Könyv Waste to Renewable Biohydrogen, Volume 2 Quanguo Zhang

Waste to Renewable Biohydrogen, Volume 2

Numerical Modelling and Sustainability Assessment

Nyelv: Angol
Kötés: Puha kötésű
Kiadó: Elsevier Books
Elérhetőség: Beszállítói készleten
Küldés 14-21 napon belül
72 671 Ft
Waste to Renewable Biohydrogen: Experimental Findings and Numerical Modelling in Sustainability Asse...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2022
oldal
270
EAN
9780128216750
Enbook ID
35422575
Súly
464
Méretek
229 x 152 x 18

Teljes leírás

Waste to Renewable Biohydrogen: Experimental Findings and Numerical Modelling in Sustainability Assessment is the second volume by the same team addressing an integrated approach to experimental, modelling, and sustainability aspects of waste-to-biohydrogen systems. This volume focuses on the processes and for waste treatment to hydrogen production. Delving into modelling and simulation methodologies for the design and optimization of different processes and systems this reference also looks more 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, life cycle assessment, sustainability ranking and supply chain design, ending on a look into future trends and pathways for the commercial deployment of the conversion of wastes into biohydrogen in industrial scale. Waste to Renewable Biohydrogen’s, Volume 2 coverage, spanning technology and industry advances, systems modelling and sustainability, offers a well-rounded reference that supports decision-making of energy researchers and industry practitioners alike. Graduate students, early career researchers and waste management professionals also find here a thorough introduction to the topic and its surrounding issues. Includes numerical simulation models for environmental performances and sustainable supply chainsExplores modelling methodologies for optimization and upscaling of sustainable technologies and systemsOffers global case studies and comparison of different feedstocks

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