SEQUENTIAL BATCH REACTOR (SBR) IN MALAYSIA WASTEWATER TREATMENT: A COMPARISON STUDY ON ENERGY EFFICIENCY AND NUTRIENT REMOVAL BETWEEN OTHERS TYPE SLUDGE SYSTEM

2021 ◽  
Author(s):  
Wan Mohd Bukhary Wan Muzaffar ◽  
Aznah Nor Anuar
Keyword(s):  
Energy Efficiency ◽  
Wastewater Treatment ◽  
Nutrient Removal ◽  
Batch Reactor ◽  
Comparison Study ◽  
Sequential Batch Reactor

scholarly journals Efficiency of Sewage Treatment Plants in the Sequential Batch Reactor

2018 ◽  
Vol 28 (3) ◽  
pp. 121-131 ◽  
Author(s):  
Anita Jakubaszek ◽  
Artur Stadnik
Keyword(s):  
Wastewater Treatment ◽  
Total Nitrogen ◽  
Total Phosphorus ◽  
Suspended Solids ◽  
Wastewater Treatment Plants ◽  
Batch Reactor ◽  
Sewage Treatment ◽  
Total Suspended Solids ◽  
Sewage Treatment Plants ◽  
Sequential Batch Reactor

Abstract The article analyzes the effectiveness of individual Actibloc wastewater treatment plants (produced by Sotralentz) working in the technology of low-rate activated sludge in the Sequential Batch Reactor (SBR) system. The assessment of the effectiveness of household wastewater treatment plants was made on the basis of pollutants: BOD5, COD, total suspended solids, total nitrogen and total phosphorus. The research objects were four household sewage treatment plants located in: Lubań, Kłębanowice, Stara Rzeka and Kościan. The efficiency of removing pollutants in the examined facilities was in the range of: BOD5 92.2 ÷ 97.2%, COD 82.6 ÷ 89.9%, total suspended solids 90.2 ÷ 96.2%, total nitrogen 50.8 ÷ 83.1%, total phosphorus 46.5 ÷ 73.6%. The treated wastewater met the requirements set out in the Regulation of the Minister of the Environment on the conditions to be met when discharging sewage into water or soil, and on substances particularly harmful to the aquatic environment (Journal of Laws 2014, item 1800) in terms of indicators such as BOD5, COD, total suspended solids and total nitrogen. The effectiveness of phosphorus removal in the studied treatment plants was much lower.

Modelling and Evaluation of Sequential Batch Reactor Using Artificial Neural Network

2017 ◽  
Vol 7 (3) ◽  
pp. 1620
Author(s):  
Norjannah Hazali ◽  
Norhaliza Abdul Wahab ◽  
Syahira Ibrahim
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Radial Basis Function ◽  
Basis Function ◽  
Nutrient Removal ◽  
Batch Reactor ◽  
Granular Sludge ◽  
Aerobic Granular Sludge ◽  
Sequential Batch Reactor ◽  
Radial Basis

The main objective of wastewater treatment plant is to release safe effluent not only to human health but also to the natural environment. An aerobic granular sludge technology is used for nutrient removal of wastewater treatment process using sequential batch reactor system. The nature of the process is highly complex and nonlinear makes the prediction of biological treatment is difficult to achieve. To study the nonlinear dynamic of aerobic granular sludge, high temperature real data at 40˚C were used to model sequential batch reactor using artificial neural network. In this work, the radial basis function neural network for modelling of nutrient removal process was studied. The network was optimized with self-organizing radial basis function neural network which adjusted the network structure size during learning phase. Performance of both network were evaluated and compared and the simulation results showed that the best prediction of the model was given by self-organizing radial basis function neural network.

Domestic wastewater treatment in a coupled sequential batch reactor‐electrochemical reactor process

2020 ◽  
Author(s):  
Lokesh Kumar Akula ◽  
Vidyasagar Babu Gaddam ◽  
Madhuri Damaraju ◽  
Debraj Bhattacharyya ◽  
Kiran Kumar Kurilla
Keyword(s):  
Wastewater Treatment ◽  
Batch Reactor ◽  
Domestic Wastewater ◽  
Electrochemical Reactor ◽  
Sequential Batch Reactor ◽  
Domestic Wastewater Treatment
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