Process simulation study on typical forest biomass gasification for hydrogen production based on Aspen plus
Forest biomass as a unique renewable carbon energy resource,its development of forest biomass gasification for hydrogen production is particularly important for China to reduce its dependence on fossil fuels,enhance energy se-curity,and achieve carbon peaking and neutrality goals.Given the diverse pathways of biomass gasification for hydro-gen production,a thorough evaluation and process optimization based on thermodynamic principles are particularly im-portant to achieve efficient conversion of forest biomass resources and low-cost production of green hydrogen.This study chosed sawdust as raw material,and utilized the Aspen plus software platform to construct a model of a variable pres-sure adsorption biomass gasification hydrogen production system.By using a control variable method in the gasification process,the study systematically investigated the comprehensive impact of key parameters such as oxygen equivalence ratio,gasification temperature,and steam-gas ratio on hydrogen production,heat steam generation,and system power consumption.Through detailed data analysis and comparison,it was determined that under the optimized conditions of a gasification temperature of 850℃,oxygen equivalence ratio of 0.3,and steam-to-gas ratio of 0.1,the process could achieve optimal performance.At this point,the hydrogen content in the gas composition was as high as 27.21%,ac-companied by carbon monoxide(33.15%),carbon dioxide(20.97%),steam(18.60%),nitrogen(0.06%),and trace amounts of methane.The variable pressure adsorption process generated a large volume of hydrogen gas,reaching 94.36 m3/h,with relatively high purity,but the entire system consumed a relatively high amount of electricity,at 42.57 kW·h.In conclusion,this study provides detailed data support and theoretical basis for process optimization of forest biomass gasification for hydrogen production.
forest biomassgasificationsimulationAspen plus software platformhydrogen production
NETL
NSTL
万方数据
