Application of computational intelligence for on-line control of a sequencing batch reactor (SBR) at Morrinsville sewage treatment plant

1997 ◽  
Vol 35 (10) ◽  
pp. 63-71 ◽  
Author(s):  
A. Cohen ◽  
G. Janssen ◽  
S. D. Brewster ◽  
R. Seeley ◽  
A. A. Boogert ◽  
...  
Keyword(s):  
Control System ◽  
Batch Reactor ◽  
Sewage Treatment ◽  
Back Propagation ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Back Propagation Neural Network ◽  
Operating Conditions ◽  
Cycle Duration ◽  
Hydraulic Load

Morrinsville Sewage Treatment Plant has recently been upgraded to an Extended Aeration SBR. The plant needs to comply with stringent discharge requirements despite the variations in organic and hydraulic load caused by tradewaste discharges and stormwater infiltration. Effluent data from a nearby dairy factory is transmitted to the treatment plant by radio and processed by a back propagation neural network trained to correlate the data with the corresponding BOD. BOD oxidation, nitrification and denitrification rate constants are estimated by fuzzy systems as function of temperature and MLVSS. Output data generated by the model are used to assist control of SBR cycle duration, sludge wasting, and temporary storage of excessive load in a lagoon. The model does not pretend to provide an accurate description of the process, nor a fully optimised control system, but rather a common-sense approach to the very challenging operating conditions. This is a plant receiving a low level of supervision and it is expected that the control system will improve process performance and compliance with discharge requirements.

Intelligent Control of Flocculation Process Based on Radial Basis Probabilistic Neural Network for Sewage Treatment

2010 ◽  
Vol 44-47 ◽  
pp. 3289-3293
Author(s):  
Jing Wen Tian ◽  
Mei Juan Gao
Keyword(s):  
Neural Network ◽  
Control System ◽  
Process Model ◽  
Probabilistic Neural Network ◽  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Least Square ◽  
Radial Basis ◽  
Flocculation Process

The flocculating process of sewage treatment is a complicated and nonlinear system, and it is very difficult to found the process model to describe it. The radial basis probabilistic neural network (RBPNN) has the ability of strong function approach and fast convergence. In this paper, an intelligent optimized control system based on radial basis probabilistic neural network is presented. We constructed the structure of radial basis probabilistic neural network that used for controlling the flocculation process, and adopt the K-Nearest Neighbor algorithm and least square method to train the network. We given the architecture of control system and analyzed the working process of system. In this system, the parameters of flocculation process were measured using sensors, and then the control system can control the flocculation process real-time. The system was used in the sewage treatment plant. The experimental results prove that this system is feasible.

Performance of family-size sequencing batch reactor and rotating biological contactor units treating sewage at various operating conditions

2000 ◽  
Vol 41 (1) ◽  
pp. 97-104 ◽  
Author(s):  
J.C. Akunna ◽  
C. Jefferies
Keyword(s):  
Total Phosphorus ◽  
Sequencing Batch Reactor ◽  
Batch Reactor ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Ammonia Nitrogen ◽  
Operating Conditions ◽  
The Other ◽  
Rotating Biological Contactor ◽  
Effluent Quality

Field trials were carried out using two types of package units designed for the treatment of domestic sewage from individual households. One of the units was a commercially available rotating biological contactor (RBC) system. The other was a newly developed sequencing batch reactor (SBR) system. Trials were carried at the site of a local sewage treatment plant where degritted raw sewage from a combined sewerage network was fed to the two units for a period of four months. Both units produced good effluent quality, well below 20/30 (BOD/SS) during steady-state performance. However, shorter start-up time was observed with the SBR unit together with better effluent quality (up to BOD<10 mg/l and SS<15 mg/l). Furthermore, the SBR unit produced effluents with ammonia nitrogen and total phosphorus levels of 3 mg/l and 2 mg/l respectively, for influent levels that varied from 20 to 60 mg N-NH3/l and from 15 to 17 mg/l of total phosphorus. On the other hand, significant nutrient removal did not seem tohave occurred in the RBC unit. During testing to meet the requirements of British Standard (BS 6297), it was observed that the SBR can tolerate shockloads and periods following zero flow better than the RBC unit.

