Artificial Intelligence in Biofuels Production

Artificial Intelligence in Biofuels Production, 1st Edition, is a reference volume focused on computational applications in sustainable fuel development. Edited by El-Sayed Salama and published as part of the Woodhead Series in Bioenergy, this text guides researchers, engineers, industry entrepreneurs, and renewable energy professionals through modern computational methods in bioenergy production.

The volume addresses fundamental feedstocks, including biomass, biowaste, and wastewater, before examining liquid and gaseous fuel systems. Specific sections analyze biodiesel, bioethanol, bio-oil, aviation biofuels, bio-hythane, biogas, bio-hydrogen, and bioelectricity. Further coverage investigates environmental and social impacts, rural development, regional policy frameworks, and structured roadmaps toward net-zero emissions.

As a defining analytical feature, the volume details mathematical equations and machine learning models designed to optimize biofuel yields, enhance process efficiency, and minimize operational costs. This single-volume reference provides practical support for anyone involved in biofuel research and industrial bioenergy deployment.