Technology of Hydrogen Production Based on Electrophysical Ionization Using Machine Learning
Abstract
This study presents a comprehensive investigation of a high-efficiency hydrogen production process using electrophysical ionization (EFI) with machine learning (ML)-driven intelligent control. The global demand for hydrogen as an eco-friendly energy carrier necessitates technologies with high energy efficiency (>50 kWh/kg H₂) and low production costs. Traditional methods like steam reforming and electrolysis face limitations in energy consumption (>50 kWh/kg H₂), efficiency (
Fields of Study & Subjects
Hybrid Renewable Energy Systems
Plasma Applications and Diagnostics
Advanced Power Generation Technologies
Publication details
- Journal / source
- Bulletin of Science and Practice
- Volume
- 12
- Issue
- 1
- Pages
- 111–116
- Publication date
- 13 January 2026
- Language
- RU