scholarly journals Intelligent System for the Predictive Analysis of an Industrial Wastewater Treatment Process

2020 ◽  
Vol 12 (16) ◽  
pp. 6348
Author(s):  
Luis Arismendy ◽  
Carlos Cárdenas ◽  
Diego Gómez ◽  
Aymer Maturana ◽  
Ricardo Mejía ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
Intelligent System ◽  
Treatment Plant ◽  
Oxygen Demand ◽  
Process Variable ◽  
Percentage Error ◽  
Wastewater Treatment Process ◽  
System A ◽  
Regulatory Standards ◽  
Control And Management

Considering the exponential growth of today’s industry and the wastewater results of its processes, it needs to have an optimal treatment system for such effluent waters to mitigate the environmental impact generated by its discharges and comply with the environmental regulatory standards that are progressively increasing their demand. This leads to the need to innovate in the control and management information systems of the systems responsible to treat these residual waters in search of improvement. This paper proposes the development of an intelligent system that uses the data from the process and makes a prediction of its behavior to provide support in decision making related to the operation of the wastewater treatment plant (WWTP). To carry out the development of this system, a multilayer perceptron neural network with 2 hidden layers and 22 neurons each is implemented, together with process variable analysis, time-series decomposition, correlation and autocorrelation techniques; it is possible to predict the chemical oxygen demand (COD) at the input of the bioreactor with a one-day window and a mean absolute percentage error (MAPE) of 10.8%, which places this work between the adequate ranges proposed in the literature.

scholarly journals A Prescriptive Intelligent System for an Industrial Wastewater Treatment Process: Analyzing pH as a First Approach

2021 ◽  
Vol 13 (8) ◽  
pp. 4311
Author(s):  
Luis Arismendy ◽  
Carlos Cárdenas ◽  
Diego Gómez ◽  
Aymer Maturana ◽  
Ricardo Mejía ◽  
...  
Keyword(s):  
Decision Making ◽  
Genetic Algorithms ◽  
Wastewater Treatment ◽  
Short Term Memory ◽  
Intelligent System ◽  
Treatment Plant ◽  
Oxygen Demand ◽  
Wastewater Treatment Process ◽  
Goods And Services ◽  
The Right

An important issue today for industries is optimizing their processes. Therefore, it is necessary to make the right decisions to carry out these activities, such as increasing the profit of businesses, improving the commercial strategies, and analyzing the industrial processes performance to produce better goods and services. This work proposes an intelligent system approach to prescribe actions and reduce the chemical oxygen demand (COD) in an equalizer tank of a wastewater treatment plant (WWTP) using machine learning models and genetic algorithms. There are three main objectives of this data-driven decision-making proposal. The first is to characterize and adapt a proper prediction model for the decision-making scheme. The second is to develop a prescriptive intelligent system based on expert’s rules and the selected prediction model’s outcomes. The last is to evaluate the system performance. As a novelty, this research proposes the use of long short-term memory (LSTM) artificial neural networks (ANN) with genetic algorithms (GA) for optimization in the WWTP area.

Dielectric barrier discharge-based investigation and analysis of wastewater treatment and pollutant removal

2016 ◽  
Vol 73 (12) ◽  
pp. 2858-2867 ◽  
Author(s):  
N. Ramdani ◽  
A. Lousdad ◽  
A. Tilmatine ◽  
S. Nemmich
Keyword(s):  
Wastewater Treatment ◽  
Dielectric Barrier Discharge ◽  
Barrier Discharge ◽  
Treatment Plant ◽  
Oxygen Demand ◽  
Oxidation Potential ◽  
Pollutant Removal ◽  
High Rate ◽  
Wastewater Treatment Process ◽  
Dielectric Barrier

Abstract Current research reveals that the oxidation by ozone is considered as an effective solution and offers irrefutable advantages in wastewater treatment. It is also well known that ozone is used to treat different types of water due to its effectiveness in water purification and for its oxidation potential. This process of ozonation is becoming progressively an alternative technology and is inscribed in a sustainable development perspective in Algeria. In this regards, the present paper investigates the wastewater treatment process by ozone produced by dielectric barrier discharge (DBD) under high potential. Three (DBD) ozone generators of cylindrical form have been used, at a laboratory scale, for treating collected samples from the wastewater treatment plant (WWTP) of the city of Sidi-Bel-Abbes located in the west of Algeria. Our experimental results reveal the efficiency of this type of treatment on the basis of the physicochemical analysis (pH, turbidity, chemical oxygen demand, biological oxygen demand, heavy metals) and microbial analysis downstream of the WWTP, which showed a high rate of elimination of all the parameters.

