Surrogate-Based Correlation Models in View of Real-Time Control of Ozonation of Secondary Treated Municipal Wastewater—Model Development and Dynamic Validation

2017 ◽  
Vol 51 (24) ◽  
pp. 14233-14243 ◽  
Author(s):  
Michael Chys ◽  
Wim T. M. Audenaert ◽  
Emma Deniere ◽  
Séverine Thérèse F. C. Mortier ◽  
Herman Van Langenhove ◽  
...  
1999 ◽  
Vol 39 (2) ◽  
pp. 159-168 ◽  
Author(s):  
J. Milina ◽  
S. Sægrov ◽  
J. Lei ◽  
A. König ◽  
O. Nilssen ◽  
...  

This paper describes some results of an integrated model development and its application to the Høvringen wastewater system in Trondheim, Norway. Major model development needs concern the integration of sewage production, transport and treatment simulation, the interface with existing databases and the possibility of simulating processes that are controlled in real time. The developed integrated model has been used to design the treatment process as well as static and dynamic measures in both the catchment and the sewer system. These measures include extended pumping, adjustment of overflows, separation of storm water runoff from “non-effective separate systems”, retention and real-time control of the sewer tunnel volume.


2007 ◽  
Vol 41 (23) ◽  
pp. 8159-8164 ◽  
Author(s):  
Qing Yang ◽  
Yongzhen Peng ◽  
Xiuhong Liu ◽  
Wei Zeng ◽  
Takashi Mino ◽  
...  

1994 ◽  
Vol 29 (1-2) ◽  
pp. 419-426 ◽  
Author(s):  
P. Harremoës ◽  
T. Hvitved-Jacobsen ◽  
A. Lynggaard-Jensen ◽  
B. Nielsen

A city and several companies joined in a large scale project with the aim to introduce real time control of the sewer system and the wastewater treatment plant. The basic goals were established from the receiving water studies, and essentially represent constraints on the total nutrient discharge causing eutrophication of a fjord and limits on oxygen depletion by combined sewer overflows in the small upstream rivers. The paper describes the basic principles and approaches for the real time control in urban wastewater systems.


2010 ◽  
Vol 61 (9) ◽  
pp. 2325-2332 ◽  
Author(s):  
Ma Juan ◽  
Peng Chengyao ◽  
Wang Li ◽  
Wang Shuying ◽  
Liu Yang ◽  
...  

The performance of a 18 L step-feed cyclic activated sludge technology (CAST) combined with real-time control treating real municipal wastewater was evaluated. The operation strategies employed pH and oxidation reduction potential (ORP) as on-line control parameters, which can control the durations of oxic and anoxic phases flexibly. The obtained results showed that the studied process had achieved advanced and enhanced nitrogen removal by several phases of consecutive oxic/anoxic periods. Total nitrogen in effluent was lower than 2 mg/L and the average TN removal efficiency was higher than 98%, while only requiring small amount of external carbon source. Unexpected characteristic points in pH and ORP profiles denoting the depletion of nitrate were also observed during the last anoxic phase. Denitrification rate was found to be more dependent on the system temperature compared to nitrification rate. Moreover, a stable and efficient phosphorus removal rate above 90% was achieved by using step-feed strategy which enabled the influent carbon source to be fully used and the favourable condition for phosphorus releasing to be created during the anoxic phases.


1984 ◽  
Vol 16 (5-7) ◽  
pp. 419-434
Author(s):  
Hilary Dexter ◽  
James Petch

This paper deals with the problems of using the River Jordan as a source of irrigation water for agricultural settlements in the area between Lake Kinneret and the Dead Sea. The river is polluted by chlorides from salt springs and the levels are very variable. A forecasting model for chlorides is proposed which will operate with a real-time system in order to minimize loads applied to crops. The Box-Jenkins methodology is shown to provide a suitable model with the severe constraints of data availability. The statistical and operational success of the model are examined for forecasts at one abstraction point on the Jordan. Model development continues.


2017 ◽  
Vol 76 (1) ◽  
pp. 236-246 ◽  
Author(s):  
Michael Chys ◽  
Kristof Demeestere ◽  
Ange Sabine Ingabire ◽  
Jan Dries ◽  
Herman Van Langenhove ◽  
...  

Ozonation and three (biological) filtration techniques (trickling filtration (TF), slow sand filtration (SSF) and biological activated carbon (BAC) filtration) have been evaluated in different combinations as tertiary treatment for municipal wastewater effluent. The removal of 18 multi-class pharmaceuticals, as model trace organic contaminants (TrOCs), has been studied. (Biological) activated carbon filtration could reduce the amount of TrOCs significantly (>99%) but is cost-intensive for full-scale applications. Filtration techniques mainly depending on biodegradation mechanisms (TF and SSF) are found to be inefficient for TrOCs removal as a stand alone technique. Ozonation resulted in 90% removal of the total amount of quantified TrOCs, but a post-ozonation step is needed to cope with an increased unselective toxicity. SSF following ozonation showed to be the only technique able to reduce the unselective toxicity to the same level as before ozonation. In view of process control, innovative correlation models developed for the monitoring and control of TrOC removal during ozonation, are verified for their applicability during ozonation in combination with TF, SSF or BAC. Particularly for the poorly ozone reactive TrOCs, statistically significant models were obtained that correlate TrOC removal and reduction in UVA254 as an online measured surrogate parameter.


1995 ◽  
Vol 34 (05) ◽  
pp. 475-488
Author(s):  
B. Seroussi ◽  
J. F. Boisvieux ◽  
V. Morice

Abstract:The monitoring and treatment of patients in a care unit is a complex task in which even the most experienced clinicians can make errors. A hemato-oncology department in which patients undergo chemotherapy asked for a computerized system able to provide intelligent and continuous support in this task. One issue in building such a system is the definition of a control architecture able to manage, in real time, a treatment plan containing prescriptions and protocols in which temporal constraints are expressed in various ways, that is, which supervises the treatment, including controlling the timely execution of prescriptions and suggesting modifications to the plan according to the patient’s evolving condition. The system to solve these issues, called SEPIA, has to manage the dynamic, processes involved in patient care. Its role is to generate, in real time, commands for the patient’s care (execution of tests, administration of drugs) from a plan, and to monitor the patient’s state so that it may propose actions updating the plan. The necessity of an explicit time representation is shown. We propose using a linear time structure towards the past, with precise and absolute dates, open towards the future, and with imprecise and relative dates. Temporal relative scales are introduced to facilitate knowledge representation and access.


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