Design of Sewage Treatment Automated Control System

2014 ◽  
Vol 644-650 ◽  
pp. 639-641
Author(s):  
Yun Hong
Keyword(s):  
Control System ◽  
Closed System ◽  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Process Equipment ◽  
Automation System ◽  
Automated Control ◽  
Automated Control System ◽  
Plant Automation

Advanced fieldbus technology has solved the DCS system of communication caused by special network of the closed system defects, the closed, proprietary solutions into the open, standardized solution.Therefore, in this paper, according to the technological process in sewage treatment plant, combining with the distribution and characteristics of process equipment, the overall structure of the design of the sewage treatment plant automation system, and the overall structure of each component has carried on the detailed analysis and research.

The Automatic Control System Based on PROFIBUS for the City Sewage Treatment

2013 ◽  
Vol 385-386 ◽  
pp. 857-861
Author(s):  
Xiao Ping Huang ◽  
Qi Xing Qing
Keyword(s):  
Control System ◽  
Automatic Control ◽  
Automatic Control System ◽  
Fuzzy Controller ◽  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Difficult Problem ◽  
Urban Sewage ◽  
Treated Sewage

On the basis of the computerized technological process control of sewage treatment in a urban sewage treatment plant in the Zone of Nanning, the author had brought forward a plan of PROFIBUS that based on automatic control system for sewage treatment, and designed the automatic control system diagram and the PROFIBUS network diagram for sewage treatment plant. At the same time, the author also made a study of techniques to control the sewage aeration, which was the most difficult problem in sewage treatment process. The fuzzy controller could indicate the changes of the water quality in treated sewage, effectively controlled the volume of aeration and then cut down the operation costs,it had produced good economic and social benefits.

Frequency Constant Pressure Control System Based on PLC

2013 ◽  
Vol 579-580 ◽  
pp. 798-803
Author(s):  
Qi Zhu ◽  
Zhi Wen Feng
Keyword(s):  
Wastewater Treatment ◽  
Control System ◽  
Constant Pressure ◽  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Pressure Control ◽  
Pipe Network ◽  
Pumping Station ◽  
Pressure Control System

Sewage pumping station is pumping station import at the sewage treatment plant. Its role is to collect the wastewater from the sewage pipe network to subsequent wastewater treatment process facilities. The water level is usually low in sewage collection pipe network. And many wastewater treatment facilities is based on elevation settings. So it is necessary to use lift pump to improve lift of the collected sewage, using high gravity sewage errands subsequent process in order to reduce energy consumption. The traditional way of pumping generally has the shortcomings: the waste of power resources, low efficiency, poor reliability, low degree of automation, which seriously affects the urban sewage treatment capacity. This paper, views pump station control system at the sewage treatment plant as the background, researches frequency control constant pressure control system based on PLC, realizes the energy efficient, automated and reliable direction of development of the sewage pumping station.

Utilisation of Biogas From an Urban Sewage Treatment Plant in a Solid Oxide Fuel Cell

2010 ◽  
Author(s):  
Andrea Lanzini ◽  
Pierluigi Leone ◽  
Massimo Santarelli
Keyword(s):  
Sewage Treatment ◽  
Fixed Bed ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Cell Voltage ◽  
Operating Conditions ◽  
Fixed Bed Reactor ◽  
Urban Sewage ◽  
Anode Degradation ◽  
Anode Supported Cell

A biogas coming from anaerobic digestion of urban sewage has been used to feed a SOFC planar anode-supported cell. The sewage is produced from the urban area of Torino (IT), and eventually collected and treated by SMAT (the municipal company managing the potable and waste water of the city). The biogas is produced by the thermophilic fermentation of the sludge which remains after the several treatments the sewage goes through in the above-mentioned plant. The biogas is of a high quality: it has on average a a methane content around 65% (the balance being essentially CO2), and the only significant impurity measured is H2S in a range of 70–80 ppm. The as-produced biogas has been used for feeding a planar Ni-YSZ anode-supported SOFC with a LSCF cathode. The biogas desulphurization was accomplished flowing the gas in a fixed-bed reactor, filled with activated. The fuel processing with POX has been assessed to avoid carbon deposition into the Ni-YSZ anode and convert the CH4 into H2 and CO. Short tests to check for eventual anode degradation were performed under typical operating conditions. The cell voltage was always stable under load with the tested mixtures. A cell electrical efficiency around 45% has been measured at 800°C and 80% FU. System simulations have performed as well to assess the whole system configuration under a biogas feeding. Optimization routines have been implemented to predict the best net AC efficiency achievable by a SOFC system running on biogas. Additional considerations on the management of poor LHV biogas mixture have been also assessed, showing how dry-reforming of CH4 with the CO2 already available in the biogas stream would be an excellent option needed to be investigated with further detail in the next future.

