A novel pseudo-multicomponent isoconversional approach for the estimation of kinetic and thermodynamic parameters of potato stalk thermal degradation. (May 2023)

• Record Type: Journal Article
• Authors: Nawaz, Ahmad; Kumar, Pradeep
• Is Part Of: Bioresource technology. Volume 376(2023)
• Publication Date: 2023-05
• Subjects: Pyrolysis kinetics -- Pseudo-component -- Multicomponent modelling -- ANN; Biomass -- Periodicals; Biomass energy -- Periodicals; Bioremediation -- Periodicals; Agricultural wastes -- Periodicals; Factory and trade waste -- Periodicals; Organic wastes -- Periodicals; Bioénergie -- Périodiques; Déchets agricoles -- Périodiques; Déchets industriels -- Périodiques; Déchets organiques -- Périodiques; Déchets (Combustible) -- Périodiques; 662.88
• DOI: 10.1016/j.biortech.2023.128846
• Languages: English
• ISSNs: 0960-8524

Abstract

Graphical abstract: Highlights: Multicomponent kinetic analysis of PS stalks were investigated. Activation energies of pseudocomponents were as 103.92, 116.55 and 378.93 kJ/mol. Thermodynamic analysis established that difference of E and ΔH is ∼ 3 to 7 kJmol −1 . Lower α are dominated by D1 or D3, whereas higher α are dominated by F3 mechanism. ANN and deconvolution method have R 2 value of 0.999 and 0.986 respectively. Abstract: This study examined the thermal degradation kinetics of potato stalk (PS) using a unique isoconversional technique. The kinetic analysis was assessed based on mathematical deconvolution approach with model-free method. The thermogravimetric analyzer (TGA) was used for the non-isothermal pyrolysis of PS at different heating rates. The Gaussian function was then used to extract three pseudo-components (PC) from the TGA findings. The average activation energy value for PS (125.99, 122.79, and 122.85 kJ/mol), PC1 (106.78, 103.83, and 103.92 kJ/mol), PC2 (120.26, 116.31, and 116.55 kJ/mol), and PC3 (373.12, 379.40, and 378.93 kJ/mol) based on OFW, KAS, and VZN model respectively. Furthermore, an artificial neural network (ANN) was used to forecast the thermal degradation data. The findings demonstrated a significant correlation between real and anticipated values. The kinetic and thermodynamic results, along with ANN are critical for constructing pyrolysis reactors that might use waste biomass as a potential feedstock for bioenergy production.