Comparison of biological removal via nitrite with real-time control using aerobic granular sludge and flocculent activated sludge

2010 ◽  
Vol 89 (5) ◽  
pp. 1645-1652 ◽  
Author(s):  
Dawen Gao ◽  
Xiangjuan Yuan ◽  
Hong Liang ◽  
Wei-Min Wu
2010 ◽  
Author(s):  
Xiangjuan Yuan ◽  
Dawen Gao ◽  
Fangming Jin ◽  
Qi Zhou ◽  
Bing Wu

2008 ◽  
Vol 58 (2) ◽  
pp. 445-450 ◽  
Author(s):  
N. Kishida ◽  
S. Tsuneda ◽  
Y. Sakakibara ◽  
J. H. Kim ◽  
R. Sudo

To achieve stable and simultaneous removal of nitrogen and phosphorus using aerobic granular sludge in a sequencing batch reactor, a real-time control strategy was established, where time derivatives of electric conductivity (EC) and pH were monitored to facilitate the determinations of ends of phosphate release, nitrification and denitrification as well as corresponding optimum time-lengths of anaerobic, oxic, and anoxic phases in treatment cycles. Although biomass concentration in a reactor drastically fluctuated at the startup period because of very short sludge settling time for the formation of aerobic granular sludge, cycle length for proper treatment was automatically adjusted in this control system. Even when characteristics of influent wastewater markedly fluctuated, stable nitrogen and phosphorus removal was successfully attained both before and at pseudo-steady-state. Effluent concentrations of NH4-N, NOx-N and PO4-P were always lower than 0.3 mg/L. On the other hand, when time lengths of the anaerobic/oxic/anoxic phases were fixed, stable nitrogen and phosphorus removal was not accomplished. Therefore, it is clear that the designed control system is very effective to obtain stable treatment performance in simultaneous nitrogen and phosphorus removal by aerobic granular sludge.


2010 ◽  
Vol 61 (9) ◽  
pp. 2169-2175 ◽  
Author(s):  
A. Thornton ◽  
N. Sunner ◽  
M. Haeck

The use of the activated sludge process (ASP) for the nitrification/denitrification of wastewaters is commonplace throughout the UK and many other parts of the industrial world. Associated with this process are significant costs arising from aeration requirements and for selected sites, the need to provide an external carbon source. These costs can constitute up to of 50% of the total running cost of the whole plant and as such, any effort to reduce them could realise significant benefits. This paper investigates the use of real time control (RTC) using online sensors and control algorithms to optimise the operation of the ASP, leading to greater efficiency and sustainability. Trials were undertaken at full scale to assess the benefit of such a system at a 250,000 population equivalent (PE) works on the south coast of the UK, using Activated sludge model No.1 (ASM 1) as a basis for the control system. Initial results indicate that it is possible to significantly reduce both aeration and chemical consumption costs whilst still delivering the required effluent quality. Over the trial period the aeration requirements were consistently reduced by 20% whereas, a reduction in methanol consumption of in excess of 50% was observed.


2012 ◽  
Vol 2012 (10) ◽  
pp. 5570-5588
Author(s):  
Narinder Sunner ◽  
Michael Haeck ◽  
Andrew Thornton

2009 ◽  
Vol 2009 (8) ◽  
pp. 6979-6997
Author(s):  
Narinder Sunner ◽  
Michael Haeck ◽  
Andrew Thornton

1979 ◽  
Vol 105 (2) ◽  
pp. 245-260
Author(s):  
Michael K. Stenstrom ◽  
John F. Andrews

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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