Integrating biomass quality variability in stochastic supply chain modeling and optimization for large-scale biofuel production

Castillo-Villar, Krystel K.; Eksioglu, Sandra; Taherkhorsandi, Milad

doi:10.1016/j.jclepro.2017.02.123

Title: Integrating biomass quality variability in stochastic supply chain modeling and optimization for large-scale biofuel production

Journal Article · Mon Feb 20 00:00:00 EST 2017 · Journal of Cleaner Production

DOI:https://doi.org/10.1016/j.jclepro.2017.02.123· OSTI ID:1418533

Castillo-Villar, Krystel K. ^[1]; Eksioglu, Sandra ^[2]; Taherkhorsandi, Milad ^[1]

Univ. of Texas, San Antonio, TX (United States)
Clemson Univ., SC (United States)

The production of biofuels using second-generation feedstocks has been recognized as an important alternative source of sustainable energy and its demand is expected to increase due to regulations such as the Renewable Fuel Standard. However, the pathway to biofuel industry maturity faces unique, unaddressed challenges. Here, to address this challenges, this article presents an optimization model which quantifies and controls the impact of biomass quality variability on supply chain related decisions and technology selection. We propose a two-stage stochastic programming model and associated efficient solution procedures for solving large-scale problems to (1) better represent the random nature of the biomass quality (defined by moisture and ash contents) in supply chain modeling, and (2) assess the impact of these uncertainties on the supply chain design and planning. The proposed model is then applied to a case study in the state of Tennessee. Results show that high moisture and ash contents negatively impact the unit delivery cost since poor biomass quality requires the addition of quality control activities. Experimental results indicate that supply chain cost could increase as much as 27%–31% when biomass quality is poor. We assess the impact of the biomass quality on the topological supply chain. Our case study indicates that biomass quality impacts supply chain costs; thus, it is important to consider the impact of biomass quality in supply chain design and management decisions.

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Research Organization:: Univ. of Texas at San Antonio, TX (United States)

Sponsoring Organization:: National Science Foundation (NSF); USDOE Office of Energy Efficiency and Renewable Energy (EERE)

Grant/Contract Number:: 4000142556

OSTI ID:: 1418533

Alternate ID(s):: OSTI ID: 1474204

Journal Information:: Journal of Cleaner Production, Vol. 149, Issue C; ISSN 0959-6526

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 28 works

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References (34)

