefore, TM is shown to be more adequate than ANN for developing models in which the full-scale RO plant data is considered as an input.

Modelling the dynamic long-term performance of a full-scale digester treating sludge from an urban WRRF using an extended version of ADM1

2021 ◽  
pp. 128870
Author(s):  
Guillermo Baquerizo ◽  
Justine Fiat ◽  
Pierre Buffiere ◽  
Romain Girault ◽  
Sylvie Gillot
Keyword(s):  
Full Scale ◽  
Extended Version ◽  
Long Term Performance ◽  
Term Performance

scholarly journals Long-term performance and microbial community analysis of a full-scale synthesis gas fed reactor treating sulfate- and zinc-rich wastewater

2009 ◽  
Vol 84 (3) ◽  
pp. 555-563 ◽  
Author(s):  
Bernd H. G. W. van Houten ◽  
Wim van Doesburg ◽  
Henk Dijkman ◽  
Cris Copini ◽  
Hauke Smidt ◽  
...  
Keyword(s):  
Microbial Community ◽  
Synthesis Gas ◽  
Community Analysis ◽  
Full Scale ◽  
Microbial Community Analysis ◽  
Long Term Performance ◽  
Term Performance
Sign in / Sign up

Export Citation Format

Share Document