Stochastic Optimization of Cellulosic Biofuel Supply Chain Incorporating Feedstock Yield Uncertainty

Sharma, Bijay P; Yu, T Edward; English, Burton C; Boyer, Christopher N; Larson, James A

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Stochastic Optimization of Cellulosic Biofuel Supply Chain Incorporating Feedstock Yield Uncertainty

2019-02-01
By Sharma, Bijay P ; Yu, T Edward ; English, Burton C

File Language:

English

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Creators:

Sharma, Bijay P ; Yu, T Edward ; English, Burton C ; Boyer, Christopher N ; Larson, James A
Corporate Creators:

United States. Department of Transportation. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment ; University of Tennessee, Knoxville
Corporate Contributors:

United States. Department of Transportation. Federal Aviation Administration. Office of Environment and Energy
Subject/TRT Terms:
Publication/ Report Number:

j.egypro.2019.01.245
Resource Type:

Journal Article
Geographical Coverage:

United States
Corporate Publisher:

United States. Department of Transportation. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment ; University of Tennessee, Knoxville
Abstract:

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.
Content Notes:

This article is available under the Creative Commons CC-BY-NC-ND license and permits non-commercial use of the work as published, without adaptation or alteration provided the work is fully attributed.
Format:

PDF
Funding:

13-C-AJFE-UTENN-2, 5, 6
Download URL:

https://rosap.ntl.bts.gov/view/dot/55602/dot_55602_DS1.pdf
File Type:

[PDF - 698.60 KB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha-512:20d691be1e9658500d7a39afbb122ca4222275b3e04a0aa8766dacb861d57cfe75d9fd1662d5a97da5e513bd5e66bf7ce6f7c9f83046941f05322d8971db476e

File Language:

English

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