Modeling and Optimization of Biomass Supply Chains

Top-Down and Bottom-up Assessment for Agricultural, Forest and Waste Feedstock

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Academic Press


Paru le : 2017-08-11



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Description
Modeling and Optimization of Biomass Supply Chains: Top Down and Bottom Up Assessment for Agricultural, Forest and Waste Feedstock provides scientific evidence for assessing biomass supply and logistics, placing emphasis on methods, modeling capacities, large data collection, processing and storage. The information presented builds on recent relevant research work from the Biomass Futures, Biomass Policies and S2Biom projects. In addition to technical issues, the book covers the economic, social and environmental aspects with direct implications on biomass availability. Its chapters offer an overview of methodologies for assessing and modeling supply, biomass quality and requirements for different conversion processes, logistics and demand for biobased sectors. Case studies from the projects that inspire the book present practical examples of the implementation of these methodologies. The authors also compare methodologies for different regions, including Europe and the U.S. Biomass feedstock-specific chapters address the relevant elements for forest, agriculture, biowastes, post-consumer wood and non-food crops. Engineers in the bioenergy sector, as well as researchers and graduate students will find this book to be a very useful resource when working on optimization and modeling of biomass supply chains. For energy policymakers, analysts and consultants, the book provides consistent and technically sound projections for policy and market development decisions. - Provides consistent ratios and indicators for assessing biomass supply and its logistical component - Explores assumptions behind the assessment of different types of biomass, including key technical and non-technical factors - Presents the existing modeling platforms, their input requirements and possible output projections
Pages
292 pages
Collection
n.c
Parution
2017-08-11
Marque
Academic Press
EAN papier
9780128123034
EAN PDF
9780128123041

Informations sur l'ebook
Nombre pages copiables
29
Nombre pages imprimables
29
Taille du fichier
4393 Ko
Prix
145,59 €
EAN EPUB SANS DRM
9780128123041

Prix
145,59 €

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