Use pH and ORP as fuzzy control parameters of denitrification in SBR process

2002 ◽  
Vol 46 (4-5) ◽  
pp. 131-137 ◽  
Author(s):  
Y.Z. Peng ◽  
J.F. Gao ◽  
S.Y. Wang ◽  
M.H. Sui
Keyword(s):  
Fuzzy Control ◽  
Sequencing Batch Reactor ◽  
Fuzzy Controller ◽  
Batch Reactor ◽  
Limiting Factor ◽  
Control Parameters ◽  
Carbon Addition ◽  
Brewery Wastewater ◽  
Aeration Time ◽  
On Line

In order to achieve fuzzy control of denitrification in a Sequencing Batch Reactor (SBR) brewery wastewater was used as the substrate. The effects of brewery wastewater, sodium acetate, methanol and endogenous carbon source on the relationships between pH, ORP and denitrification were investigated. Also different quantities of brewery wastewater were examined. All the results indicated that the nitrate apex and nitrate knee occurred in the pH and ORP profiles at the end of denitrification. And when carbon was the limiting factor, through comparing the different increasing rate of pH whether the carbon was enough or not could be known, and when the carbon should be added again could be decided. On the basis of this, the fuzzy controller for denitrification in SBR was constructed, and the on-line fuzzy control experiments comparing three methods of carbon addition were carried out. The results showed that continuous carbon addition at a low rate might be the best method, it could not only give higher denitrification rate but also reduce the re-aeration time as much as possible. It appears promising to use pH and ORP as fuzzy control parameters to control the denitrification time and the addition of carbon.

Use of pH as fuzzy control parameter for nitrification under different alkalinity in SBR process

2003 ◽  
Vol 47 (11) ◽  
pp. 77-84 ◽  
Author(s):  
Y.-Z. Peng ◽  
J.-F. Gao ◽  
S.-Y. Wang ◽  
M.-H. Sui
Keyword(s):  
Fuzzy Control ◽  
Fuzzy Controller ◽  
Batch Reactor ◽  
Aeration Rate ◽  
Nitrification Rate ◽  
Brewery Wastewater ◽  
Ph Variation ◽  
Constant Rate ◽  
Bicarbonate Alkalinity ◽  
Influence Of Ph

In order to achieve fuzzy control of nitrification in a Sequencing Batch Reactor (SBR) brewery wastewater was used as the substrate. The effect of alkalinity on pH variation during nitrification was systematically studied, at the same time the variations of DO and ORP were investigated. Alkalinity and pH of the wastewater were adjusted by adding sodium bicarbonate at five levels and sodium hydroxide at two levels. Unadjusted wastewater was also studied. According to the results, variation of pH could be divided into rising type and descending type. When bicarbonate alkalinity was deficient or sufficient, the descending type happened. If alkalinity was deficient, the pH decreasing rate got slower when nitrification nearly stopped; if alkalinity was sufficient, at the end of nitrification pH turned from decrease to increase. This was the most common situation and pH could be used to control the end of nitrification. When alkalinity was excessive, the rising type happened, pH was increasing at nearly a constant rate during and after nitrification and could not be used to control the nitrification time, but if the aeration rate was moderate DO could be used to control the nitrification time. This situation seldom happened. Therefore the variation of pH could not only be used to control the nitrification time but also to judge whether the alkalinity was enough or not. On the basis of this, the fuzzy controller of nitrification in SBR was constructed. When discussing the influence of pH on nitrification rate the composition and concentration of alkalinity must be considered or else the results may be incomprehensive. And to some extent the influence of alkalinity on nitrification rate was more important than pH.

scholarly journals Study of COD Removal Rate on a Sequencing Batch Reactor (SBR) Treating Tapioca Wastewater

2019 ◽  
Vol 38 (3) ◽  
pp. 243
Author(s):  
Happy Mulyani ◽  
Gregorius Prima Indra Budianto ◽  
Margono Margono ◽  
Mujtahid Kaavessina
Keyword(s):  
Wastewater Treatment ◽  
Sequencing Batch Reactor ◽  
Removal Rate ◽  
Batch Reactor ◽  
Cod Removal ◽  
Operation Condition ◽  
Effluent Quality ◽  
Aeration Time ◽  
Standard Quality ◽  
Cod Removal Rate

