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Abstract
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Article Information:
A Fast Predictive of Sludge Age in Five Step SBRs Using FLC Model
Saad Abualhail, Alaa A. Jassim, Rusul Naseer and Lu Xi-wu
Corresponding Author: Lu Xi-wu
Submitted: April 03, 2012
Accepted: April 17, 2012
Published: August 01, 2012 |
Abstract:
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Removal efficiency of COD, NH4-N and PO4-P and NO3-N in five step SBR processes is widely
influenced by mean cell residence time of Five step sequencing batch reactor whereas the sludge age is
influence directly on removal efficiency of this system therefore the operator of this system cannot control on
this system without experience or a control model. The major objective of this study is develop a control model
(Fuzzy Logic Control Model) based on fuzzy logic rule to predict the maximum removal efficiency of COD,
NH4-N, PO4-P and NO3-N and minimize mean cell residence time of SBR process where the controlled
variables was the sludge age in the five step system and the output variables was the COD, NH4-N, PO4-P and
NO3-N removal efficiency (or release rate when negative value) at constant ratio of C/N/P and hydraulic
retention time. In order to improve the network performance, fuzzy subtractive clustering was used to identify
model architecture, extract and optimize fuzzy rule of the model. As a results the study shows that Adaptive
Neural Fuzzy model provide a suitable tool for control and fast predict of mean cell residence time (sludge age)
effects on biological nutrient removal efficiency in five-step sequencing batch reactor.
Key words: Activated sludge and SBR, fuzzy model, MCRT, , , ,
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Cite this Reference:
Saad Abualhail, Alaa A. Jassim, Rusul Naseer and Lu Xi-wu, . A Fast Predictive of Sludge Age in Five Step SBRs Using FLC Model. Research Journal of Applied Sciences, Engineering and Technology, (15): 2569-2576.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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