Multi-response optimization for the production of Albizia saman bark hydrochar through hydrothermal carbonization: characterization and pyrolysis kinetic study

Sultana, Abeda; Novera, Tamanna Mamun; Islam, Md. Atikul; Limon, Sharif Hasan; Islam, Md. Azharul

doi:10.1007/s13399-020-01182-2

Cited by 10 publications

(2 citation statements)

References 64 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The pyrolysis kinetics of these hydrochars are based on first‐order and n th‐order Arrhenius models. Algorithms that have been used to estimate the kinetic parameters include the Coats–Redfern, Kissinger–Akahira–Sunose, Flynn–Wall–Ozawa, Friedman, and discrete‐distributed activation energy models 39–51 . Connecting these kinetics to particle‐scale models is essential to construct computational fluid dynamic (CFD) simulations, which can be used to assess and optimize reactor performance.…”

Section: Introductionmentioning

confidence: 99%

“…Algorithms that have been used to estimate the kinetic parameters include the Coats-Redfern, Kissinger-Akahira-Sunose, Flynn-Wall-Ozawa, Friedman, and discrete-distributed activation energy models. [39][40][41][42][43][44][45][46][47][48][49][50][51] Connecting these kinetics to particle-scale models is essential to construct computational fluid dynamic (CFD) simulations, which can be used to assess and optimize reactor performance. Computational fluid dynamic simulation of pyrolysis and fast-pyrolysis has been conducted in a variety of fixed-bed and fluidized-bed reactors but the pyrolysis kinetics involved were limited to lignocellulosic biomass and coal-based feedstocks.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Pyrolysis kinetics of hydrochar using distributed activation energy model

Kamal

Hossain

Salma

et al. 2022

Biofuels Bioprod Bioref

View full text Add to dashboard Cite

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.

show abstract

Section: Introductionmentioning

confidence: 99%