Biomass and low-density polyethylene waste composites gasification: Orthogonal array design of Taguchi technique for analysis and optimization

This modeling study explores and optimizes the performance of the gasification of a rice husk and low-density polyethylene waste composite utilizing an orthogonal array design of a Taguchi technique. This modeling study uses a signal to noise ratio analysis to opti-mize the gasification of rice husk and low-density polyethylene waste composite and utilizes an analysis of variance approach to identify the most important factors contrib-uting to the process. It is shown that the composition ratio of rice husk and polyethylene waste contributes significantly to the gasification performance. Increasing composition ratio of rice husk and polyethylene waste improves hydrogen concentration, decreases carbon dioxide concentration and enhances carbon monoxide concentration. Energy effi-ciency is enhanced and normalized carbon dioxide emission is improved by increasing composition ratio of rice husk and polyethylene waste. The gasification of rice husk and low-density polyethylene waste composite is efficient (total energy efficiency of 77.6%) and clean (normalized carbon dioxide emission of 2.1 g/mol, based on the composite entering the system) at its multi-objective optimum conditions. The research results support the development of a system for gasification of biomass and plastic waste composites utilizing orthogonal array design of a Taguchi approach.(c) 2022 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.

Automated summary

This modeling study explores and optimizes the gasification performance of a rice husk and low-density polyethylene waste composite. The results show that increasing the composition ratio of rice husk and polyethylene waste improves gasification performance, energy efficiency, and reduces carbon dioxide emissions.