ANFIS Modelling of Carbon and Nitrogen Removal in Domestic Wastewater Treatment Plant

2014 ◽  
Vol 67 (5) ◽  
Author(s):  
Muhammad Sani Gaya ◽  
N. Abdul Wahab ◽  
Y. M. Sam ◽  
Sahratul Izah Samsudin
Keyword(s):  
Wastewater Treatment ◽  
Nitrogen Removal ◽  
Wastewater Treatment Plant ◽  
Treatment Plant ◽  
Oxygen Demand ◽  
Domestic Wastewater ◽  
Feed Forward Neural Network ◽  
Anfis Model ◽  
Efficient Operation ◽  
Carbon And Nitrogen

Wastewater treatment plant involves highly complex and uncertain processes, which are quite difficult to forecast. However, smooth and efficient operation of the treatment plant depends on an appropriate model capable of describing accurately the dynamic nature of the system. Most of the existing models were applied to industrial wastewater treatment plants. Therefore, this paper proposed an ANFIS model for carbon and nitrogen removal in the Bunus regional sewage wastewater treatment plant, Kuala Lumpur, Malaysia. For comparison, feed-forward neural network is used. Simulation results revealed that the ANFIS model demonstrated slightly better prediction capability in all the considered variables, chemical oxygen demand (COD), suspended solids (SS) and ammonium nitrogen (NH4-N) as compared to the FFNN model, thus proving that the proposed ANFIS model is reliable and useful to the wastewater treatment plant. 

ANFIS Modelling of Carbon Removal in Domestic Wastewater Treatment Plant

2013 ◽  
Vol 372 ◽  
pp. 597-601
Author(s):  
Muhammad Sani Gaya ◽  
Norhaliza Abdul Wahab ◽  
Yahya M. Sam ◽  
Azna N. Anuar ◽  
Sharatul Izah Samsuddin
Keyword(s):  
Wastewater Treatment ◽  
Wastewater Treatment Plant ◽  
Treatment Plant ◽  
Domestic Wastewater ◽  
Optimal Operation ◽  
Suitable Model ◽  
Anfis Model ◽  
Carbon Removal ◽  
Inference System ◽  
Domestic Wastewater Treatment

Modelling of an ill-defined system such as the wastewater treatment plant is quite tedious and difficult. However, successful and optimal operation of the system relied upon a suitable model. Most of the available developed models were applied to industrial wastewater treatment plants. This paper presents adaptive neuro fuzzy inference system (ANFIS) model for carbon removal in the Bunu domestic wastewater treatment plant in Kuala Lumpur, Malaysia. For comparison feed-forward neural network (FFNN) was used. Simulation results revealed that ANFIS model is slightly better than the FFNN model, thus proving that the model is a reliable and valuable tool for the wastewater treatment plant.

Evaluation of the performance of the Tyson Foods wastewater treatment plant for nitrogen removal

2005 ◽  
Vol 51 (11) ◽  
pp. 159-166
Author(s):  
E. Ubay-Cokgor ◽  
C.W. Randall ◽  
D. Orhon
Keyword(s):  
Wastewater Treatment ◽  
Nitrogen Removal ◽  
Wastewater Treatment Plant ◽  
Suspended Solids ◽  
Treatment Plant ◽  
Oxygen Demand ◽  
Total Suspended Solids ◽  
Biological Oxygen Demand ◽  
Average Flow Rate ◽  
Before And After

In this paper, the performance of the Tyson Foods wastewater treatment plant with an average flow rate of 6500 m3/d was evaluated before and after upgrading of the treatment system for nitrogen removal. This study was also covered with an additional recommendation of BIOWINTM BNR program simulation after the modification period to achieve an additional nutrient removal. The results clearly show that the upgrading was very successful for improved nitrogen removal, with a 57% decrease on the total nitrogen discharge. There also were slight reductions in the discharged loads of biological oxygen demand, total suspended solids, ammonium and total phosphorus with denitrification, even though the effluent flow was higher during operation of the nitrogen removal configuration.

