Record Details

<strong>Modeling and optimization of methanol steam reforming reaction over Cu/ZnO/Al2O3–ZrO2 catalyst using a hybrid artificial neural network</strong>

Online Publishing @ NISCAIR

View Archive Info
 
 
Field Value
 
Authentication Code dc
 
Title Statement <strong>Modeling and optimization of methanol steam reforming reaction over Cu/ZnO/Al2O3–ZrO2 catalyst using a hybrid artificial neural network</strong>
 
Added Entry - Uncontrolled Name Dehghani Mobarake, Mostafa ; Research Institute of Petroleum Industry (RIPI), Energy Technology Research Division
Sadighi, Sepehr ; Research Institute of Petroleum Industry, Catalysis Research division
 
Uncontrolled Index Term Methanol; Steam Reforming; Hybrid Artificial Neural Network; Deactivation; Hydrogen
 
Summary, etc. A Hybrid Artificial Neural Network (HANN) model for estimating the activity of a commercial Cu/ZnO/Al<sub>2</sub>O<sub>3</sub>–ZrO<sub>2</sub> catalyst in a laboratory scale methanol steam reforming reactor has been presented. This model is also capable of predicting methanol conversion, selectivity and rate of hydrogen production. In the proposed model, the decay function of heterogeneous catalysts is combined with a feed-forward artificial neural network. To identify the activity of catalyst, a set of 96 data points during 1900 min of operation are obtained from the laboratory scale reactor. From these data, 56 points are selected for training (60%), 20 data points for testing (20%) and the remained ones for validating the developed hybrid network (20%). Results show that the HANN can appreciably predict the activity of the catalyst, and it is also capable of predicting conversion, selectivity and hydrogen production with the AAD% (average absolute deviation) of 1.296, 0.451 and 0.5816%, respectively. Finally by applying the proposed HANN model, process variables i.e. temperature and water to feed ratio are optimized such that by decreasing the activity of the catalyst, the conversion, selectivity and hydrogen production rate can be preserved as equal as the start of run (SOR) values.
 
Publication, Distribution, Etc. Indian Journal of Chemical Technology (IJCT)
2019-09-26 16:53:34
 
Electronic Location and Access application/pdf
http://op.niscair.res.in/index.php/IJCT/article/view/11663
 
Data Source Entry Indian Journal of Chemical Technology (IJCT); ##issue.vol## 26, ##issue.no## 2 (2019): Indian Journal of Chemical Technololgy
 
Language Note en
 
Nonspecific Relationship Entry http://op.niscair.res.in/index.php/IJCT/article/download/11663/34786