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Titlebook: Handbook of Bioenergy; Bioenergy Supply Cha Sandra D. Eksioglu,Steffen Rebennack,Panos M. Pard Book 2015 Springer International Publishing

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發(fā)表于 2025-3-21 18:47:16 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Handbook of Bioenergy
副標(biāo)題Bioenergy Supply Cha
編輯Sandra D. Eksioglu,Steffen Rebennack,Panos M. Pard
視頻videohttp://file.papertrans.cn/421/420889/420889.mp4
概述Presents cutting-edge research on bioenergy supply chain optimization.Includes contributions from leading experts in the field.Covers several aspects of bioenergy including supply chain design, supply
叢書名稱Energy Systems
圖書封面Titlebook: Handbook of Bioenergy; Bioenergy Supply Cha Sandra D. Eksioglu,Steffen Rebennack,Panos M. Pard Book 2015 Springer International Publishing
描述.This handbook brings together recent advances in the areas of supply chain optimization, supply chain management, and life-cycle cost analysis of bioenergy. These topics are important for the development and long-term sustainability of the bioenergy industry. .The increasing interest in bioenergy has been motivated by its potential to become a key future energy source. The opportunities and challenges that this industry has been facing have been the motivation for a number of optimization-related works on bioenergy. .Practitioners and academicians agree that the two major barriers of further investments in this industry are biomass supply uncertainty and costs. The goal of this handbook is to present several cutting-edge developments and tools to help the industry overcome these supply chain and economic challenges..Case studies highlighting the problems faced by investors in the US and Europe illustrate the impact of certain tools in making bioenergy an economically viable energy option.?.
出版日期Book 2015
關(guān)鍵詞Bioenergy; Biofuel; Carbon footprint; Optimization; Supply chain; Engineering Economics
版次1
doihttps://doi.org/10.1007/978-3-319-20092-7
isbn_softcover978-3-319-35401-9
isbn_ebook978-3-319-20092-7Series ISSN 1867-8998 Series E-ISSN 1867-9005
issn_series 1867-8998
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

書目名稱Handbook of Bioenergy影響因子(影響力)




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發(fā)表于 2025-3-21 20:37:33 | 只看該作者
Biomass to Energy Supply Chain Network Design: An Overview of Models, Solution Approaches and Appli, management and operation of biomass to energy supply chains. This study allows readers to identify the decision making methods that satisfy the problem specific requirements and offer a clear vision of the advances in the field.
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Life-Cycle Assessment of Bio-Fuel Production Using Syngas from Biomass,package, and the NREL and databases, this LCA shows that the system producing the syngas from biomass has very similar emissions to natural gas and the gasification process is the one with the major impact potential.
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發(fā)表于 2025-3-22 16:00:10 | 只看該作者
Book 2015energy. These topics are important for the development and long-term sustainability of the bioenergy industry. .The increasing interest in bioenergy has been motivated by its potential to become a key future energy source. The opportunities and challenges that this industry has been facing have been
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發(fā)表于 2025-3-22 17:04:04 | 只看該作者
https://doi.org/10.1057/9781137318145chapter. The first case presents a forest to bioenergy supply chain in a region of the Norwegian west coast. The second case presents the miscanthus supply chain to a transformation plant in Burgundy, France and takes into consideration uncertain final demand.
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Photographic Practice and Art Theory,glycerol and wood chip to purchase, the amounts of products to deliver, the amount of biodiesel to produce, the modes of transportation and the suppliers to use in order to minimize the system wide cost. Numerical analysis identifies Lincoln, Mississippi and Naheola, Alabama as two potential locations for biocrude plants.
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發(fā)表于 2025-3-23 06:22:33 | 只看該作者
Wrong Experiments as a Teaching Tool,omprehensive and multi-disciplinary tool for bioenergy supply chain design following an iterative process. The tool is further enhanced by the incorporation of supply chain risk modeling to capture various uncertainties. A proof of concept case study is presented to illustrate the applicability of this framework to any given geographic region.
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