Repository of Research and Investigative Information

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Ilam University of Medical Sciences

Experimental Study and Mathematical Modeling of Propane-SCR-NOx Using Group Method of Data Handling and Artificial Neural Network

Wed Jun 29 10:57:01 2022

(2016) Experimental Study and Mathematical Modeling of Propane-SCR-NOx Using Group Method of Data Handling and Artificial Neural Network. International Journal of Chemical Reactor Engineering. pp. 559-569. ISSN 2194-5748

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Abstract

In this study, the catalytic behavior of protonated clinoptilolite in propane-SCR-NOx was investigated. The experiments were carried out in the temperature range of 200-500 degrees C as a function of zeolite mesh size 20, 35 and 70 at different weights of zeolite (0.45-1 g) and flow rates (300-600 ml/min) and consequently at various gas hourly space velocities (GHSV). Group method of data handling (GMDH) and artificial neural network (ANN) system were applied for mathematical modeling of NOx conversion to N-2 in propane-SCR-NOx. The operating temperature (T), volumetric flow rate (F) and the weight of clinoptilolite zeolite (W) and the conversion of NOx to N-2 (X) were considered as the inputs and output, respectively. In order to evaluate the models performance, conversions of NOx obtained from the GMDH and ANN systems were compared with those obtained from the experimental method. It is concluded that the ANN could successively estimate the conversion and the results were in a good agreement with the experimental data.

Item Type: Article
Creators:
CreatorsEmail
Ghasemian, N.UNSPECIFIED
Nourmoradi, H.UNSPECIFIED
Keywords: NOx conversion propane-SCR-NOx model GMDH artificial neural network selective catalytic-reduction liquid-liquid equilibrium clinoptilolite-zeolite genetic algorithm nitric-oxide water-vapor methane optimization systems design Engineering
Divisions:
Page Range: pp. 559-569
Journal or Publication Title: International Journal of Chemical Reactor Engineering
Journal Index: ISI
Volume: 14
Number: 2
Identification Number: https://doi.org/10.1515/ijcre-2015-0159
ISSN: 2194-5748
Depositing User: مهندس مهدی شریفی
URI: http://eprints.medilam.ac.ir/id/eprint/474

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