scholarly journals Evaluation of the efficiency of selected wastewater treatment plant

2012 ◽  
Vol 60 (1) ◽  
pp. 173-180
Author(s):  
Tomáš Vítěz ◽  
Jana Ševčíková ◽  
Petra Oppeltová
Keyword(s):  
Wastewater Treatment ◽  
Wastewater Treatment Plant ◽  
Suspended Solids ◽  
Inorganic Nitrogen ◽  
Treatment Plant ◽  
Oxygen Demand ◽  
Ammonia Nitrogen ◽  
Total Efficiency ◽  
Treatment Efficiency ◽  
Wastewater Treatment Process

This paper is focused on primary, secondary, and total efficiency evaluation of the wastewater treatment process for chosen small wastewater treatment plant (WWTP) located near the Moravian Karst. Eight wastewater samples were taken during one year in three sampling profiles of WWTP: biochemical oxygen demand (BOD), chemical oxygen demand (COD), suspended solids (SS), pH, ammonia nitrogen (N-NH4), nitrite nitrogen (N-NO2), nitrate nitrogen (N-NO3), inorganic nitrogen (Ninorg), total phosphorus (Ptotal). Treatment efficiency by reduction was calculated for all laboratory analyzed indicators and average values were determined for the whole period. Calculated treatment efficiency of indicators BOD, COD and suspended solids was compared with the permissible minimum treatment efficiency of discharged waste water by Government Regulation No. 61/2003 Coll., for the WWTP from 500 to 2 000 PE. Permissible minimum treatment efficiency is not legislatively determined for the primary and secondary level. The results of the work will be used especially to compare results with other similar works.Analyzed values ​​of parameters BOD, COD, suspended solids, N-NH4 at the outflow from wastewater treatment plant were compared with the permissible maximum values at the outflow of the WWTP which the municipality has an obligation to respect according to the decision issued by the District Environment Authority.

Effect of the rotifer Lecane inermis, a potential sludge bulking control agent, on process parameters in a laboratory-scale SBR system

2013 ◽  
Vol 68 (9) ◽  
pp. 2012-2018 ◽  
Author(s):  
Wioleta Kocerba-Soroka ◽  
Edyta Fiałkowska ◽  
Agnieszka Pajdak-Stós ◽  
Mateusz Sobczyk ◽  
Małgorzata Pławecka ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
Treatment Process ◽  
Sewage Treatment ◽  
Treatment Plant ◽  
Oxygen Demand ◽  
Control Agent ◽  
Batch Reactors ◽  
Activated Sludge Process ◽  
Filamentous Bacteria ◽  
Wastewater Treatment Process

The influence of a high density of rotifers, which is known to be able to control filamentous bacteria, on the parameters of an activated sludge process was examined in four professional laboratory batch reactors. These reactors allow the imitation of the work of a wastewater treatment plant with enhanced nutrient removal. The parameters, including oxygen concentration, pH and temperature, were constantly controlled. The experiment showed that Lecane rotifers are able to proliferate in cyclically anaerobic/anoxic and aerobic conditions and at dissolved oxygen concentrations as low as 1 mg/L. In 1 week, rotifer density increased fivefold, exceeding the value of 2,200 ind./mL. The grazing activity led to an improvement in settling properties. Extremely high numbers of rotifers did not affect the main parameters, chemical oxygen demand (COD), N-NH4, N-NO3, P-PO4 and pH, during sewage treatment. Therefore, the use of rotifers as a tool to limit the growth of filamentous bacteria appears to be safe for the entire wastewater treatment process.

scholarly journals Evaluation of Fecal Coliform Prevalence and Physicochemical Indicators in the Effluent from a Wastewater Treatment Plant in the North-West Province, South Africa

2020 ◽  
Vol 17 (17) ◽  
pp. 6381 ◽  
Author(s):  
Stenly Makuwa ◽  
Matsobane Tlou ◽  
Elvis Fosso-Kankeu ◽  
Ezekiel Green
Keyword(s):  
Wastewater Treatment ◽  
Wastewater Treatment Plants ◽  
Treatment Plant ◽  
Oxygen Demand ◽  
Microbial Pathogens ◽  
Toxic Heavy Metals ◽  
North West ◽  
The North ◽  
Regulatory Standards ◽  
Final Effluent

