Advancing Sustainable Decomposition of Biomass Tar Model Compound: Machine Learning, Kinetic Modeling, and Experimental Investigation in a Non-Thermal Plasma Dielectric Barrier Discharge Reactor

Advancing Sustainable Decomposition of Biomass Tar Model Compound: Machine Learning, Kinetic Modeling, and Experimental Investigation in a Non-Thermal Plasma Dielectric Barrier Discharge Reactor

This study examines the sustainable decomposition reactions of benzene using non-thermal plasma (NTP) in a dielectric barrier discharge (DBD) reactor. The aim is to investigate the factors influencing benzene decomposition process, including input power, concentration, and residence time, through ki...

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Bibliographic Details
Main Authors: Muhammad Yousaf Arshad, Muhammad Azam Saeed, Muhammad Wasim Tahir, Halina Pawlak-Kruczek, Anam Suhail Ahmad, Lukasz Niedzwiecki
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Energies
Subjects:
NTP reactor
benzene plasma decomposition
kinetic modeling
reactor performance and simulation
machine learning studies
Online Access:https://www.mdpi.com/1996-1073/16/15/5835

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