scholarly journals Separation techniques for distillery stillage treatment

2011 ◽  
Vol 24 (No. 6) ◽  
pp. 261-267 ◽  
Author(s):  
K. Lapišová ◽  
R. Vlček ◽  
J. Klozová ◽  
M. Rychtera ◽  
K. Melzoch
Keyword(s):  
Treatment Process ◽  
Pore Diameter ◽  
Oxygen Demand ◽  
Ceramic Membranes ◽  
Energy Costs ◽  
Wastewater Treatment Process ◽  
Filtration Membranes ◽  
Discharge Water ◽  
Ultra Filtration

The separation of stillage was tested by means of the pilot plantARNO600-BIO using three-channel ceramic membranes with the pore diameter range from microfiltration to ultrafiltration (1.4 µm–5 kDa). The permeate from the last membrane step was able to be recycled as technological water. The best results were achieved in the arrangement of series using 0.2 µm membrane as the first step supplemented by ultra-filtration membranes (50 kDa and 15 kDa), predominantly, where the reduction of the chemical oxygen demand (COD) extended 80%. With this process, we try to get some advantages over the conventional process in terms of eliminating both land and energy costs for the wastewater treatment process and improving the quality of the discharge water. The main goal in this study is to analyse different separation steps and conditions to find both the best separation options for the decrease of the final volume of distillery stillage, and the way how to make the bio ethanol production more profitable.  

Comparison of F-specific bacteriophage, enterococci, and faecal coliform densities through a wastewater treatment process employing oxidation ponds

1995 ◽  
Vol 31 (5-6) ◽  
pp. 85-89 ◽  
Author(s):  
S. J. Turner ◽  
G. D. Lewis
Keyword(s):  
Wastewater Treatment ◽  
Treatment Process ◽  
Faecal Coliform ◽  
Indicator Organisms ◽  
Faecal Coliforms ◽  
Wastewater Treatment Process ◽  
Oxidation Pond ◽  
Oxidation Ponds ◽  
Specific Bacteriophage

Over a 12 month period F-specific bacteriophages, faecal coliforms and enterococci were compared as microbial indicator organisms for the quality of a wastewater treatment (oxidation pond) system. Results suggest that enterococci may be the most useful indicator for oxidation pond systems.

scholarly journals The role of a chemical loop in removal of hazardous contaminants from coke oven wastewater during its treatment

2019 ◽  
Vol 17 (1) ◽  
pp. 1288-1300
Author(s):  
Anna Kwiecińska-Mydlak ◽  
Marcin Sajdak ◽  
Katarzyna Rychlewska ◽  
Jan Figa
Keyword(s):  
Chemical Treatment ◽  
Treatment Process ◽  
Oxygen Demand ◽  
Coke Oven ◽  
Main Role ◽  
Biological Processes ◽  
Coal Processing ◽  
Wastewater Treatment Process ◽  
Iron Based

AbstractCoke oven liquor is one of the most contaminated liquid streams generated by the coal processing industry, thus its proper treatment and utilization is crucial for sustainable and environmentally neutral plant operation. The conventional wastewater treatment process comprises of chemical and biological processes. Within the current research the detailed role of chemical treatment is described. Commercially available iron-based coagulants (PIX100, PIX100COP, PIX113, PIX116) were tested to understand their removal efficiency and impact on the stream parameters. The influence of iron dose in the range of 300-500 mgFe/L on the process performance was also examined.It was found that the main role of chemical treatment was to bind toxicants harmful to activated sludge microorganisms, i.e. free and complex cyanides and sulphides. Among the tested iron-based conventional coagulants ferrous salts were more efficient than ferric salts. It was also observed that efficiency of the process strongly depended on wastewater properties (especially in regard to pH, which should be in the range of 9-10) and the coagulant selection needed to be done individually for a given wastewater type. The removal rates of particular contaminants were diversified and for free cyanides, complex cyanides and sulphides they were in the range of 23-91%, -156-77% and -357-98%, respectively. The expected, simultaneous removal of chemical oxygen demand (COD) during the treatment was not observed and even the parameter value increased after the process due to probable formation of compounds less vulnerable to oxidation.

