Co-combustion thermal conversion characteristics of textile dyeing sludge and pomelo peel using TGA and artificial neural networks
Yükleniyor...
Dosyalar
Tarih
2018
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Sci Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Co-combustion characteristics of textile dyeing sludge (TDS) and pomelo peel (PP) under O-2/N-2 and O-2/CO2 atmospheres were investigated using a thermogravimetric analysis (TGA) and artificial neural networks. 30% O-2/70% CO2 and air atmospheres led to a similar co-combustion performance. Increases in O-2 concentration and PP significantly improved the oxy-fuel co-combustion performance of TDS. Principal component analysis was applied to reduce the dimensionality of differential TGA curves and to identify the principal reactions. The interaction between TDS and PP occurred mainly at 490-600 degrees C, thus improving the process of residue co combustion. Radial basis function was found to have more reliable and robust predictions of TGA under different O-2/CO2 atmospheres than did Bayesian regularized network. Regardless of Flynn-Wall-Ozawa (FWO) and Kissinger-Akahira-Sunose (KAS) methods used, the lowest mean value of apparent activation energy (155.4 kJ.mol(-1) by FWO and 153.2 kJ.mol(-1) by KAS) was obtained under the 30% O-2/70% CO2 atmosphere.
Açıklama
Anahtar Kelimeler
Oxy-fuel Combustion, Textile Cyeing Sludge, Pomelo Peel, Thermogravimetric Analysis, Artificial Neural Networks, Principal Component Analysis
Kaynak
Applied Energy
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
212