Removal of phthalates and pharmaceuticals from municipal wastewater by graphene adsorption process

2016 ◽  
Vol 73 (9) ◽  
pp. 2268-2274 ◽  
Author(s):  
Gordon C. C. Yang ◽  
Pei-Ling Tang
Keyword(s):  
Emerging Contaminants ◽  
Municipal Wastewater ◽  
Adsorption Process ◽  
Phthalate Esters ◽  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Operating Conditions ◽  
Optimal Operating ◽  
Butyl Phthalate

In this work graphene was used for evaluation of its adsorption behavior and performance in removing phthalate esters and pharmaceuticals in municipal wastewater. Di-n-butyl phthalate (DnBP), di-(2-ethylhexyl) phthalate (DEHP), acetaminophen (ACE), caffeine (CAF), cephalexin (CLX), and sulfamethoxazole (SMX) were emerging contaminants (ECs) with detection frequencies over 92% in a one-year monitoring of the occurrence of ECs in influent samples of a sewage treatment plant in Taiwan. Thus, these ECs were selected as the target contaminants for removal by graphene adsorption process. Experimental results showed that the adsorption isotherm data were fitted well to Langmuir model equation. It was also found that the adsorption process obeyed the pseudo-second-order kinetics. A graphene dosage of 0.1 g/L and adsorption time of 12 h were found to be the optimal operating conditions for the ECs of concern in model solutions in a preliminary study. By using the determined optimal operating conditions for removal of such ECs in actual municipal wastewater, removal efficiencies for various ECs were obtained and given as follows: (1) DnBP, 89%, (2) DEHP, 86%, (3) ACE, 43%, (4) CAF, 84%, (5) CLX, 81%, and (6) SMX, 34%.

scholarly journals Efficiency of Sequential Batch Reactor (SBR) based sewage treatment plant and its discharge impact on Dal Lake, Jammu & Kashmir, India

2020 ◽  
Vol 5 (4) ◽  
pp. 517-524
Author(s):  
Mukesh Ruhela ◽  
Adil Ahmad Wani ◽  
Faheem Ahamad
Keyword(s):  
Removal Efficiency ◽  
Batch Reactor ◽  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Continuous Increase ◽  
Sequential Batch Reactor ◽  
Dal Lake ◽  
Confluence Zone ◽  
The Impact

Dal Lake is the second largest and most beautiful Lake in the state of Jammu and Kashmir and is the major centre of tourist activities. Due to the continuous increase in the population, the generation of domestic wastewater also increased. The present study was carried out to assess the efficiency of Sequential Batch Reactor (SBR) based Sewage Treatment Plant (STP) located at Brari Numbal and its discharge impact on the physicochemical properties of Dal Lake. The sample was collected from the selected sampling sites (inlet and outlet of SBR based STP, upstream, confluence zone, and downstream of Dal Lake) for five months (November 2019 to March 2020) and analysed using the standard methodologies. The plant shows maximum removal efficiency for BOD (79.85%) although the effluent BOD was found above the standard limit. The minimum removal efficiency of the plant was observed in the case of pH (3.46%). The gain in the case of DO was observed +851.55%. All the sites of Dal Lake were found polluted but the confluence zone and downstream were more polluted in comparison to the upstream due to the discharge of STP outlet into Dal Lake with higher BOD and COD (21.39% increase in BOD, 43.29% increase in COD; 80.10% increase in iron, 65.61% increase in ammonical nitrogen, and 101% increase in phosphate concentration). Besides this, discharge of the huge quantity of untreated wastewater from the city into the lake is also responsible for the degraded water quality of Dal Lake. It can be concluded that efficiency of the plant was in moderate condition and it needs further modifications. This is the first study showing the impact of SBR-STP effluent on Dal Lake.

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