A predictive PBM-DEAM model for lignocellulosic biomass pyrolysis

Zhu, Huajun; Dong, Zhujun; Yu, Xi; Cunningham, G. C.; Umashanker, Janaki; Zhang, Xingguang; Bridgwater, Anthony V.; Cai, Junmeng

doi:10.1016/j.jaap.2021.105231

Cited by 8 publications

(2 citation statements)

References 62 publications

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“…The DAEM can accommodate multiple activation energy distributions and predicts the complicated pyrolysis profiles of heterogenous feedstocks 64–69 . While DAEM based pyrolysis kinetics can be computationally expensive, they offer superior precision and have been employed successfully in CFD simulations of fixed, fluidized, downdraft, entrained flow, and droptube pyrolyzers 70–74 . Furthermore, the intrinsic kinetic parameters of DAEM obtained from low heating rate TGA experiments (5, 10 and 20 K min −1 ) have been shown to predict pyrolysis successfully at the particle scale under industrially relevant reactor heating rates (200–1000 K min −1 ) 71,75 .…”

Section: Introductionmentioning

confidence: 99%

“…[64][65][66][67][68][69] While DAEM based pyrolysis kinetics can be computationally expensive, they offer superior precision and have been employed successfully in CFD simulations of fixed, fluidized, downdraft, entrained flow, and droptube pyrolyzers. [70][71][72][73][74] Furthermore, the intrinsic kinetic parameters of DAEM obtained from low heating rate TGA experiments (5, 10 and 20 K min −1 ) have been shown to predict pyrolysis successfully at the particle scale under industrially relevant reactor heating rates (200-1000 K min −1 ). 71,75 Keeping that in mind, this study performed an in-depth investigation of pyrolysis kinetics of HTC char from MSW supported with structural and morphological analysis using Fouriertransform infrared (FTIR) spectroscopy and scanning electron microscopy (SEM), respectively.…”

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confidence: 99%

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Pyrolysis kinetics of hydrochar using distributed activation energy model

Kamal

Hossain

Salma

et al. 2022

Biofuels Bioprod Bioref

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Producing hydrochar from landfill municipal solid wastes (MSW) is a sustainable alternative to existing waste management practices in low-and middle-income countries. In this study, mixed MSW feedstock (sent for landfilling) was subjected to hydrothermal carbonization to produce hydrochars. The hydrochar showing the highest heating value was subjected to pyrolysis at 5, 10, and 20 K min −1 heating rates. Based on the pyrolysis characteristics, a three pseudo-component-based distributed activation energy model was employed to describe the pyrolysis kinetics. The activation energy distributions for the three pseudo-components were 140 ± 8.7 kJ mol −1 , 190 ± 1 kJ mol −1 and 175.9 ± 24.9 kJ mol −1 , which were able to predict the pyrolysis profile at all heating rates with R 2 > 0.999. Differential thermogravimetric profiles of the hydrochar revealed its pyrolytic reactivity to resemble lignocellulosic constituents. Fouriertransform infrared analysis of the hydrochar showed retention of oxygen-containing functional groups (associated with lignocellulosic constituents) from the parent feedstock.

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Section: Introductionmentioning

confidence: 99%