Stochastic Optimization of Cellulosic Biofuel Supply Chain Incorporating Feedstock Yield Uncertainty
The global goal to reduce dependence on fossil fuels and to mitigate greenhouse gas emissions has resulted in research focused on environment friendly and socio-economically sustainable renewable energy sources. However, commercial production of bio-energy is constrained by biomass supply uncertainty and associated costs. This study presents an integrated approach to determining the optimal biofuel supply chain considering biomass yield uncertainty. A two-stage stochastic mixed integer linear programming is utilized to minimize the expected system cost while incorporating yield uncertainty in the strategic level decisions related to biomass production and biorefinery investment. Applicability of the stochastic model is illustrated through a case study of switchgrass-based biofuel in west Tennessee.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/18766102
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Supplemental Notes:
- © 2019 Bijay P. Sharma, et al. Published by Elsevier Ltd.
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Authors:
- Sharma, Bijay P
- Yu, T Edward
- English, Burton C
- Boyer, Christopher N
- Larson, James A
- Publication Date: 2019-2
Language
- English
Media Info
- Media Type: Digital/other
- Pagination: pp 1009-1014
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Serial:
- Energy Procedia
- Volume: 158
- Publisher: Elsevier
- ISSN: 1876-6102
- Serial URL: https://www.sciencedirect.com/journal/energy-procedia
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Biomass fuels; Cellulose; Mixed integer programming; Optimization; Renewable energy sources; Stochastic processes; Supply chain management; Sustainable development; Uncertainty; Yield (Finance)
- Geographic Terms: Tennessee
- Subject Areas: Economics; Energy; Environment; Highways;
Filing Info
- Accession Number: 01772584
- Record Type: Publication
- Files: NTL, TRIS
- Created Date: May 25 2021 4:20PM