Comparison of optimization of response surface methodology and imperialist competitive algorithm study in the reactor temperature and the weight of the catalyst in the catalytic pyrolysis of plastic waste to fuel conversion
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Abstract: (3414 Views) |
One of the optimal methods for conversion of waste plastic to fuel is pyrolysis process.There catalyst can improve the conversion process and minimize the temperature and time needed to process the breakage of polymeric macromolecules into smaller molecules to be followed.Using this approach can be madeto protect environment and can be replaced by burning fossil fuels.In this paper for a developed mathematical model has be presented by using two approach of response surface methodology (RSM) and imperialist competitive algorithm (ICA) that has been studied on parameters and influenced model factors to explorer optimum conditions of catalytic pyrolysis.Accordingly optimal condition for liquid fuel achieved 561.92 ̊C for reactor temperature and 1.33 gr catalyst weight.For gas fuel this condition are 560.74 ̊C for reactor temperature and 1gr catalyst weight. As well as nearby results of two way confirm the convergence and accuracy of the methods and the final answers. So that the correlation between the results of the analysis of variance (ANOVA) 98.8% for liquid fuel and liquid fuel 96.5% is obtained. |
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Keywords: plastic waste, catalytic pyrolysis, plastic waste management, imperialist competitive algorithm, response surface methodology |
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Full-Text [PDF 1180 kb]
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Type of Study: Research |
Subject:
Energy Management, Conservation and Rational Use of Energy Received: 2015/01/26 | Accepted: 2015/03/17 | Published: 2016/03/9
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