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E valuation and optimization of an organosolv process. E valuation and optimization of an organosolv process Adela Drljo, Felix Weinwurm, Anton Friedl adrljo@mail.tuwien.ac.at , felix.weinwurm@tuwien.ac.at. E valuation and optimization of an organosolv process.
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Evaluation and optimization of an organosolv process Evaluation and optimization of an organosolv process Adela Drljo, Felix Weinwurm,Anton Friedl adrljo@mail.tuwien.ac.at, felix.weinwurm@tuwien.ac.at
Evaluation and optimization of an organosolv process • “Organosolv” is a procedure for „clean“ biomass fractionation, that uses an organic solvent to obtain lignin, cellulose and hemicellulose from lignocellulosic materials. • At the first stage of research, our working group deals with an organosolv process evaluation through different stages: biomass fractionation, membrane filtration of black liquor, lignin isolation and solvent recovery. • We also use the advantages of process simulation to design and optimize the whole process. • Working group • Experimentalevaluation • Processsimulation
Evaluation and optimization of an organosolv process Organosolv fractionation: • Treatment in a high pressure autoclave at elevated temperature and pressure. • Structure of lignocellulosic biomass is broken up, carbohydrates and lignin are released into the organosolv liquor. Solid residue Solid/Liquidseparation Lignocellulosicbiomass Organosolv liquor: • Sugar analysis (monomeric/oligomeric) • Lignin content Organic solvent + water
Evaluation and optimization of an organosolv process • Membrane filtration is expected to be an effective tool to: • Clean the organosolv liquor • Separate valued components • Concentrate the organosolv liquor • Compared to other processes, we aim to: • Reduce the energy demand • Reduce the chemicals consumption Concentrate Liquor Permeate Membrane unit
Evaluation and optimization of an organosolv process Process simulation: • Carried out with simulation software Aspen Plus V7.1 • Used for development of process simulation model Goals: • Mass and energy balance calculation • Recycling and recovery issues • Performance optimization • Heat integration