Biomonitoring and its in the assessment of the quality of wastewater treatment process

2020 ◽  
Vol 13 ◽  
pp. 100292
Author(s):  
Helena Hybská ◽  
Martina Lobotková ◽  
Miroslav Vanek ◽  
Jozef Salva ◽  
Ivana Knapcová ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
Treatment Process ◽  
Wastewater Treatment Process

scholarly journals Development of a cost-effective wastewater treatment process: combination of different process

2021 ◽  
Vol 233 ◽  
pp. 01106
Author(s):  
Song Du ◽  
Wenbiao Jin
Keyword(s):  
Wastewater Treatment ◽  
Catalytic Oxidation ◽  
Treatment Process ◽  
Batch Reactor ◽  
Oxygen Demand ◽  
Cost Effective ◽  
Fenton Oxidation ◽  
Wastewater Treatment Process ◽  
Combination Process ◽  
Electro Catalytic Oxidation

Caprolactam wastewater produced by the production process of caprolactam is characterized by a very high toxicity and chemical oxygen demand (COD) values, having potential harm to the environment if treated improperly. However, these characteristics make caprolactam wastewaters difficult to treat using traditional methods. So the aim of this work was to develop a cost-effective caprolactam wastewater treatment process. Fenton oxidation, sequencing batch reactor activated sludge process (SBR) and electro-catalytic oxidation were proposed to treat caprolactam wastewater in the laboratory scale, and the treatment effects were investigated. Compared with Fenton oxidation, SBR and electro-catalytic oxidation can treat caprolactam wastewater at a lower cost and more efficiently. The pilot test results indicate that the COD can be decreased to less than 1000 mg/L by the combination process, and when the COD removal rates maintain 90%, the cost of caprolactam wastewater treatment is below 6 yuan/m3. The combination process showed better economic benefit.

Modelling the energy costs of the wastewater treatment process: The influence of the aging factor

2018 ◽  
Vol 625 ◽  
pp. 363-372 ◽  
Author(s):  
Lledó Castellet-Viciano ◽  
Vicent Hernández-Chover ◽  
Francesc Hernández-Sancho
Keyword(s):  
Wastewater Treatment ◽  
Treatment Process ◽  
Energy Costs ◽  
Wastewater Treatment Process ◽  
Aging Factor

A MATHEMATICAL MODEL FOR WASTEWATER TREATMENT PROCESS OF AN OXIDATION POND

2016 ◽  
Vol 78 (3-2) ◽  
Author(s):  
Amir S. A. Hamzah ◽  
Akbar Banitalebi ◽  
Ali H. M. Murid ◽  
Zainal A. Aziz ◽  
Hasniza Ramli ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Wastewater Treatment ◽  
Dissolved Oxygen ◽  
Treatment Process ◽  
Oxygen Demand ◽  
Wastewater Treatment Process ◽  
Oxidation Pond ◽  
Coupled Equations ◽  
Proposed Model ◽  
The Mathematical Model

This study presents a mathematical model for wastewater treatment process (WWTP) of an oxidation pond. The model permits investigating the effects of a biological-based product called mPHO on the degradation of contaminants as well as increase the amount of dissolved oxygen (DO) in the pond. At this aim, an ordinary differential equation with coupled equations has been developed to study the correlation between the amount of bacteria (phototrophic and Coliform), chemical oxygen demand (COD), and dissolved oxygen (DO) existing in the pond. The mathematical model is employed to simulate the behaviour of the system where the numerical results demonstrate that the proposed model gives a good approximation of the interaction processes that occur naturally between biological and chemical substances involved in the pond

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 Research on a soft measurement model of sewage treatment based on a case-based reasoning approach

2017 ◽  
Vol 76 (12) ◽  
pp. 3181-3189 ◽  
Author(s):  
Jiayan Zhang ◽  
Cuicui Du ◽  
Xugang Feng
Keyword(s):  
Neural Network ◽  
Wastewater Treatment ◽  
Treatment Process ◽  
Sewage Treatment ◽  
Oxygen Demand ◽  
Prediction Method ◽  
Measurement Model ◽  
Case Based Reasoning ◽  
Wastewater Treatment Process ◽  
Case Based

