Catalytic co-pyrolysis of oil palm empty fruit bunches (EFB) and surgical face mask (SFM) wastes: Thermo-kinetic study, ANN model fitting, and synergistic effect
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引用次数: 0
Abstract
Background
Catalytic co-pyrolysis process is an emerging thermochemical pathway to convert multiple wastes, such as biomass and municipal solid wastes into value added fuels. The ecology would suffer from mishandling of these materials, leading to landfills and microplastic contamination. However, the co-pyrolysis of the surgical face mask (SFM) wastes with biomass remains a niche research area.
Methods
The co-pyrolysis performance, kinetics and thermodynamics of oil palm empty fruit bunches (EFB) and SFM mixture were evaluated via thermogravimetric analysis (TGA) approach at heating rates from 10 to 100 °C.min−1 with weight ratio of 1:1, 4:1 and 1:4. Additionally, the development of the artificial neural network (ANN) model to represent the thermal degradation behaviour of the overall catalytic co-pyrolysis process for EFB and SFM mixtures.
Significant findings
The highest average pyrolysis performance index, Ir value of 8.11 was found in the reaction at 50 °C.min−1. The weight change, ΔWTGA showed the thermal degradation behaviour of EFB and SFM co-pyrolysis exhibited predominantly inhibitory characteristics, as the experimental values were higher than the theoretical values. Moreover, the HZSM-5 catalyst showed great affinity towards the sample matrix, achieving high reduction of activation energy and difference in enthalpy of 13.54 % and 14.94 %, respectively.
期刊介绍:
Journal of the Taiwan Institute of Chemical Engineers (formerly known as Journal of the Chinese Institute of Chemical Engineers) publishes original works, from fundamental principles to practical applications, in the broad field of chemical engineering with special focus on three aspects: Chemical and Biomolecular Science and Technology, Energy and Environmental Science and Technology, and Materials Science and Technology. Authors should choose for their manuscript an appropriate aspect section and a few related classifications when submitting to the journal online.