Industrial wastewater treatment using Sequencing Batch Reactor (SBR) can improve effluent quality at lower cost than that obtained by other biological treatment methods. Further optimization is still required to enhance effluent quality until it meets standard quality and to reduce the operating cost of treatment of high strength organic wastewater. The purpose of this research was to determine the effect of pretreatment (pH adjustment and prechlorination) and aeration time on effluent quality and COD removal rate in tapioca wastewater treatment using SBR. Pretreatment was done by (1) adjustment of tapioca wastewater pH to control (4.92), 7, and 8, and (2) tapioca wastewater prechlorination at pH 8 during hour using calcium hypochlorite in variation dosages 0, 2, 4, 6 mg/L Cl2, SBR operation was conducted according to following steps: (1) Filling of pre-treated wastewater into a bioreactor during 1 hour, and (2) aeration of the mixture of tapioca wastewater and activated sludge during 8 hours. Effluent sample was collected at every 2-hours aeration for COD analysis. COD removal rate mathematical formula was got by first deriving the best fit function between aeration time and COD. Optimum aeration time resulting in no COD removal rate. The value of COD effluent and its removal rate in optimum aeration time was used to determine the recommended of operation condition of pretreatment. Research result shows that chosen pH operation condition is pH 8. Prechorination can make effluent quality which meets standard quality and highest COD removal rate. The chosen Cl2 dosage is 6 mg/L.

Feasibility Study on Biological Nutrient Removal in Sequencing Batch Reactor Treating Municipal Wastewater

2020 ◽  
Vol 17 (2) ◽  
pp. 946-949
Author(s):  
Samaneh Alijantabar Aghouzi ◽  
Thomas S. Y. Choong ◽  
M. I. Aida Isma
Keyword(s):  
Nutrient Removal ◽  
Sequencing Batch Reactor ◽  
Municipal Wastewater ◽  
Batch Reactor ◽  
Ammonia Nitrogen ◽  
Biological Nutrient Removal ◽  
Nitrogen And Phosphorus ◽  
Bacterial Consortia ◽  
Aeration Time ◽  
Working Volume

This study elucidates the performance of sequencing batch reactor for nutrient removal from municipal wastewater. The removal of COD, ammonia nitrogen and phosphorus were investigated. The SBR with a working volume of 5 L was operated for 6 hours, with 5 min fill, 30 min settle and 5 min effluent withdrawal. The remaining time in each cycle was 90 min anaerobic phase, 130 min anoxic phase and 110 min aerobic phase. The experiment was repeated with a longer aeration time of 180 min resulting to prolong the duration cycle. In the aerobic phase, dissolved oxygen was kept in the range of more than 2 mg/L. During batch operation, the system attained stability and had a removal efficiency for ammonia nitrogen, COD and phosphorus of 51.36%, 83.33% and 99.53%, respectively. Extending the aeration period improved ammonia nitrogen removal to 54.27%. It should be noted that the stability of the granular biomass agglomerates highly depending on the bacterial consortia. The particle size of sludge reduced from 60.26 μm to 39.00 μm in 60 days. It was observed that degranulation process and biomass loss was unavoidable.

scholarly journals MODELING OF MIXED LIQUOR VOLATILE SUSPENDED SOLIDS AND PERFORMANCE EVALUATION FOR A SEQUENCING BATCH REACTOR

2015 ◽  
Vol 9 (1) ◽  
pp. 54-65
Author(s):  
Sayed Ahmad Mirbagheri ◽  
Majid Bagheri ◽  
Majid Ehteshami ◽  
Zahra Bagheri ◽  
Masoud Pourasghar
Keyword(s):  
Experimental Data ◽  
Retention Time ◽  
Sequencing Batch Reactor ◽  
Municipal Wastewater ◽  
Batch Reactor ◽  
Yield Coefficient ◽  
Cell Retention ◽  
Aeration Time ◽  
Test Models ◽  
Filling Time

This study examined carbon, nitrogen and phosphorous removal from municipal wastewater in a sequencing batch reactor and biokinetic coefficients were evaluated according to results of BOD and COD. Furthermore, the MLVSS in the aeration reactor was modeled by using multilayer perceptron and radial basis function artificial neural networks (MLPANN and RBFANN). The experiments were performed so that the cell retention time, filling time and intensity of aeration were (5, 10 and 15 d), (1, 2 and 3 h) and (weak, medium and strong) respectively. The result indicated that with cell retention time of 15 d, filling time of 1 h, aeration time of 6 h and settling time of 3 h the HRT is optimized at 10 h. The BOD5, COD, TP, TN and removal efficiencies were 97.13%, 94.58%, 94.27%, 89.7% and 92.75% respectively. The yield coefficient (Y), decay coefficient (Kd), maximum specific growth rate (K) and saturation constant (Ks) were 6.22 mgVSS/mgCOD, 0.002 1/d, 0.029 1/d and 20 mg COD/L according to COD experimental data. The values of the biokinetic coefficients were found to be as follows: Y = 10.45 mgVSS/mgBOD, Kd = 0.01 1/d, 0.014 1/d and 3.38 mgBOD/L according to BOD5 experimental data. The training procedures for simulation of MLVSS were highly collaborated for both RBFANN and MLPANN. The train and test models for both MLPANN and RBFANN demonstrated perfectly matched results between the experimental and the simulated values of MLVSS. The values of RMSE for train and test (verification) models obtained by MLPANN were 31.82 and 40.25 mg/L respectively, and the value of R2 was 0.99 for both models. The values of RMSE for train and test models obtained by MLPANN were 69.04 and 43.87 mg/L respectively, and the value of R2 was 0.99 for both models. It was observed that the MLPANN has stronger approximation and generalization ability than the RBFANN with regard to our experimental data for MLVSS.

