An evaluation of tannery industry wastewater treatment sludge gasification by artificial neural network modeling

Ongen A., Ozcan H. K., Arayici S.

JOURNAL OF HAZARDOUS MATERIALS, cilt.263, ss.361-366, 2013 (SCI-Expanded, Scopus) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 263
  • Basım Tarihi: 2013
  • Doi Numarası: 10.1016/j.jhazmat.2013.03.043
  • Dergi Adı: JOURNAL OF HAZARDOUS MATERIALS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.361-366
  • Anahtar Kelimeler: Tannery industry, Thermochemical treatment, Synthesis gas, ANN, STEAM GASIFICATION, SEWAGE-SLUDGE, SYNGAS PRODUCTION, CO-GASIFICATION, TECHNOLOGY, POTASSIUM
  • İstanbul Üniversitesi-Cerrahpaşa Adresli: Hayır

Özet

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. (C) 2013 Elsevier B.V. All rights reserved.