A practical protocol for dynamic modelling of activated sludge systems

2002 ◽  
Vol 45 (6) ◽  
pp. 127-136 ◽  
Author(s):  
J.J.W. Hulsbeek ◽  
J. Kruit ◽  
P.J. Roeleveld ◽  
M.C.M. van Loosdrecht
Keyword(s):  
Wastewater Treatment ◽  
Wastewater Treatment Plants ◽  
Dynamic Modelling ◽  
Simulation Models ◽  
Full Scale ◽  
Applied Water ◽  
Time Investment ◽  
Practical Experiences ◽  
Set Up ◽  
Activated Sludge Systems

Use of dynamic simulation models has become standard practice in The Netherlands. Since the introduction around 5 years ago more then 100 full scale wastewater treatment plants have been modelled. Initially very different approaches have been used varying in calibration approach, amount of sampling and time investment. Based on the accumulated practical experiences the Dutch Foundation of Applied Water Research STOWA has stimulated the development of a protocol to aid in the set-up and calibration of models for full scale wastewater treatment plants. Herein the aim was to develop a protocol, which in practice was easy to use, minimising time and costs effort, but give a reliable and useable method. In this paper this protocol is briefly described.

MODELLING OF FULL-SCALE WASTEWATER TREATMENT PLANTS: HOW DETAILED SHOULD IT BE?

1994 ◽  
Vol 30 (2) ◽  
pp. 141-147 ◽  
Author(s):  
Bruce Watson ◽  
Mark Rupke ◽  
Imre Takács ◽  
Gilles Patry
Keyword(s):  
Wastewater Treatment ◽  
Large Scale ◽  
Wastewater Treatment Plants ◽  
Real Life ◽  
Dynamic Modelling ◽  
Optimal Level ◽  
Full Scale ◽  
Process Models ◽  
Data Availability ◽  
Process Unit

Dynamic mathematical modelling of full-scale wastewater treatment plants requires an optimal level of detail to be accurate, effective, but still manageable. Single process models tend to oversimplify the complexities of a large-scale plant and result in erroneous calibrated parameter values or limited predictive power for the model – on the other hand, modelling of every process and process unit is usually impractical, since it cannot be supported by reliable plant data, and requires prohibitive sampling costs and effort. Level of aggregation, settler dimensionality and reactivity, and plug-flow hydraulics were investigated with the help of a sophisticated dynamic modelling package. The results show that there is no general rule or global ‘optimal level’ of modelling – the required modelling detail is a function of influent flow and loading levels, and processes to be simulated (BOD removal, nitrification-denitrification, biological phosphorus removal, settling). In the case of real-life plants, supportable modelling level is often constrained by data availability and reliability.

Nanofiltration of endocrine disrupting compounds

2003 ◽  
Vol 3 (5-6) ◽  
pp. 321-327 ◽  
Author(s):  
M. Gallenkemper ◽  
T. Wintgens ◽  
T. Melin
Keyword(s):  
Wastewater Treatment ◽  
Municipal Wastewater ◽  
Wastewater Treatment Plants ◽  
Endocrine Disrupting Compounds ◽  
Municipal Wastewater Treatment ◽  
Water And Wastewater Treatment ◽  
Wide Range ◽  
Endocrine Disrupting ◽  
Municipal Wastewater Treatment Plants ◽  
Set Up

Endocrine disrupting compounds can affect the hormone system in organisms. A wide range of endocrine disrupters were found in sewage and effluents of municipal wastewater treatment plants. Toxicological evaluations indicate that conventional wastewater treatment plants are not able to remove these substances sufficiently before disposing effluent into the environment. Membrane technology, which is proving to be an effective barrier to these substances, is the subject of this research. Nanofiltration provides high quality permeates in water and wastewater treatment. Eleven different nanofiltration membranes were tested in the laboratory set-up. The observed retention for nonylphenol (NP) and bisphenol A (BPA) ranged between 70% and 100%. The contact angle is an indicator for the hydrophobicity of a membrane, whose influence on the permeability and retention of NP was evident. The retention of BPA was found to be inversely proportional to the membrane permeability.

Automatic buffer capacity based sensor for effluent quality monitoring

1996 ◽  
Vol 33 (1) ◽  
pp. 81-87
Author(s):  
L. Van Vooren ◽  
P. Willems ◽  
J. P. Ottoy ◽  
G. C. Vansteenkiste ◽  
W. Verstraete
Keyword(s):  
Wastewater Treatment ◽  
Buffer Capacity ◽  
Wastewater Treatment Plants ◽  
Data Interpretation ◽  
Full Scale ◽  
Quality Monitoring ◽  
Effluent Quality ◽  
Capacity Curves ◽  
On Line

The use of an automatic on-line titration unit for monitoring the effluent quality of wastewater plants is presented. Buffer capacity curves of different effluent types were studied and validation results are presented for both domestic and industrial full-scale wastewater treatment plants. Ammonium and ortho-phosphate monitoring of the effluent were established by using a simple titration device, connected to a data-interpretation unit. The use of this sensor as the activator of an effluent quality proportional sampler is discussed.

Screening priority indicator pollutants in full-scale wastewater treatment plants by non-target analysis

2021 ◽  
Vol 414 ◽  
pp. 125490
Author(s):  
Yuli Qian ◽  
Xuebing Wang ◽  
Gang Wu ◽  
Liye Wang ◽  
Jinju Geng ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
Wastewater Treatment Plants ◽  
Full Scale ◽  
Target Analysis

An investigation into studying of the activated sludge foaming potential by using physicochemical parameters

2002 ◽  
Vol 46 (1-2) ◽  
pp. 525-528 ◽  
Author(s):  
K. Hladikova ◽  
I. Ruzickova ◽  
P. Klucova ◽  
J. Wanner
Keyword(s):  
Wastewater Treatment ◽  
Activated Sludge ◽  
Physicochemical Parameters ◽  
Wastewater Treatment Plants ◽  
Physicochemical Characteristics ◽  
Full Scale ◽  
Aeration Tank ◽  
Foam Formation ◽  
Individual Parameter

This paper examines how the physicochemical characteristics of the solids are related to foam formation and describes how the foaming potential of full-scale plants can be assessed. The relations among activated sludge and biological foam hydrophobicity, scum index, aeration tank cover and filamentous population are evaluated. Individual parameter comparison reveals the scumming intensity can be estimated only on the assumption that foams is already established. None of the above mentioned characteristics can be reliably used to predict the foaming episodes at wastewater treatment plants.

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