4.7 Article

Modelling and statistical analysis of plastic biomass mixture co-gasification

Journal

ENERGY
Volume 256, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2022.124638

Keywords

Biomass; Plastic; Thermodynamic modelling; Aspen plus; Response surface methodology; Co-gasification

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In this study, an Aspen Plus model was developed to investigate the thermodynamics of plastic/biomass co-gasification. The results showed that steam co-gasification outperforms air and oxygen-gasified processes in terms of gas composition and lower heating value (LHV). Temperature and steam to fuel ratio were found to be the most influential parameters, affecting hydrogen production, gas yield, and carbon conversion efficiency.
In this work, an Aspen Plus model was developed to study the plastic/biomass co-gasification thermodynamically. Tar inclusion and temperature restricted equilibrium approach were applied for model modification. Using different gasifying agents, it was found that steam co-gasification is superior to air and oxygen-gasified processes in terms of gas composition and lower heating value (LHV). The use of an oxygen/steam mixture enhances H2 production if the steam to fuel ratio (S/F) is kept low. The modelling results were integrated with Response Surface Methodology to study the impacts of temperature (T), steam to fuel ratio (S/F), and plastic to biomass ratio (P/B) and their interactions within the steam cogasification process. It was found that T and S/F, and their interaction, are the most influential parameters. Increasing the T, S/F, and P/B was favourable for enhancing H2 production, gas yield (GY), and carbon conversion efficiency (CCE), while CO content and LHV can be negatively affected. Using ANOVA results, empirical correlations were derived for estimating the responses (H2, CO, CO2, CH4, LHV, GY, and CCE). The optimum condition obtained using the desirability function (DF) approach was T = 921 degrees C, S/ F = 1.186, and P/B = 74.99, at which the overall desirability function was found to be DF = 0.9. (c) 2022 Elsevier Ltd. All rights reserved.

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