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...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Muhammad Yousaf Arshad, Muhammad Azam Saeed, Muhammad Wasim Tahir, Halina Pawlak-Kruczek, Anam Suhail Ahmad, Lukasz Niedzwiecki
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2023-08-01
Edice:	Energies
Témata:	NTP reactor benzene plasma decomposition kinetic modeling reactor performance and simulation machine learning studies
On-line přístup:	https://www.mdpi.com/1996-1073/16/15/5835
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!