scholarly journals Prediction of Paper Mill Wastewater Treatment Process Parameters in Sequencing Batch Reactor using Fuzzy Logic Technique

2020 ◽  
Vol 8 (5) ◽  
pp. 1929-1937
Keyword(s):  
Waste Water ◽  
Fuzzy Logic ◽  
Sequencing Batch Reactor ◽  
Batch Reactor ◽  
Paper Mill ◽  
Pulp Mills ◽  
Wastewater Treatment Process ◽  
Paper Mills ◽  
Aeration Time ◽  
Fuzzy Logic Technique

Integrated paper and pulp mills utilize logs and wood chips for the production of paper. During the process, the expose of raw effluents affect the environmental factors. In this analysis, waste water from paper mills was processed with the SBR (sequencing batch reactor) cycle. The effect of microbes and aeration periods with varying amounts of waste water on the efficiency of SBRs has been evaluated. During the tests, removal efficiencies of COD, BOD and TDS have been tracked. For experimental design, study and optimization, Box-Behnken core composite architecture was implemented. To maximize SBR performance, Fuzzy logic control was used. The SBR demonstrated higher efficiency in removal output on the basis of the tests. At the optimum conditions of microbe dosage of 55 ml aeration time of 5 hrs and wastewater concentration of 75% and the SBR achieved maximum removal percentage of COD, BOD and TDSis 88.18%, 91.80% and 87.12%respectively.

scholarly journals MODELING OF MIXED LIQUOR VOLATILE SUSPENDED SOLIDS AND PERFORMANCE EVALUATION FOR A SEQUENCING BATCH REACTOR

2015 ◽  
Vol 9 (1) ◽  
pp. 54-65 ◽  
Author(s):  
Sayed Ahmad Mirbagheri ◽  
Majid Bagheri ◽  
Majid Ehteshami ◽  
Zahra Bagheri ◽  
Masoud Pourasghar
Keyword(s):  
Experimental Data ◽  
Retention Time ◽  
Sequencing Batch Reactor ◽  
Municipal Wastewater ◽  
Batch Reactor ◽  
Yield Coefficient ◽  
Cell Retention ◽  
Aeration Time ◽  
Test Models ◽  
Filling Time

This study examined carbon, nitrogen and phosphorous removal from municipal wastewater in a sequencing batch reactor and biokinetic coefficients were evaluated according to results of BOD and COD. Furthermore, the MLVSS in the aeration reactor was modeled by using multilayer perceptron and radial basis function artificial neural networks (MLPANN and RBFANN). The experiments were performed so that the cell retention time, filling time and intensity of aeration were (5, 10 and 15 d), (1, 2 and 3 h) and (weak, medium and strong) respectively. The result indicated that with cell retention time of 15 d, filling time of 1 h, aeration time of 6 h and settling time of 3 h the HRT is optimized at 10 h. The BOD5, COD, TP, TN and removal efficiencies were 97.13%, 94.58%, 94.27%, 89.7% and 92.75% respectively. The yield coefficient (Y), decay coefficient (Kd), maximum specific growth rate (K) and saturation constant (Ks) were 6.22 mgVSS/mgCOD, 0.002 1/d, 0.029 1/d and 20 mg COD/L according to COD experimental data. The values of the biokinetic coefficients were found to be as follows: Y = 10.45 mgVSS/mgBOD, Kd = 0.01 1/d, 0.014 1/d and 3.38 mgBOD/L according to BOD5 experimental data. The training procedures for simulation of MLVSS were highly collaborated for both RBFANN and MLPANN. The train and test models for both MLPANN and RBFANN demonstrated perfectly matched results between the experimental and the simulated values of MLVSS. The values of RMSE for train and test (verification) models obtained by MLPANN were 31.82 and 40.25 mg/L respectively, and the value of R2 was 0.99 for both models. The values of RMSE for train and test models obtained by MLPANN were 69.04 and 43.87 mg/L respectively, and the value of R2 was 0.99 for both models. It was observed that the MLPANN has stronger approximation and generalization ability than the RBFANN with regard to our experimental data for MLVSS.

Sign in / Sign up

Export Citation Format

Share Document