Hydrothermal Liquefaction of Model Components of Biomass For Yield Prediciton
Hydrothermal liquefaction (HTL) is a promising technology for crude bio-oil production from a variety of biomass, however, there is a lack of prediction models for HTL products and understanding of reaction pathways. Prediction models for biocrude yield and solid residue yield were developed by using a mixture design of five model components, including xylan (hemicellulose), crystalline cellulose, alkaline lignin, soya protein and soybean oil in this study. The model predictability was verified by using actual feedstock as well as a mixture of model components based on the chemical composition of that feedstock. The biocrude yield, solid residue yield and quantitative chemical yields obtained from bio-oil characterization were used to explore the possible reaction pathways as well as synergistic and/or antagonistic interactions between two studied model components.
Keywords - Hydrothermal Liquefaction, Quantitative Prediction Model, Bio-Oil, Mixture Design.