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Related Experiment Video

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Separation of Aldehydes and Reactive Ketones from Mixtures Using a Bisulfite Extraction Protocol

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Screening method for solvent selection used in tar removal by the absorption process.

Eve Masurel¹, Olivier Authier, Christophe Castel

¹a Department of Fluid Dynamics , Power Generation and Environment , 6 quai Watier, 78400 Chatou , France.

Environmental Technology

|April 14, 2015

Summary

This summary is machine-generated.

This study identifies methyl oleate as a promising solvent for removing tar from biomass gasification flue gas. This selective absorption process prevents engine deposits and optimizes gas utilization.

Keywords:

biomass gas–liquid absorption solvent screening tar removal vapour–liquid equilibrium

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Area of Science:

Chemical Engineering
Environmental Science
Materials Science

Background:

Biomass gasification produces flue gas containing tar, which can cause condensation and engine deposits.
Effective tar removal is crucial for utilizing flue gas components (H2, CO, light hydrocarbons) in internal combustion engines.

Purpose of the Study:

To investigate and select an optimal solvent for selective tar removal from fluidized bed biomass gasification flue gas.
To evaluate solvents based on physicochemical properties for efficient gas treatment.

Main Methods:

Solvent preselection using Hansen parameters for tar solubility and Antoine law for vapor pressure.
Experimental measurements of liquid-vapor equilibrium data using bubbling point and absorption cell.
Theoretical validation using the UNIFAC-Dortmund model.

Main Results:

Methyl esters, particularly methyl oleate, were identified as promising solvents.
Experimental and theoretical data confirmed methyl oleate's high potential for tar absorption.
Good agreement was observed between experimental and UNIFAC-Dortmund model results.

Conclusions:

Methyl oleate is a highly effective solvent for selective tar removal from biomass gasification flue gas.
The chosen gas-liquid absorption method, with optimized solvents, addresses tar issues in gas utilization.
The study validates the use of Hansen parameters, Antoine law, and UNIFAC-Dortmund for solvent selection and performance prediction.