Integrated expanded granular sludge bed and sequential batch reactor treating beet sugar industrial wastewater and recovering bioenergy

2016 ◽  
Vol 23 (20) ◽  
pp. 21032-21040 ◽  
Author(s):  
Ambuchi John Justo ◽  
Liu Junfeng ◽  
Shan Lili ◽  
Wang Haiman ◽  
Moirana Ruth Lorivi ◽  
...  
Keyword(s):  
Industrial Wastewater ◽  
Batch Reactor ◽  
Granular Sludge ◽  
Sequential Batch Reactor ◽  
Beet Sugar ◽  
Beet Sugar Industrial Wastewater

scholarly journals Settling properties of aerobic granular sludge (AGS) and aerobic granular sludge molasses (AGSM)

2018 ◽  
Vol 34 ◽  
pp. 02022
Author(s):  
Azlina Mat Saad ◽  
Farrah Aini Dahalan ◽  
Naimah Ibrahim ◽  
Sara Yasina Yusuf ◽  
Siti Aqlima Ahmad ◽  
...  
Keyword(s):  
Industrial Wastewater ◽  
Sequencing Batch Reactor ◽  
Settling Velocity ◽  
Batch Reactor ◽  
Granular Sludge ◽  
Aerobic Granular Sludge ◽  
X Ray ◽  
Conventional Activated Sludge ◽  
Physiological Structure ◽  
Granulation Technology

Aerobic granulation technology is applied to treat domestic and industrial wastewater. The Aerobic granular sludge (AGS) cultivated has strong properties that appears to be denser and compact in physiological structure compared to the conventional activated sludge. It offers rapid settling for solid:liquid separation in wastewater treatment. Aerobic granules were developed using sequencing batch reactor (SBR) with intermittent aerobic – anaerobic mode with 8 cycles in 24 hr. This study examined the settling velocity performance of cultivated aerobic granular sludge (AGS) and aerobic granular sludge molasses (AGSM). The elemental composition in both AGS and AGSM were determined using X-ray fluorescence (XRF). The results showed that AGSM has higher settling velocity 30.5 m/h compared to AGS.

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.

Removal of fluoxetine and its effects in the performance of an aerobic granular sludge sequential batch reactor

2015 ◽  
Vol 287 ◽  
pp. 93-101 ◽  
Author(s):  
Irina S. Moreira ◽  
Catarina L. Amorim ◽  
Ana R. Ribeiro ◽  
Raquel B.R. Mesquita ◽  
António O.S.S. Rangel ◽  
...  
Keyword(s):  
Batch Reactor ◽  
Granular Sludge ◽  
Aerobic Granular Sludge ◽  
Sequential Batch Reactor

scholarly journals Preparation of Cathode-Anode Integrated Ceramic Filler and Application in a Coupled ME-EGSB-SBR System for Chlortetracycline Industrial Wastewater Systematic Treatment

2016 ◽  
Vol 2016 ◽  
pp. 1-11
Author(s):  
Yuanfeng Qi ◽  
Suqing Wu ◽  
Fei Xi ◽  
Shengbing He ◽  
Chunzhen Fan ◽  
...  
Keyword(s):  
New Media ◽  
Industrial Wastewater ◽  
Batch Reactor ◽  
Oxygen Demand ◽  
Granular Sludge ◽  
Ammonia Nitrogen ◽  
Ceramic Filler ◽  
Systematic Treatment ◽  
Efficient System ◽  
N Removal

Chlortetracycline (CTC) contamination of aquatic systems has seriously threatened the environmental and human health throughout the world. Conventional biological treatments could not effectively treat the CTC industrial wastewater and few studies have been focused on the wastewater systematic treatment. Firstly, 40.0 wt% of clay, 30.0 wt% of dewatered sewage sludge (DSS), and 30.0 wt% of scrap iron (SI) were added to sinter the new media (cathode-anode integrated ceramic filler, CAICF). Subsequently, the nontoxic CAICF with rough surface and porous interior packed into ME reactor, severing as a pretreatment step, was effective in removing CTC residue and improving the wastewater biodegradability. Secondly, expanded granular sludge bed (EGSB) and sequencing batch reactor (SBR), serving as the secondary biological treatment, were mainly focusing on chemical oxygen demand (COD) and ammonia nitrogen (NH3-N) removal. The coupled ME-EGSB-SBR system removed about 98.0% of CODcr and 95.0% of NH3-N and the final effluent met the national discharged standard (C standard of CJ 343-2010, China). Therefore, the CTC industrial wastewater could be effectively treated by the coupled ME-EGSB-SBR system, which has significant implications for a cost-efficient system in CTC industrial systematic treatment and solid wastes (DSS and SI) treatment.

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