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.
This book is intended for graduate students and researchers in bioprocessing, bioresource management, bioeconomy, and sustainability.
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Kehinde O. Olatunji received his Ph.D. in Mechanical Engineering from the University of Johannesburg, South Africa, in 2023 and a Master of Technology in Agricultural Engineering from Ladoke Akintola University of Technology, Ogbomoso, Nigeria, in 2019. He is a postdoctoral research fellow at the University of Johannesburg, South Africa, and a Research Coordinator at Process Energy and Environmental Technology Station (PEETS), University of Johannesburg, South Africa. His research interests are waste-to-energy, biorefinery, waste management, and the application of artificial intelligence to energy recovery from organic wastes. He has authored and co-authored several peer-reviewed articles in reputable international journals and has presented at various academic/renewable energy/waste management conferences. He is currently co-supervising master's students researching energy recovery from biomass and working on applying the findings with PEETS. Kehinde is a corporate member of the Nigerian Institution of Agricultural Engineers (NIAE), Nigerian Society of Engineers (NSE), and a Registered Engineer with the Council for Regulation of Engineering Practices in Nigeria (COREN). He holds an academic excellence award as the 3rd best PhD student in the Faculty of Engineering and the Built Environment of the University of Johannesburg in 2022.
Daniel M. Madyira is a registered Professional Engineer and currently an Associate Professor of Mechanical Engineering in the Department of Mechanical Engineering Science, Faculty of Engineering and the Built Environment, at the University of Johannesburg. He has taught a wide range of core mechanical engineering courses, including machine design, fluid dynamics, thermodynamics, strength of materials, and biomass processing. He is a highly experienced mechanical engineer and academic with over 30 years of experience in both academia and industry. He is passionate about engineering design with special expertise in machine component stress analysis and thermal systems analysis. He has developed several mechanical designs addressing a range of contemporary societal problems, including biomass briquetting and solar crop drying, as well as advanced mechanical systems such as rotating bending fatigue testing machines. His research interests range from high-speed machining of titanium and fatigue of titanium and composites to natural composites, biomass briquetting, and biomass combustion modelling, as well as the fracture behaviour of materials produced using modern manufacturing techniques such as additive manufacturing. Additionally, he focuses on post-weld heat treatment of steels using weld beads. He is also involved in several industry-related activities, addressing specific problems within the industry. This makes his academic work relevant to industry and fruitful to his students. He has edited two conference proceedings, published two chapters of book, several journal papers, and more than 150 refereed conference papers. He has registered one patent and graduated seven PhD students as supervisor and co-supervisor, as well as 34 MSc and MPhil students. and MTech. students and supervised more than 20 international MSc interns. He is currently supervising and co-supervising 10 PhD students and more than 20 master’s students.
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.
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Hardcover. Etat : new. Hardcover. 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 productionDiscusses environmental and social impacts, as well as economic approaches, of different pretreatment methodsCovers the economic realities and environmental implications of each pretreatment techniqueEvaluates the performance of individual pretreatment techniques on biogas and methane yieldsIncludes applications of statistical, artificial intelligence, and kinetic modelsThis book is intended for graduate students and researchers in bioprocessing, bioresource management, bioeconomy, and sustainability. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781041004615
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Hardcover. Etat : new. Hardcover. 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 productionDiscusses environmental and social impacts, as well as economic approaches, of different pretreatment methodsCovers the economic realities and environmental implications of each pretreatment techniqueEvaluates the performance of individual pretreatment techniques on biogas and methane yieldsIncludes applications of statistical, artificial intelligence, and kinetic modelsThis book is intended for graduate students and researchers in bioprocessing, bioresource management, bioeconomy, and sustainability. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781041004615
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Hardback. Etat : New. 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 productionDiscusses environmental and social impacts, as well as economic approaches, of different pretreatment methodsCovers the economic realities and environmental implications of each pretreatment techniqueEvaluates the performance of individual pretreatment techniques on biogas and methane yieldsIncludes applications of statistical, artificial intelligence, and kinetic modelsThis book is intended for graduate students and researchers in bioprocessing, bioresource management, bioeconomy, and sustainability. N° de réf. du vendeur LU-9781041004615
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