Abstract In this paper, the measurement of biochemical oxygen demand (BOD) in a wastewater treatment process is analyzed and an intelligent integrated prediction method based on case-based reasoning (CBR) is proposed in order to overcome difficulties. Due to the fact that there are many factors that influence the accuracy of the prediction model, the radial basis function, which is a neural network with a 3 layer feedforward network, is employed to reduce the dimension of input values. Under these circumstances, a back propagation neural network combining with a nearest neighbor retrieval strategy is adopted to match case. Then, the measurement of BOD in wastewater treatment process is analyzed. Finally, the validity of the improved CBR in sewage treatment is demonstrated by using numerical results.

scholarly journals Prediction of BOD Concentration in Wastewater Treatment Process Using a Modular Neural Network in Combination with the Weather Condition

2020 ◽  
Vol 10 (21) ◽  
pp. 7477
Author(s):  
Wenjing Li ◽  
Junkai Zhang
Keyword(s):  
Neural Network ◽  
Wastewater Treatment ◽  
Prediction Accuracy ◽  
Clustering Algorithm ◽  
Treatment Process ◽  
Weather Condition ◽  
Oxygen Demand ◽  
Wastewater Treatment Process ◽  
Training Time ◽  
Modular Neural Network

Since weather has a huge impact on the wastewater treatment process (WWTP), the prediction accuracy for the Biochemical Oxygen Demand (BOD) concentration in WWTP would degenerate if using only one single artificial neural network as the model for soft measurement method. Aiming to solve this problem, the present study proposes a novel hybrid scheme using a modular neural network (MNN) combining with the factor of weather condition. First, discriminative features among different weather groups are selected to ensure a high accuracy for sample clustering based on weather conditions. Second, the samples are clustered based on a density-based clustering algorithm using the discriminative features. Third, the clustered samples are input to each module in MNN, with the auxiliary variables correlated with BOD prediction input to the corresponding model. Finally, a constructive radial basis function neural network with the error-correction algorithm is used as the model for each subnetwork to predict BOD concentration. The proposed scheme is evaluated on a standard wastewater treatment platform—Benchmark Simulation Model 1 (BSM1). Experimental results demonstrate the performance improvement of the proposed scheme on the prediction accuracy for BOD concentration in WWTP. Besides, the training time is shortened and the network structure is compact.

Application of An Organic Plant-Derived Binder in the Fabrication of Diatomaceous Earth Waste-Based Membranes for Water Purification Systems

MRS Advances ◽  
2020 ◽  
Vol 5 (26) ◽  
pp. 1339-1348
Author(s):  
Mary T. Simiyu ◽  
Francis W. Nyongesa ◽  
Bernard O. Aduda ◽  
Zephania Birech ◽  
Godwin Mwebaze
Keyword(s):  
Diatomaceous Earth ◽  
Pore Diameter ◽  
Sintering Temperature ◽  
Ceramic Membranes ◽  
Water Filtration ◽  
Total Flux ◽  
Porous Membranes ◽  
E Coli ◽  
Filtration Membranes ◽  
Micro Organisms

ABSTRACTThis work reports on the use of diatomaceous earth (DE) waste and organic binder derived from Corchorus olitorius, locally known as “Mrenda” in the design of an efficient water filtration membranes. Charcoal powder was incorporated to enhance the porosity of the membrane. The firing was done at temperatures varying from 700.0 °C to 1150.0 °C. The DE waste samples comprised 79.0% silica (by mass) and 11.0% total flux content compared to porter’s clay that had 50.0% silica, 28.8% AL2O3 and 7.0% total flux content. On the other hand, the “Mrenda” binder contained 6.5% total organic matter. The use of the plant-derived binder enhanced the mechanical strength of the greenware by 52.7% and the fired membranes by 152.2%. The fabricated DE waste-based membranes were 15.0% stronger than clay-based ceramic membranes prepared under similar conditions. A sintering temperature of 900.0 °C was optimal in producing porous membranes for filtering of 4.1 liters of water per hour. The pore diameter of the membranes fabricated from DE waste only ranged between 2.0 nm – 99.0 nm. On micro-organisms filtering efficacy, the DE waste-based membranes and those fabricated with 5.0% charcoal were 99.9% and 88.4% effective in the removal of E. coli and Rotavirus respectively.

Sign in / Sign up

Export Citation Format

Share Document