Factors Affecting Biological Nitrogen Removal Efficiency in a Large Wastewater Treatment Plant

1991 ◽  
Vol 24 (7) ◽  
pp. 121-131 ◽  
Author(s):  
Elzbieta Plaza ◽  
Jan Bosander ◽  
Jozef Trela
Keyword(s):  
Wastewater Treatment ◽  
Chemical Oxygen Demand ◽  
Nitrogen Removal ◽  
Wastewater Treatment Plant ◽  
Treatment Plant ◽  
Oxygen Demand ◽  
Biological Nitrogen Removal ◽  
Careful Study ◽  
Anoxic Zone ◽  
Biological Nitrogen

The pre-denitrification method, with internal carbon source for biological nitrogen removal, has been studied in full-scale experiments at a large wastewater treatment plant (flow 130,000 m3/d). Factors controlling nitrogen removal, such as fraction of anoxic zone and organic material content in wastewater are discussed. A flexible system with fine bubble membrane disc diffusers made it possible to change the ratio between the volumes for nitrification and denitrification. The denitrification process was limited by lack of organic carbon in the wastewater and increasing the fraction of anoxic zone did not improve the efficiency of the system. With the help of on-line analysers for total nitrogen and chemical oxygen demand, the relationship between the denitrification efficiency and the carbon/nitrogen ratio has been given careful study. The average value for chemical oxygen demand after primary sedimentation was only 130 mg/l and the value for the COD/N ratio was found to be 6.3. The denitrification rate was usually in the range of 1.0 and 2.0 mg NO3-N/g MLVSS h.

Study on the Cultivation and Enrichment of Denitrifying Phosphorus Accumulating Organism in Different Patterns

2013 ◽  
Vol 830 ◽  
pp. 481-484
Author(s):  
De Ying Mu
Keyword(s):  
Wastewater Treatment ◽  
Wastewater Treatment Plant ◽  
Sequencing Batch Reactor ◽  
Removal Rate ◽  
Batch Reactor ◽  
Treatment Plant ◽  
Oxygen Demand ◽  
Domestic Wastewater ◽  
Three Phase ◽  
Aerobic And Anaerobic

With synthetic domestic wastewater, denitrifying phosphorus accumulating organism was enriched and cultured by using activated sludge from a wastewater treatment plant in a set of sequencing batch reactor. Results showed that the system had a good effluent performance under the three-phase cultivation of anaerobic/aerobic, anaerobic/anoxic/aerobic and anaerobic/anoxic; the effluent concentration of chemical oxygen demand (COD) was below 25 mg/L, the average removal rate of phosphorus was 84.63%-88.19%.

Operational Results of the Wolfsburg Wastewater Treatment Plant

1992 ◽  
Vol 25 (4-5) ◽  
pp. 203-209 ◽  
Author(s):  
R. Kayser ◽  
G. Stobbe ◽  
M. Werner
Keyword(s):  
Wastewater Treatment ◽  
Activated Sludge ◽  
Nitrogen Content ◽  
Total Nitrogen ◽  
Nitrogen Removal ◽  
Wastewater Treatment Plant ◽  
Treatment Plant ◽  
Phosphate Removal ◽  
Total Nitrogen Content ◽  
Activated Sludge Process

At Wolfsburg for a load of 100,000 p.e., the step-feed activated sludge process for nitrogen removal is successfully in operation. Due to the high denitrification potential (BOD:TKN = 5:1) the effluent total nitrogen content can be kept below 10 mg l−1 N; furthermore by some enhanced biological phosphate removal about 80% phosphorus may be removed without any chemicals.

Characteristics of nitrogen removal and microbial distribution by application of spent sulfidic caustic in pilot scale wastewater treatment plant

2010 ◽  
Vol 62 (8) ◽  
pp. 1965-1965
Author(s):  
S. Park ◽  
J. Lee ◽  
J. Park ◽  
I. Byun ◽  
T. Park ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
Nitrogen Removal ◽  
Wastewater Treatment Plant ◽  
Treatment Plant ◽  
Pilot Scale ◽  
Microbial Distribution ◽  
Spent Sulfidic Caustic ◽  
Sulfidic Caustic

Publisher‘s note. We regret that the published version of this article erroneously denoted the first author as corresponding author; in fact the formal corresponding author of this paper is Professor Taeho Lee, whose address is repeated below.

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