Virtual Biorefinery | An Optimization Strategy for Renewable Carbon Valorization

Antonio Bonomi (u. a.)

ISBN 10: 3319798812 / ISBN 13: 9783319798813

Published by Springer, 2019

About this Item

Virtual Biorefinery | An Optimization Strategy for Renewable Carbon Valorization | Antonio Bonomi (u. a.) | Taschenbuch | Green Energy and Technology | xl | Englisch | 2019 | Springer | EAN 9783319798813 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 115103295

Bibliographic Details

• Title: Virtual Biorefinery | An Optimization Strategy for Renewable Carbon Valorization
• Publisher: Springer
• Publication Date: 2019
• Language: English
• ISBN 10: 3319798812
• ISBN 13: 9783319798813
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 18D millimeters 235 millimeters width by 155 millimeters height by 18 millimeters depth
• Weight: 499 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This book presents a concise framework for assessing technical and sustainability impacts of existing biorefineries and provides a possible road map for development of novel biorefineries. It offers a detailed, integrated approach to evaluate the entire biomass production chain, from the agricultural feedstock production and transportation, to the industrial conversion and commercialization & use of products. The Brazilian sugarcane biorefinery is used as a case study; however, the methods and concepts can be applied to almost any biomass alternative. Chapters explore the main issues regarding biorefinery assessment, including feedstock production and transportation modeling, biofuels and green chemistry products, as well as assessment of sustainability impacts. This book is a valuable source of information to researchers in bioenergy, green chemistry and sustainability fields. It also provides a useful framework for government agencies, investors and the energy industry to evaluate and predict the success of current and future biorefinery alternatives.