Compliance of the effluents from wastewater treatment plants (WWTPs) to the regulatory standards, which mostly entail the removal/reduction of organic waste and deactivation of the potential microbial pathogens is of great importance. The detection of indicator parameters can be used to determine the effectiveness of a WWTP and the level of compliance with the South African regulatory standards. The performance of the WWTP was assessed by biological, physical and chemical measures in wastewater final effluent. The Escherichia coli ranged from 0 and 2420 count/100 mL in the final effluent. The recorded values for the physicochemical parameters were within the following ranges: pH (7.03–8.49), electrical conductivity (81.63–126.5 mS/m), suspended solids (0.40–20.4 mg/L), ammonia (0–22.15 mg/L), Chemical Oxygen Demand (COD) (1–73 mg/L), nitrate (0–16.1 mg/L), ortho-phosphate (0–8.58 mg/L) and free chlorine (0–3.21 mg/L). Furthermore, the concentration of toxic heavy metals was recorded to be between 1–10 ug/L for arsenic, cadmium, lead and mercury. In conclusion, all the parameters that were evaluated in this study indicate that the studied WWTP is performing in accordance with the prescribed general limits.

Coupling ASM3 and ADM1 for wastewater treatment process optimisation and biogas production in a developing country: case-study Surat, India

2013 ◽  
Vol 3 (1) ◽  
pp. 12-25 ◽  
Author(s):  
Carlos M. Lopez-Vazquez ◽  
Mayank Mithaiwala ◽  
Moustafa S. Moussa ◽  
Mark C. M. van Loosdrecht ◽  
Damir Brdjanovic
Keyword(s):  
Wastewater Treatment ◽  
Biogas Production ◽  
Treatment Plant ◽  
Oxygen Demand ◽  
High Strength ◽  
Plant Performance ◽  
Process Optimisation ◽  
Wastewater Treatment Process ◽  
Satisfactory Description ◽  
Country Case Study

The overall performance of the Anjana wastewater treatment plant (WWTP) located in Surat, India, was assessed by coupling the Activated Sludge Model No. 3 (ASM3) and the Anaerobic Digestion Model No. 1 (ADM1). Guidelines developed by the Dutch Foundation for Applied Water Research (STOWA) were successfully applied for the determination of wastewater characteristics. Concerning the fractionation of primary and secondary sludge, the approach proved to be adequate for the application of ADM1. A satisfactory description of the performance of the plant was obtained in terms of effluent quality, biogas generation and sludge production. This was achieved through coupling ASM3 with ADM1 and adjusting four default values (the growth of autotrophic bacteria from 1 to 0.46 day−1, influent fraction of unbiodegradable particulate chemical oxygen demand (COD) to 0.14 gCOD/gCOD, and the anaerobic disintegration factors for soluble and particulate unbiodegradable COD in ADM1 to 0.01 and 0.29 gCOD/gCOD, respectively). The model was applied to optimise the plant performance and to assess the potential influence of the return of high strength reject effluents through the implementation of an ADM1-ASM3 interface. This study underlines the feasibility, advantages and benefits of mathematical modelling as a reliable tool for process optimisation, plant upgrade and resource recovery in developing countries.

scholarly journals Soft Sensor Modeling of Key Effluent Parameters in Wastewater Treatment Process Based on SAE-NN

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Yousuf Babiker M. Osman ◽  
Wei Li
Keyword(s):  
Wastewater Treatment ◽  
Research Work ◽  
Treatment Plant ◽  
Oxygen Demand ◽  
Soft Sensor ◽  
Stochastic Gradient Descent ◽  
Wastewater Treatment Process ◽  
Sensor Model ◽  
Stacked Autoencoders ◽  
Hidden Layer

Real-time measurements of key effluent parameters play a highly crucial role in wastewater treatment. In this research work, we propose a soft sensor model based on deep learning which combines stacked autoencoders with neural network (SAE-NN). Firstly, based on experimental data, the secondary variables (easy-to-measure) which have a strong correlation with the biochemical oxygen demand (BOD5) are chosen as model inputs. Moreover, stochastic gradient descent (SGD) is used to train each layer of SAE to optimize weight parameters, while a strategy of genetic algorithms to identify the number of neurons in each hidden layer is developed. A soft sensor model is studied to predict the BOD5 in a wastewater treatment plant to evaluate the proposed approach. Interestingly, the experimental results show that the proposed SAE-NN-based soft sensor has a better performance in prediction than the current common methods.

