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미이용 산림바이오매스 유래 바이오원유 가스화 전산해석 연구

CFD Modeling of Gasification of Biocrude-oil from Waste Forest Biomass

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This study investigated the utilization of waste forest biomass in South Korea by producing biocrude-oil and syngas through gasification. The physical and chemical properties of the biomass were analyzed, and computational fluid dynamics (CFD) simulations were conducted to optimize a 1 kg/h biocrude-oil gasification reactor. Results indicated that the biomass had high volatile content and calorific value, making it suitable for biocrude-oil production. CFD analysis revealed that an oxidizer flow rate of 11 –L/min ensured optimal bio-oil atomization. Simulation of the gasification process conducted at equivalence ratios of 0.2 0.4 and a reaction temperature of 1,273 K produced syngas compositions consistent with those obtained in other studies, thus validating the computational model. Overall, these findings contribute to sustainable energy development and carbon neutrality by enhancing the utilization of waste forest biomass in South Korea. Future research will integrate this model with experimental validation to improve its accuracy.

Abstract

This study investigated the utilization of waste forest biomass in South Korea by producing biocrude-oil and syngas through gasification. The physical and chemical properties of the biomass were analyzed, and computational fluid dynamics (CFD) simulations were conducted to optimize a 1 kg/h biocrude-oil gasification reactor. Results indicated that the biomass had high volatile content and calorific value, making it suitable for biocrude-oil production. CFD analysis revealed that an oxidizer flow rate of 11 –L/min ensured optimal bio-oil atomization. Simulation of the gasification process conducted at equivalence ratios of 0.2 0.4 and a reaction temperature of 1,273 K produced syngas compositions consistent with those obtained in other studies, thus validating the computational model. Overall, these findings contribute to sustainable energy development and carbon neutrality by enhancing the utilization of waste forest biomass in South Korea. Future research will integrate this model with experimental validation to improve its accuracy.

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