title: An evaluation of tannery industry wastewater treatment sludge gasification by artificial neural network modeling.
abstract: This paper reports on the calorific value of synthetic gas (syngas) produced by gasification of dewatered sludge derived from treatment of tannery wastewater. Proximate and ultimate analyses of samples were performed. Thermochemical conversion alters the chemical structure of the waste. Dried air was used as a gasification agent at varying flow rates, which allowed the feedstock to be quickly converted into gas by means of different heterogeneous reactions. A lab-scale updraft fixed-bed steel reactor was used for thermochemical conversion of sludge samples. Artificial neural network (ANN) modeling techniques were used to observe variations in the syngas related to operational conditions. Modeled outputs showed that temporal changes of model predictions were in close accordance with real values. Correlation coefficients (r) showed that the ANN used in this study gave results with high sensitivity.
authors.affiliation: Istanbul University, Faculty of Engineering, Department of Environmental Engineering, 34320 Avcilar, Istanbul, Turkey. Electronic address: aongen@istanbul.edu.tr.
authors.forename: Atakan
authors.initials: A
authors.lastname: Ongen
authors.forename: H Kurtulus
authors.initials: HK
authors.lastname: Ozcan
authors.forename: Semiha
authors.initials: S
authors.lastname: Arayıcı
mesh_terms: D000465:Algorithms; D005740:Gases / Q000737:chemistry*; D006358:Hot Temperature; D007220:Industrial Waste / Q000032:analysis*; D016571:Neural Networks, Computer; D012722:Sewage / Q000737:chemistry*; D013633:Tanning; D014874:Water Pollutants, Chemical / Q000032:analysis*; D018508:Water Purification / Q000379:methods*
chemical_list: D005740:Gases; D007220:Industrial Waste; D012722:Sewage; D014874:Water Pollutants, Chemical
keywords: ANN; Synthesis gas; Tannery industry; Thermochemical treatment