Integration of PRO/II simulation and XGBoost machine learning for predicting and optimizing hydrogen-rich syngas from air-blown biomass–plastic co-gasification

International Journal of Hydrogen Energy 2026

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Authors: Victor Hugo Xavier Bernardes, Rubens Gedraite, Nicolas Spogis, Sarah Arvelos

DOI: 10.1016/j.ijhydene.2026.153747

Cited by: 1

References: 47

Fields of Study & Subjects

Thermochemical Biomass Conversion Processes Anaerobic Digestion and Biogas Production Subcritical and Supercritical Water Processes

References 47