TY - JOUR
T1 - A comprehensive review of thermogravimetric analysis in lignocellulosic and algal biomass gasification
AU - Felix, Charles B.
AU - Chen, Wei Hsin
AU - Ubando, Aristotle T.
AU - Park, Young Kwon
AU - Lin, Kun Yi Andrew
AU - Pugazhendhi, Arivalagan
AU - Nguyen, Thanh Binh
AU - Dong, Cheng Di
N1 - Publisher Copyright:
© 2022 Elsevier B.V.
PY - 2022/10/1
Y1 - 2022/10/1
N2 - Global concern about energy security, climate change, and increasing wastes have propelled the utilization of waste-to-energy technologies. Gasification is a robust thermochemical process that can handle a diverse range of biomass feedstocks and residues with various physicochemical properties while producing several value-added bioproducts and bioenergy. Meanwhile, the use of thermogravimetric analysis to determine the sample mass loss rate under a high-temperature gasification environment is a promising way to understand the chemical reactions, reactivities, and kinetic parameters of the thermochemical processes. This review focuses on the benefits of utilizing thermogravimetry for the biomass gasification process, with particular attention paid to the determination of kinetic parameters such as the pre-exponential coefficient and activation energies, resulting from model-fitting and model-free approaches. Relevant gasification parameters such as onset temperatures, residence times, and other important findings are also reported. Future trends are opined to be leaned towards the more extensive blending of biomass feedstocks with either coal, wastes, or other types of biomass, and applying artificial intelligence to improve data processing, prediction, and optimization of gasifier designs. This study also underlines integration with other modern analytical equipment to better characterize product evolution.
AB - Global concern about energy security, climate change, and increasing wastes have propelled the utilization of waste-to-energy technologies. Gasification is a robust thermochemical process that can handle a diverse range of biomass feedstocks and residues with various physicochemical properties while producing several value-added bioproducts and bioenergy. Meanwhile, the use of thermogravimetric analysis to determine the sample mass loss rate under a high-temperature gasification environment is a promising way to understand the chemical reactions, reactivities, and kinetic parameters of the thermochemical processes. This review focuses on the benefits of utilizing thermogravimetry for the biomass gasification process, with particular attention paid to the determination of kinetic parameters such as the pre-exponential coefficient and activation energies, resulting from model-fitting and model-free approaches. Relevant gasification parameters such as onset temperatures, residence times, and other important findings are also reported. Future trends are opined to be leaned towards the more extensive blending of biomass feedstocks with either coal, wastes, or other types of biomass, and applying artificial intelligence to improve data processing, prediction, and optimization of gasifier designs. This study also underlines integration with other modern analytical equipment to better characterize product evolution.
KW - Bioenergy
KW - Biomass
KW - Gasification
KW - Kinetics
KW - Thermochemical conversion
KW - Thermogravimetric analysis
UR - http://www.scopus.com/inward/record.url?scp=85129707034&partnerID=8YFLogxK
U2 - 10.1016/j.cej.2022.136730
DO - 10.1016/j.cej.2022.136730
M3 - Article
AN - SCOPUS:85129707034
SN - 1385-8947
VL - 445
JO - Chemical Engineering Journal
JF - Chemical Engineering Journal
M1 - 136730
ER -