Bart Wanten

Techno-Economic and Life-Cycle Assessment for Syngas Production Using Sustainable Plasma-Assisted Methane Reforming Technologies This study combines for the first time techno-economic and life-cycle assessment metrics to evaluate the economic and environmental viability of plasma-assisted dry reforming of methane (DRM) for producing syngas from methane-rich natural gas.

Machine learning-based prediction and optimization of plasma-based conversion of CO2 and CH4 in an atmospheric pressure glow discharge plasma We developed a uniform, hybrid machine learning (ML) model, integrating both supervised learning (SL) and reinforcement learning (RL), based on several datasets across different CO2 and CH4 conversion reactions in an atmospheric pressure glow discharge plasma, to advance plasma-based CO2 and CH4 conversion.