Investigation on prospective bioenergy from pyrolysis of macadamia nut shell waste using multicomponent Fraser-Suzuki kinetic model, kinetic triplet and thermodynamic parameters

The investigation of macadamia nut shell waste (MNSW) was conducted to elucidate its bioenergy potential through the analysis of physicochemical properties, kinetic triplet, reaction mechanism models, and thermodynamic parameters. The thermal degradation experiments were carried out using a thermogravimetric analyzer under nitrogen atmosphere at four different heating rates. The multicomponent Fraser-Suzuki kinetic model revealed that the primary decomposition stage could be successfully divided as the parallel devolatilization process of two, three, or four pseudo components. The thermal degradation process of MNSW can be divided into pseudo hemicellulose (PE-H), hemicellulose-lignin (PE-HL), hemicellulose-cellulose (PE-HC), cellulose (PE-C), and lignin (PE-L) employing the multicomponent Fraser-Suzuki kinetic model. The apparent activation energy (E) was calculated using Friedman, Ozawa-Flynn-Wall, Starink, and Kissinger-Akahira-Sunose four model-free methods. The average apparent activation energy calculated through the Starink model-free method was found to be 190.13 and 174.18 kJ/mol for PE-HL and PE-C, 143.79, 169.99, and 249.88 kJ/mol for PE-H, PE-C and PE-L, and 142.98, 157.15, 169.84, and 244.62 kJ/mol for PE-H, PE-HC, PE-C and PE-L, respectively. Evaluation of thermodynamic parameters showed that the pyrolysis process of each pseudo component was an endothermic non-spontaneous reaction independent of surface area and required additional heat and energy input. The pyrolysis process of all pseudo components was accurately characterized using order-based, nucleation, geometrical contraction, power law, and diffusional reaction mechanism models using master plots method. This work provides a theoretical basis for MNSW or other biomass wastes as attractive and environmentally friendly alternatives for bioenergy production, offering crucial insights for reactor design and improving conversion efficiency.