A finite branch-and-bound algorithm for two-stage stochastic integer programs Ahmed, Shabbir; Tawarmalani, Mohit; Sahinidis, Nikolaos V. Mathematical Programming, Vol. 100, Issue 2 https://doi.org/10.1007/s10107-003-0475-6	journal	June 2004
Uncertainties and sustainability concepts in biofuel supply chain management: A review Awudu, Iddrisu; Zhang, Jun Renewable and Sustainable Energy Reviews, Vol. 16, Issue 2 https://doi.org/10.1016/j.rser.2011.10.016	journal	February 2012
The contribution of biomass in the future global energy supply: a review of 17 studies Berndes, Göran; Hoogwijk, Monique; van den Broek, Richard Biomass and Bioenergy, Vol. 25, Issue 1 https://doi.org/10.1016/S0961-9534(02)00185-X	journal	July 2003
A multicut algorithm for two-stage stochastic linear programs Birge, John R.; Louveaux, François V. European Journal of Operational Research, Vol. 34, Issue 3 https://doi.org/10.1016/0377-2217(88)90159-2	journal	March 1988
Dual decomposition in stochastic integer programming Carøe, Claus C.; Schultz, Rüdiger Operations Research Letters, Vol. 24, Issue 1-2 https://doi.org/10.1016/S0167-6377(98)00050-9	journal	February 1999
L-shaped decomposition of two-stage stochastic programs with integer recourse Carøe, Claus C.; Tind, Jørgen Mathematical Programming, Vol. 83, Issue 1-3 https://doi.org/10.1007/BF02680570	journal	January 1998
Bioethanol supply chain system planning under supply and demand uncertainties Chen, Chien-Wei; Fan, Yueyue Transportation Research Part E: Logistics and Transportation Review, Vol. 48, Issue 1 https://doi.org/10.1016/j.tre.2011.08.004	journal	January 2012
A linear programming approach for designing a herbaceous biomass delivery system Cundiff, John S.; Dias, Neil; Sherali, Hanif D. Bioresource Technology, Vol. 59, Issue 1 https://doi.org/10.1016/S0960-8524(96)00129-0	journal	January 1997
Optimal Scheduling of Multiple Feedstock Batch Biogas Production Systems Curry, Guy L.; Deuermeyer, Bryan L. IIE Transactions, Vol. 18, Issue 4 https://doi.org/10.1080/07408178608975357	journal	December 1986
Bioenergy from “surplus” land: environmental and socio-economic implications Dauber, Jens; Brown, Chris; Fernando, Ana Luisa BioRisk, Vol. 7 https://doi.org/10.3897/biorisk.7.3036	journal	October 2012
Analyzing the design and management of biomass-to-biorefinery supply chain Ekşioğlu, Sandra D.; Acharya, Ambarish; Leightley, Liam E. Computers & Industrial Engineering, Vol. 57, Issue 4 https://doi.org/10.1016/j.cie.2009.07.003	journal	November 2009
A general algorithm for solving two-stage stochastic mixed 0–1 first-stage problems Escudero, L. F.; Garín, M. A.; Merino, M. Computers & Operations Research, Vol. 36, Issue 9 https://doi.org/10.1016/j.cor.2008.11.011	journal	September 2009
The effect of lignin and inorganic species in biomass on pyrolysis oil yields, quality and stability Fahmi, R.; Bridgwater, A. V.; Donnison, I. Fuel, Vol. 87, Issue 7 https://doi.org/10.1016/j.fuel.2007.07.026	journal	June 2008
Design under uncertainty of hydrocarbon biorefinery supply chains: Multiobjective stochastic programming models, decomposition algorithm, and a Comparison between CVaR and downside risk Gebreslassie, Berhane H.; Yao, Yuan; You, Fengqi AIChE Journal, Vol. 58, Issue 7 https://doi.org/10.1002/aic.13844	journal	May 2012
Multistage optimization of the supply chains of biofuels Huang, Yongxi; Chen, Chien-Wei; Fan, Yueyue Transportation Research Part E: Logistics and Transportation Review, Vol. 46, Issue 6 https://doi.org/10.1016/j.tre.2010.03.002	journal	November 2010
Progress of electricity from biomass, wind and photovoltaics in the European Union Jäger-Waldau, Arnulf; Ossenbrink, Heinz Renewable and Sustainable Energy Reviews, Vol. 8, Issue 2 https://doi.org/10.1016/j.rser.2003.10.003	journal	April 2004
Understanding biomass feedstock variability Kenney, Kevin L.; Smith, William A.; Gresham, Garold L. Biofuels, Vol. 4, Issue 1 https://doi.org/10.4155/bfs.12.83	journal	January 2013
Design of biomass processing network for biofuel production using an MILP model Kim, Jinkyung; Realff, Matthew J.; Lee, Jay H. Biomass and Bioenergy, Vol. 35, Issue 2 https://doi.org/10.1016/j.biombioe.2010.11.008	journal	February 2011
Optimal design and global sensitivity analysis of biomass supply chain networks for biofuels under uncertainty Kim, Jinkyung; Realff, Matthew J.; Lee, Jay H. Computers & Chemical Engineering, Vol. 35, Issue 9 https://doi.org/10.1016/j.compchemeng.2011.02.008	journal	September 2011
