Co-gasification of rice husk and plastic in the presence of CaO using a novel ANN model-incorporated Aspen plus simulation

Makaleler > Tam Makale · 2023

Yazarlar: Jamilu Salisu, Ningbo Gao, Cui Quan, Jale YANIK, Nancy Artioli

Journal of the Energy Institute, SCI Expanded İndekslerine Giren Dergi, Uluslararası, Wos, 2023, cilt 108, ss 101239-101239

DOI: 10.1016/j.joei.2023.101239

Özet

<p>This study presents a novel model for the simulation of co-gasification of rice husk and plastic using Aspen Plus.</p><p>The new approach involved using an artificial neural network (ANN) to predict pyrolysis process involved in the</p><p>gasification, purposely with the aim of providing a more realistic model. Three ANN models were developed with</p><p>inputs as ultimate analysis (C, H and O), higher heating value (HHV) and pyrolysis temperature. In the gasifi-</p><p>cation section, effects of temperature (600–850 ◦C), steam-to-feed ratio and CaO to feed ratio were examined.</p><p>The developed ANN models proved to have good agreement with the actual data with a correlation coefficient</p><p>(R) &gt; 0.979. The performances of the models were also assessed by absolute mean error (MAE), root mean square</p><p>error (RMSE) and mean bias error (MBE). A maximum of 69.42 vol% H2 content was obtained at 750 ◦C from the</p><p>Aspen Plus gasification model, which was validated with experimental data and a least RMSE of 2.62 was</p><p>obtained</p>

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