Yıl 2017, Cilt 1 , Sayı Sp. is. 1, Sayfalar 69 - 76 2017-10-20

Investigation of the Chemical Exergy of Torrefied Lignocellulosic Fuels using Artificial Neural Networks

Ugur ÖZVEREN [1] , Omer Faruk DİLMAC [2] , Mehmet Selçuk MERT [3] , Fatma KARACA ALBAYRAK [4]


Torrefaction is a type of thermo-chemical pretreatment process to enhance energy density of lignocellulosic fuels. For a torrefaction process, a key challenge is to develop efficient thermal conversion technologies for torrefied fuels which can compete with fossil fuels. The calculation of chemical exergy is an essential step for designing efficient thermal conversion systems. However, there is a few correlations to predict the chemical exergy of solid fuels has been published so far.  This study deals with a new method to characterize the chemical exergy of different kinds of torrefied lignocellulosic fuels by using Bayesian trained artificial neural network (ANN). The proposed model based on proximate analysis and higher heating values of torrefied fuels. Use of the artificial neural network method is encouraged to reduce variance in model results. The results indicate that the proposed model offers a high degree of correlation (R2=0,9999) and its robustness and capability to compute the chemical exergy of any torrefied lignocellulosic fuels from its proximate analysis and heating value.

Lignocellulosic fuels, Chemical exergy, Proximate analysis, Neural networks
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Konular Mühendislik
Bölüm Makaleler
Yazarlar

Yazar: Ugur ÖZVEREN
Kurum: Marmara University
Ülke: Turkey


Yazar: Omer Faruk DİLMAC
Kurum: ÇANKIRI KARATEKİN ÜNİVERSİTESİ
Ülke: Turkey


Yazar: Mehmet Selçuk MERT
Kurum: YALOVA ÜNİVERSİTESİ
Ülke: Turkey


Yazar: Fatma KARACA ALBAYRAK
Kurum: Marmara University
Ülke: Turkey


Tarihler

Başvuru Tarihi : 20 Ekim 2017
Kabul Tarihi : 19 Ekim 2017
Yayımlanma Tarihi : 20 Ekim 2017

Vancouver Özveren U , Di̇lmac O , Mert M , Karaca Albayrak F . Investigation of the Chemical Exergy of Torrefied Lignocellulosic Fuels using Artificial Neural Networks. Journal of the Turkish Chemical Society Section B: Chemical Engineering. 2017; 1(Sp. is. 1): 69-76.