Computational Fluid Dynamics Simulation and Reaction Network Modelling for the Hydrothermal Liquefaction of Shorea Wood Sawdust DOI Creative Commons
Mohamed Elhassan, Muhammad Raziq Rahimi Kooh, Yuan‐Fong Chou Chau

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(5), P. 1145 - 1145

Published: Feb. 26, 2025

This study investigates the hydrothermal liquefaction (HTL) aqueous phase (AP) of Shorea sawdust in a semi-flow batch reactor, focusing on reaction network and computational fluid dynamics (CFD) simulation. High-performance liquid chromatography (HPLC) was used to detect lignocellulosic decomposition compounds, revealing presence glucose, galactose, xylose, furfural, ethanol, other undefined compounds due decomposition. Reaction ordinate (R0) indicates that progresses steadily as time increases, higher temperature leads greater ordinate, agreeing with Arrhenius’ assumption gained energy enables molecules overcome activation barrier. However, saccharide C6 C5 yield at 220 °C fluctuates suggesting secondary reactions. A kinetic model built based network, which developed HPLC results. Arrhenius parameters revealed is influenced by time, whereas ethanol production are dependent. In contrast, glucose formation both temperature. The prediction yields confirmed optimal for production, balancing slow reactions rapid degradation. CFD simulations show uniform pressure distribution inside chamber high localised input (1570 Pa). addition, feedstock particles tend distribute along wall because laminar flow, consistent observation experiment. findings highlight intricate relationship between conditions composition HTL product, contributing more comprehensive understanding process.

Language: Английский

A novel kinetic calculation method via combining response surface method and lumped kinetics for degradative solvent extraction of low-grade coal DOI

Dawei Hu,

Zhenzhong Hu, Xianzhe Liu

et al.

Journal of environmental chemical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 115771 - 115771

Published: Feb. 1, 2025

Language: Английский

Citations

0
Computational Fluid Dynamics Simulation and Reaction Network Modelling for the Hydrothermal Liquefaction of Shorea Wood Sawdust DOI Creative Commons
Mohamed Elhassan, Muhammad Raziq Rahimi Kooh, Yuan‐Fong Chou Chau

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(5), P. 1145 - 1145

Published: Feb. 26, 2025

This study investigates the hydrothermal liquefaction (HTL) aqueous phase (AP) of Shorea sawdust in a semi-flow batch reactor, focusing on reaction network and computational fluid dynamics (CFD) simulation. High-performance liquid chromatography (HPLC) was used to detect lignocellulosic decomposition compounds, revealing presence glucose, galactose, xylose, furfural, ethanol, other undefined compounds due decomposition. Reaction ordinate (R0) indicates that progresses steadily as time increases, higher temperature leads greater ordinate, agreeing with Arrhenius’ assumption gained energy enables molecules overcome activation barrier. However, saccharide C6 C5 yield at 220 °C fluctuates suggesting secondary reactions. A kinetic model built based network, which developed HPLC results. Arrhenius parameters revealed is influenced by time, whereas ethanol production are dependent. In contrast, glucose formation both temperature. The prediction yields confirmed optimal for production, balancing slow reactions rapid degradation. CFD simulations show uniform pressure distribution inside chamber high localised input (1570 Pa). addition, feedstock particles tend distribute along wall because laminar flow, consistent observation experiment. findings highlight intricate relationship between conditions composition HTL product, contributing more comprehensive understanding process.

Language: Английский

Citations

0