Lignocellulosic biomass is a promising feedstock for second-generation bioenergy due to its low value and abundance. Different types of lignocellulosic biomass require specific pretreatment methods to enhance biorefinery processes. This book provides state-of-the-art information on recent developments in available pretreatment methods. It offers an overview of structural analysis of pretreated lignocellulosic biomass using various techniques, including optimization and prediction of bioenergy production with the help of statistical and artificial intelligence models. Features: Focuses on lignocellulosic biomass pretreatment for bioenergy production Discusses environmental and social impacts, as well as economic approaches, of different pretreatment methods Covers the economic realities and environmental implications of each pretreatment technique Evaluates the performance of individual pretreatment techniques on biogas and methane yields Includes applications of statistical, artificial intelligence, and kinetic models This book is intended for graduate students and researchers in bioprocessing, bioresource management, bioeconomy, and sustainability.