Document Detail

A fuzzy-logic-based model to predict biogas and methane production rates in a pilot-scale mesophilic UASB reactor treating molasses wastewater.
MedLine Citation:
PMID:  20609515     Owner:  NLM     Status:  MEDLINE    
A MIMO (multiple inputs and multiple outputs) fuzzy-logic-based model was developed to predict biogas and methane production rates in a pilot-scale 90-L mesophilic up-flow anaerobic sludge blanket (UASB) reactor treating molasses wastewater. Five input variables such as volumetric organic loading rate (OLR), volumetric total chemical oxygen demand (TCOD) removal rate (R(V)), influent alkalinity, influent pH and effluent pH were fuzzified by the use of an artificial intelligence-based approach. Trapezoidal membership functions with eight levels were conducted for the fuzzy subsets, and a Mamdani-type fuzzy inference system was used to implement a total of 134 rules in the IF-THEN format. The product (prod) and the centre of gravity (COG, centroid) methods were employed as the inference operator and defuzzification methods, respectively. Fuzzy-logic predicted results were compared with the outputs of two exponential non-linear regression models derived in this study. The UASB reactor showed a remarkable performance on the treatment of molasses wastewater, with an average TCOD removal efficiency of 93 (+/-3)% and an average volumetric TCOD removal rate of 6.87 (+/-3.93) kg TCOD(removed)/m(3)-day, respectively. Findings of this study clearly indicated that, compared to non-linear regression models, the proposed MIMO fuzzy-logic-based model produced smaller deviations and exhibited a superior predictive performance on forecasting of both biogas and methane production rates with satisfactory determination coefficients over 0.98.
F Ilter Turkdogan-Aydinol; Kaan Yetilmezsoy
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Publication Detail:
Type:  Journal Article     Date:  2010-06-18
Journal Detail:
Title:  Journal of hazardous materials     Volume:  182     ISSN:  1873-3336     ISO Abbreviation:  J. Hazard. Mater.     Publication Date:  2010 Oct 
Date Detail:
Created Date:  2010-08-16     Completed Date:  2010-12-06     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9422688     Medline TA:  J Hazard Mater     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  460-71     Citation Subset:  IM    
Copyright Information:
2010 Elsevier B.V. All rights reserved.
Yildiz Technical University, Faculty of Civil Engineering, Department of Environmental Engineering, 34220 Davutpasa, Esenler, Istanbul, Turkey.
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MeSH Terms
Fuzzy Logic*
Hydrogen-Ion Concentration
Industrial Waste*
Methane / biosynthesis*
Models, Theoretical*
Pilot Projects
Water Pollutants / isolation & purification*
Reg. No./Substance:
0/Gases; 0/Industrial Waste; 0/Water Pollutants; 74-82-8/Methane

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