Green Hydrogen Generation From Biomass | 39.97 MB
Title: Green Hydrogen Generation From Biomass
Author: Yasser Vasseghian;Hesam Kamyab;Changlei Xia;
Category: Nonfiction, Science & Nature, Science, Physics, Energy, Technology, Power Resources
Language: English | 358 Pages | ISBN: 0443439702
Description:
Green Hydrogen Generation from Biomass begins with an introduction to green hydrogen and its generation methods and gradually explores complete methods for using biomass to produce sustainable hydrogen. It discusses microbial pathways and advanced technologies, such as dark fermentation and photofermentation, to produce hydrogen. This book reviews the latest scientific achievements in the field of microbial engineering for enhanced biohydrogen generation. In addition, the environmental impacts and a life cycle assessment of this clean fuel are also discussed. In the final chapters, methods for biohydrogen storage and distribution, its use in transportation, and comparison with common hydrogen generation technologies are examined to provide the reader with a comprehensive understanding of the subject. The final chapters include a review of costs, techno-economic assessment, government regulations, and innovative applications of artificial intelligence in biohydrogen generation. – Examines the biochemical processes and technologies used to make biohydrogen and compares different approaches, such as microbial fermentation, dark fermentation, and photofermentation – Discusses the economic and environmental feasibility of biohydrogen generation methods, analyzing in detail the startup and implementation costs, government regulations, and legal incentives – Explores the latest developments, most interesting research areas, and recent developments in the field of biohydrogen generation and outlines the future outlook for this technology – Presents how to connect green hydrogen generation to clean energy systems, analyzing the benefits, challenges, and key solutions to make it more efficient and less harmful environment impacts – Demonstrates how artificial intelligence can help make green hydrogen generation from biomass by selecting the best feedstock, controlling the generation process intelligently, and predicting the results
Green Hydrogen Generation from Biomass begins with an introduction to green hydrogen and its generation methods and gradually explores complete methods for using biomass to produce sustainable hydrogen. It discusses microbial pathways and advanced technologies, such as dark fermentation and photofermentation, to produce hydrogen. This book reviews the latest scientific achievements in the field of microbial engineering for enhanced biohydrogen generation. In addition, the environmental impacts and a life cycle assessment of this clean fuel are also discussed. In the final chapters, methods for biohydrogen storage and distribution, its use in transportation, and comparison with common hydrogen generation technologies are examined to provide the reader with a comprehensive understanding of the subject. The final chapters include a review of costs, techno-economic assessment, government regulations, and innovative applications of artificial intelligence in biohydrogen generation. – Examines the biochemical processes and technologies used to make biohydrogen and compares different approaches, such as microbial fermentation, dark fermentation, and photofermentation – Discusses the economic and environmental feasibility of biohydrogen generation methods, analyzing in detail the startup and implementation costs, government regulations, and legal incentives – Explores the latest developments, most interesting research areas, and recent developments in the field of biohydrogen generation and outlines the future outlook for this technology – Presents how to connect green hydrogen generation to clean energy systems, analyzing the benefits, challenges, and key solutions to make it more efficient and less harmful environment impacts – Demonstrates how artificial intelligence can help make green hydrogen generation from biomass by selecting the best feedstock, controlling the generation process intelligently, and predicting the results
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