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OK - Energies August 2023 by Wasi Tahir is a document available to read on EtoBox.

This study investigates the sustainable decomposition of benzene, a model compound for biomass tar, using non-thermal plasma in a dielectric barrier discharge reactor. The research employs kinetic modeling and machine learning techniques to analyze factors affecting the decomposition process, achieving a decomposition rate of 83.01%. The findings highlight the significant impact of input power and residence time on tar analogue compound decomposition, with potential applications for improving biomass gasifi

Author
Wasi Tahir
Language
EN