Green Design of a Cellulosic Bio-butanol Supply Chain Network with Life Cycle Assessment

The incentives and policies spearheaded by the U.S. government have created abundant opportunities for renewable fuel production and commercialization. Bio-butanol is a very promising renewable fuel for the future transportation market. Many efforts have been made to improve its production process,...

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Main Author: Liang, Li
Other Authors: Forest Resources and Environmental Conservation
Format: Others
Published: Virginia Tech 2017
Subjects:
Online Access:http://hdl.handle.net/10919/79488
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spelling ndltd-VTETD-oai-vtechworks.lib.vt.edu-10919-794882021-06-17T05:27:55Z Green Design of a Cellulosic Bio-butanol Supply Chain Network with Life Cycle Assessment Liang, Li Forest Resources and Environmental Conservation Quesada, Henry Jose Kline, David E. Bish, Douglas R. Smith, Robert L. Cellulosic Bio-butanol Supply Chain Network Design Multi-objective Linear Programming Model Life Cycle Assessment The incentives and policies spearheaded by the U.S. government have created abundant opportunities for renewable fuel production and commercialization. Bio-butanol is a very promising renewable fuel for the future transportation market. Many efforts have been made to improve its production process, but seldom has bio-butanol research discussed the integration and optimization of a cellulosic bio-butanol supply chain network. This study focused on the development of a physical supply chain network and the optimization of a green supply chain network for cellulosic bio-butanol. To develop the physical supply chain network, the production process, material flow, physical supply chain participants, and supply chain logistics activities of cellulosic bio-butanol were identified by conducting an onsite visit and survey of current bio-fuel stakeholders. To optimize the green supply chain network for cellulosic bio-butanol, the life cycle analysis was integrated into a multi-objective linear programming model. With the objectives of maximizing the economic profits and minimizing the greenhouse gas emissions, the proposed model can optimize the location and size of a bio-butanol production plant. The mathematical model was applied to a case study in the state of Missouri, and solved the tradeoff between the feedstock and market availabilities of sorghum stem bio-butanol. The results of this research can be used to support the decision making process at the strategic, tactical, and operational levels of cellulosic bio-butanol commercialization and cellulosic bio-butanol supply chain optimization. The results of this research can also be used as an introductory guideline for beginners who are interested in cellulosic bio-butanol commercialization and supply chain design. Ph. D. 2017-10-04T08:01:06Z 2017-10-04T08:01:06Z 2017-10-03 Dissertation vt_gsexam:12941 http://hdl.handle.net/10919/79488 In Copyright http://rightsstatements.org/vocab/InC/1.0/ ETD application/pdf Virginia Tech
collection NDLTD
format Others
sources NDLTD
topic Cellulosic Bio-butanol
Supply Chain Network Design
Multi-objective Linear Programming Model
Life Cycle Assessment
spellingShingle Cellulosic Bio-butanol
Supply Chain Network Design
Multi-objective Linear Programming Model
Life Cycle Assessment
Liang, Li
Green Design of a Cellulosic Bio-butanol Supply Chain Network with Life Cycle Assessment
description The incentives and policies spearheaded by the U.S. government have created abundant opportunities for renewable fuel production and commercialization. Bio-butanol is a very promising renewable fuel for the future transportation market. Many efforts have been made to improve its production process, but seldom has bio-butanol research discussed the integration and optimization of a cellulosic bio-butanol supply chain network. This study focused on the development of a physical supply chain network and the optimization of a green supply chain network for cellulosic bio-butanol. To develop the physical supply chain network, the production process, material flow, physical supply chain participants, and supply chain logistics activities of cellulosic bio-butanol were identified by conducting an onsite visit and survey of current bio-fuel stakeholders. To optimize the green supply chain network for cellulosic bio-butanol, the life cycle analysis was integrated into a multi-objective linear programming model. With the objectives of maximizing the economic profits and minimizing the greenhouse gas emissions, the proposed model can optimize the location and size of a bio-butanol production plant. The mathematical model was applied to a case study in the state of Missouri, and solved the tradeoff between the feedstock and market availabilities of sorghum stem bio-butanol. The results of this research can be used to support the decision making process at the strategic, tactical, and operational levels of cellulosic bio-butanol commercialization and cellulosic bio-butanol supply chain optimization. The results of this research can also be used as an introductory guideline for beginners who are interested in cellulosic bio-butanol commercialization and supply chain design. === Ph. D.
author2 Forest Resources and Environmental Conservation
author_facet Forest Resources and Environmental Conservation
Liang, Li
author Liang, Li
author_sort Liang, Li
title Green Design of a Cellulosic Bio-butanol Supply Chain Network with Life Cycle Assessment
title_short Green Design of a Cellulosic Bio-butanol Supply Chain Network with Life Cycle Assessment
title_full Green Design of a Cellulosic Bio-butanol Supply Chain Network with Life Cycle Assessment
title_fullStr Green Design of a Cellulosic Bio-butanol Supply Chain Network with Life Cycle Assessment
title_full_unstemmed Green Design of a Cellulosic Bio-butanol Supply Chain Network with Life Cycle Assessment
title_sort green design of a cellulosic bio-butanol supply chain network with life cycle assessment
publisher Virginia Tech
publishDate 2017
url http://hdl.handle.net/10919/79488
work_keys_str_mv AT liangli greendesignofacellulosicbiobutanolsupplychainnetworkwithlifecycleassessment
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