Waste to Renewable Biohydrogen, Volume 2

Waste to Renewable Biohydrogen, Volume 2

Numerical Modelling and Sustainability Assessment

1st Edition - November 1, 2022

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  • Editors: Quanguo Zhang, Chao He, Jingzheng Ren, Michael Goodsite
  • Paperback ISBN: 9780128216750

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Description

Waste to Renewable Biohydrogen, Volume Two: Numerical Modelling and Sustainability Assessment provides an integrated approach on the experimental, modeling and sustainability aspects of waste-to-biohydrogen systems. The book focuses on processes for waste treatment to hydrogen production, delving into modeling and simulation methodologies for the design and optimization of different processes and systems. In addition, it looks at the application of computational fluid dynamics and artificial neural networks. Finally, it addresses the economic, environmental and sustainability implications of waste-to-biohydrogen systems, covering several techniques for cost-benefit analysis, techno-economic analysis, lifecycle assessment, sustainability ranking and supply chain design. This well-rounded reference supports decision-making for energy researchers and industry practitioners alike, but it is also ideal for graduate students, early career researchers and waste management professionals.

Key Features

  • Includes numerical simulation models for environmental performances and sustainable supply chains
  • Explores modeling methodologies for the optimization and upscaling of sustainable technologies and systems
  • Offers global case studies and comparisons of different feedstocks

Readership

Energy research scientists and engineers in academia and industry involved in waste-to-energy and bioenergy. Graduate students, early career researchers and waste management professionals and researchers

Table of Contents

  • 1. Modelling of Biohydrogen Production System by Dark Fermentation
    2. Numerical Simulation for Photosynthetic Biological Hydrogen System
    3. CFD Simulation, Design and Optimization for Biohydrogen Systems
    4. Artificial Neural Networks for Modelling of Biohydrogen Production Systems
    5. Grey Theory based Model for the Prediction of the Yield of Biohydrogen
    6. Cost-Benefit Analysis of waste-to-biohydrogen systems
    7. Techno-economic analysis of biohydrogen production from waste
    8. Life cycle assessment of waste-to-biohydrogen systems
    9. Multi-criteria sustainability ranking of biohydrogen systems
    10. Sustainable Supply Chain Design for waste to biohydrogen
    11. Outlook of Biohydrogen from Waste: Quo Vadis?

Product details

  • No. of pages: 312
  • Language: English
  • Copyright: © Academic Press 2022
  • Published: November 1, 2022
  • Imprint: Academic Press
  • Paperback ISBN: 9780128216750

About the Editors

Quanguo Zhang

Quanguo Zhang is former Vice President and doctoral supervisor of the College of Mechanical and Electrical Engineering at Henan Agricultural University, China. He has been engaged in teaching and research work in the scientific field of biogas and biomass energy for a long time, having implemented projects from National Natural Science Foundation. Fifteen of his research projects have won the provincial science and technology awards and he holds 11 national patents. He has published more than 200 papers and produced some original results with internationally significant effects on photo-fermentative bio-hydrogen production, biogas engineering, and high efficiency combustion of biomass.

Affiliations and Expertise

Former Vice President and Doctoral Supervisor, College of Mechanical and Electrical Engineering, Henan Agricultural University, China

Chao He

Chao He is Associate Professor and deputy director of the Department of Energy and Environmental Engineering in the College of Mechanical and Electrical Engineering at Henan Agricultural University, China. He has been engaged in teaching and research work in the scientific field of biogas and biomass energy for a long time, has implemented 1 project from National Natural Science Foundation of China and 3 Henan science and technology projects of China. He has also published more than 40 papers in his field.

Affiliations and Expertise

Associate Professor and Deputy Director of the Department of Energy and Environmental Engineering, College of Mechanical and Electrical Engineering, Henan Agricultural University, China

Jingzheng Ren

Jingzheng Ren
Jingzheng Ren is Assistant Professor of Modelling for Energy, Environment and Sustainability at the Department of Industrial and Systems Engineering of Hong Kong Polytechnic University (PolyU). He has also been nominated as adjunct/honorary associate professor of University of Southern Denmark (Denmark) and associated senior research fellow of the Institute for Security & Development Policy (Stockholm, Sweden). Prof. Ren serves as board member of several scientific journals and published more than 150 papers, authored 1 book, edited more than 10 books and published more than 40 book chapters. His research focuses on process system engineering for better sustainability and mathematical models for solving energy and environmental problems and promoting sustainability transition

Affiliations and Expertise

Assistant Professor, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China

Michael Goodsite

Michael Evan Goodsite, Ph.D., is a civil- and environmental engineering full professor of University of Adelaide (UoA) and the Director of The Institute for Mineral and Energy Resources (IMER - Modern Energy Systems). His international university service includes Special Advisor to the Peking University Centre for Natural Resource Economics (China), Adjunct Professor to the University of Iceland and Non-Resident Senior Research Fellow to the Institute for Security and Development Policy (ISDP) (Stockholm, Sweden). His research interests mainly focus on modelling adaptive systems in the energy and environmental nexus and climate adaptation.

Affiliations and Expertise

Director IMER and IEP Energy Mining and Resources, Institute for Mineral and Energy Resources, Division of Research and Innovation

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