Integrated modelling: comparison of state variables, processes and parameters in sewer and wastewater treatment plant models

1997 ◽  
Vol 36 (5) ◽  
pp. 373-380 ◽  
Author(s):  
C. Fronteau ◽  
W. Bauwens ◽  
P.A. Vanrolleghem
Keyword(s):  
Wastewater Treatment ◽  
Wastewater Treatment Plant ◽  
Treatment Plant ◽  
Drainage System ◽  
Integrated Modelling ◽  
Urban Drainage ◽  
State Variables ◽  
Sewer System ◽  
Wastewater Treatment Process ◽  
Urban Drainage System

All the parts of an urban drainage system, i.e. the sewer system, the wastewater treatment plant (WWTP) and the river, should be integrated into one single model to assess the performance of the overall system and for the development of design and control strategies assisting in its sustainable and cost effective management. Existing models for the individual components of the system have to be merged in order to develop the integrated tool. One of the problems arising from this methodology is the incompatibility of state variables, processes and parameters used in the different modelling approaches. Optimisation of an urban drainage system, and of the wastewater treatment process in particular, requires a good knowledge of the wastewater composition. As important transformations take place between the emission from the household and the arrival at the treatment facility, sewer models should include these transformations in the sewer system. At present, however, research is still needed in order to increase our knowledge of these in-sewer processes. A comparison of the state variables, processes and parameters has been carried out in both sewer models (SMs) and activated sludge models (ASMs). An ASM approach is used for the description of reactions in sewer models. However, a difference is found in the expression for organic material (expressed in terms of BOD) and heterotrophic biomass is absent as a state variable, resulting in differences in processes and parameters. Reconciliation of both the models seems worthwhile and a preliminary solution is suggested in this paper.

Savings with upgraded performance through improved activated sludge denitrification in the combined activated sludge–biofilter system of the Southpest Wastewater Treatment Plant

2008 ◽  
Vol 57 (8) ◽  
pp. 1287-1293 ◽  
Author(s):  
A. Jobbágy ◽  
G. M. Tardy ◽  
Gy. Palkó ◽  
A. Benáková ◽  
O. Krhutková ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
Activated Sludge ◽  
Wastewater Treatment Plant ◽  
Biological Treatment ◽  
Treatment Plant ◽  
Oxygen Demand ◽  
Process Efficiency ◽  
Initial Value ◽  
Initial Profile ◽  
Biological Treatment System

The purpose of the experiments was to increase the rate of activated sludge denitrification in the combined biological treatment system of the Southpest Wastewater Treatment Plant in order to gain savings in cost and energy and improve process efficiency. Initial profile measurements revealed excess denitrification capacity of the preclarified wastewater. As a consequence, flow of nitrification filter effluent recirculated to the anoxic activated sludge basins was increased from 23,000 m3 d−1 to 42,288 m3 d−1 at an average preclarified influent flow of 64,843 m3 d−1, Both simulation studies and microbiological investigations suggested that activated sludge nitrification, achieved despite the low SRT (2–3 days), was initiated by the backseeding from the nitrification filters and facilitated by the decreased oxygen demand of the influent organics used for denitrification. With the improved activated sludge denitrification, methanol demand could be decreased to about half of the initial value. With the increased efficiency of the activated sludge pre-denitrification, plant effluent COD levels decreased from 40–70 mg l−1 to < 30–45 mg l−1 due to the decreased likelihood of methanol overdosing in the denitrification filter

Evaluating the treatment performance of a full scale Activated Sludge Plant in Islamabad, Pakistan

2012 ◽  
Vol 7 (1) ◽  
Author(s):  
S. S. Fatima ◽  
S. Jamal Khan
Keyword(s):  
Wastewater Treatment ◽  
Activated Sludge ◽  
Wastewater Treatment Plant ◽  
Suspended Solids ◽  
Treatment Plant ◽  
Oxygen Demand ◽  
Full Scale ◽  
Operational Parameter ◽  
Mixed Liquor ◽  
Treatment Performance

In this study, the performance of wastewater treatment plant located at sector I-9 Islamabad, Pakistan, was evaluated. This full scale domestic wastewater treatment plant is based on conventional activated sludge process. The parameters which were monitored regularly included total suspended solids (TSS), mixed liquor suspended solids (MLSS), mixed liquor volatile suspended solids (MLVSS), biological oxygen demand (BOD), and chemical oxygen demand (COD). It was found that the biological degradation efficiency of the plant was below the desired levels in terms of COD and BOD. Also the plant operators were not maintaining consistent sludge retention time (SRT). Abrupt discharge of MLSS through the Surplus Activated sludge (SAS) pump was the main reason for the low MLSS in the aeration tank and consequently low treatment performance. In this study the SRT was optimized based on desired MLSS concentration between 3,000–3,500 mg/L and required performance in terms of BOD, COD and TSS. This study revealed that SRT is a very important operational parameter and its knowledge and correct implementation by the plant operators should be mandatory.

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