The Yield Prediction of Synthetic Fuel Production from Pyrolysis of Plastic Waste by Levenberg-Marquardt Approach in Feedforward Neural Networks Model.

Faisal Abnisa,Shafferina Dayana Anuar Sharuddin,Mohd Fauzi Bin Zanil,Wan Mohd Ashri Wan Daud,Teuku Meurah Indra Mahlia

doi:10.3390/polym11111853

Faisal Abnisa, Shafferina Dayana Anuar Sharuddin + Show 3 more

Open Access

https://doi.org/10.3390/polym11111853

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Abstract

The conversion of plastic waste into fuel by pyrolysis has been recognized as a potential strategy for commercialization. The amount of plastic waste is basically different for each country which normally refers to non-recycled plastics data; consequently, the production target will also be different. This study attempted to build a model to predict fuel production from different non-recycled plastics data. The predictive model was developed via Levenberg-Marquardt approach in feed-forward neural networks model. The optimal number of hidden neurons was selected based on the lowest total of the mean square error. The proposed model was evaluated using the statistical analysis and graphical presentation for its accuracy and reliability. The results showed that the model was capable to predict product yields from pyrolysis of non-recycled plastics with high accuracy and the output values were strongly correlated with the values in literature.

Highlights

The depletion of fossil fuels and the impact of their applications on the environment have forced many scientists around the world to innovate in generating alternative energy [1]
This study aims at predicting the potential product yields from the pyrolysis of plastic waste that consists of different composition of plastic ratios by developing a predictive neural network model
The regression analysis showed that the obtained R22 values establishment of this predictive model

Summary

Introduction

The depletion of fossil fuels and the impact of their applications on the environment have forced many scientists around the world to innovate in generating alternative energy [1]. Solar and wind energies are environmentally friendly technologies, they depend on the environment condition, and as a consequence, the new problem on how to eliminate the dependency on these natural sources has emerged. This issue has inspired the researcher to develop the energy storage device by searching the reliable materials which have excellent thermal properties and are stable [9,10,11]. Plastics are made from the petroleum-based material which basically

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