TY - JOUR
T1 - Process simulation for mass balance of continuous biomass hydrothermal liquefaction with reaction kinetics
AU - Mordechai Koskas, Yehonatan
AU - Golberg, Alexander
AU - Gozin, Michael
AU - Kribus, Abraham
N1 - Publisher Copyright:
© 2023 The Author(s)
PY - 2023/10
Y1 - 2023/10
N2 - Hydrothermal Liquefaction (HTL) process has been investigated for biomass conversion to bio-crude and other valuable materials. However, this process modeling remains a challenge due to the high complexity of its feedstock and product compositions and the numerous chemical reactions occurring simultaneously. Here, we investigate the mass balance of the HTL reaction using a process simulation with a kinetic model previously developed for the HTL of microalgae. This model was implemented in UniSim-Design software, and the simulation's performance was validated against published experimental results for various feedstocks, including microalgae, macroalgae, food waste, and model protein. Bio-crude had the best performance for predicting the products' yields from HTL of microalgae, and aqueous-phase had the poorest. For predicting the bio-crude yield from HTL of different feedstock categories, microalgae had the best performance, and model proteins had the poorest. Insights are suggested for improved modeling towards a more robust system-design-oriented approach for process simulations.
AB - Hydrothermal Liquefaction (HTL) process has been investigated for biomass conversion to bio-crude and other valuable materials. However, this process modeling remains a challenge due to the high complexity of its feedstock and product compositions and the numerous chemical reactions occurring simultaneously. Here, we investigate the mass balance of the HTL reaction using a process simulation with a kinetic model previously developed for the HTL of microalgae. This model was implemented in UniSim-Design software, and the simulation's performance was validated against published experimental results for various feedstocks, including microalgae, macroalgae, food waste, and model protein. Bio-crude had the best performance for predicting the products' yields from HTL of microalgae, and aqueous-phase had the poorest. For predicting the bio-crude yield from HTL of different feedstock categories, microalgae had the best performance, and model proteins had the poorest. Insights are suggested for improved modeling towards a more robust system-design-oriented approach for process simulations.
KW - Hydrothermal liquefication
KW - Kinetic reactor
KW - Mass balance
KW - Process simulation
KW - Unisim-design
UR - http://www.scopus.com/inward/record.url?scp=85176249722&partnerID=8YFLogxK
U2 - 10.1016/j.ecmx.2023.100477
DO - 10.1016/j.ecmx.2023.100477
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AN - SCOPUS:85176249722
SN - 2590-1745
VL - 20
JO - Energy Conversion and Management: X
JF - Energy Conversion and Management: X
M1 - 100477
ER -
