Daniel M. Madyira

The growing need for sustainable energy solutions has driven research into co-combustion processes, where coal is blended with biomass to reduce emissions and enhance efficiency. This book overviews best practices to optimize the combustion processes through use of Computational fluid dynamics (CFD) simulations and offer a directed approach to solid fuel combustion modelling. It equips the reader with an understanding of combustion parameter optimization, understanding of modelling from a thermodynamic-fluid dynamic-mass transfer perspective. Key features- 1 Offers a specialized approach to solid fuel co-combustion, using computational fluid dynamics (CFD) to model and optimize combustion processes for sustainable energy solutions 2 Combines theoretical and practical applications, with a focus on energy optimization amd emissions reduction 3 Includes modeling of complex phenomena such as co-firing and chemical looping 4 Give insights into important sub-models required during combustion modelling forming the basis of reliable models 5 Contains detailed case studies and real-world applications This book is aimed at graduate students and researchers in thermodynamics, combustion, energy engineering, fluid dynamics and clean processes.

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. 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.