The integer L-shaped method for stochastic integer programs with complete recourse Laporte, Gilbert; Louveaux, François V. Operations Research Letters, Vol. 13, Issue 3 https://doi.org/10.1016/0167-6377(93)90002-X	journal	April 1993
Comparative analysis of efficiency, environmental impact, and process economics for mature biomass refining scenarios Laser, Mark; Larson, Eric; Dale, Bruce Biofuels, Bioproducts and Biorefining, Vol. 3, Issue 2 https://doi.org/10.1002/bbb.136	journal	March 2009
Securing a sustainable biomass supply in a growing bioeconomy Lewandowski, Iris Global Food Security, Vol. 6 https://doi.org/10.1016/j.gfs.2015.10.001	journal	October 2015
Economics of Producing fuel Pellets from Biomass Applied Engineering in Agriculture, Vol. 22, Issue 3 https://doi.org/10.13031/2013.20447	journal	January 2006
Two-stage stochastic programming supply chain model for biodiesel production via wastewater treatment Marufuzzaman, Mohammad; Eksioglu, Sandra D.; (Eric) Huang, Yongxi Computers & Operations Research, Vol. 49 https://doi.org/10.1016/j.cor.2014.03.010	journal	September 2014
A Cross Decomposition Algorithm for Capacitated Facility Location Van Roy, Tony J. Operations Research, Vol. 34, Issue 1 https://doi.org/10.1287/opre.34.1.145	journal	February 1986
Decomposition methods in stochastic programming Ruszczyński, Andrzej Mathematical Programming, Vol. 79, Issue 1-3 https://doi.org/10.1007/BF02614323	journal	October 1997
A stochastic programming approach for supply chain network design under uncertainty Santoso, Tjendera; Ahmed, Shabbir; Goetschalckx, Marc European Journal of Operational Research, Vol. 167, Issue 1 https://doi.org/10.1016/j.ejor.2004.01.046	journal	November 2005
The C3 Theorem and a D2 Algorithm for Large Scale Stochastic Mixed-Integer Programming: Set Convexification Sen, Suvrajeet; Higle, Julia L. Mathematical Programming, Vol. 104, Issue 1 https://doi.org/10.1007/s10107-004-0566-z	journal	April 2005
Decomposition with branch-and-cut approaches for two-stage stochastic mixed-integer programming Sen, Suvrajeet; Sherali, Hanif D. Mathematical Programming, Vol. 106, Issue 2 https://doi.org/10.1007/s10107-005-0592-5	journal	July 2005
On solving discrete two-stage stochastic programs having mixed-integer first- and second-stage variables Sherali, Hanif D.; Zhu, Xiaomei Mathematical Programming, Vol. 108, Issue 2-3 https://doi.org/10.1007/s10107-006-0724-6	journal	June 2006
A Benders decomposition approach for a distribution network design problem with consolidation and capacity considerations Üster, Halit; Agrahari, Homarjun Operations Research Letters, Vol. 39, Issue 2 https://doi.org/10.1016/j.orl.2011.02.003	journal	March 2011
L -Shaped Linear Programs with Applications to Optimal Control and Stochastic Programming Van Slyke, R. M.; Wets, Roger SIAM Journal on Applied Mathematics, Vol. 17, Issue 4 https://doi.org/10.1137/0117061	journal	July 1969
Influence of particle size and packaging on storage dry matter losses for switchgrass Yu, T. Edward; Larson, James A.; English, Burton C. Biomass and Bioenergy, Vol. 73 https://doi.org/10.1016/j.biombioe.2014.12.009	journal	February 2015
Spatially Explicit Static Model for the Strategic Design of Future Bioethanol Production Systems. 1. Cost Minimization Zamboni, Andrea; Shah, Nilay; Bezzo, Fabrizio Energy & Fuels, Vol. 23, Issue 10 https://doi.org/10.1021/ef900456w	journal	October 2009

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Mapping supply dynamics in renewable feedstock enabled industries: A systems theory perspective on ‘green’ pharmaceuticals Tsolakis, Naoum; Srai, Jagjit Singh Operations Management Research, Vol. 11, Issue 3-4 https://doi.org/10.1007/s12063-018-0134-y	journal	September 2018
Linking a farm model and a location optimization model for evaluating energetic and material straw valorization pathways-A case study in Baden-Wuerttemberg Petig, Eckart; Rudi, Andreas; Angenendt, Elisabeth GCB Bioenergy, Vol. 11, Issue 1 https://doi.org/10.1111/gcbb.12580	journal	December 2018
Modeling and optimization of biomass quality variability for decision support systems in biomass supply chains Aboytes-Ojeda, Mario; Castillo-Villar, Krystel K.; Eksioglu, Sandra D. Annals of Operations Research https://doi.org/10.1007/s10479-019-03477-8	journal	December 2019
Linking a farm model and a location optimization model for evaluating energetic and material straw valorization pathways-A case study in Baden-Wuerttemberg Petig, Eckart; Rudi, Andreas; Angenendt, Elisabeth Karlsruhe https://doi.org/10.5445/ir/1000091977	text	January 2019
Mapping supply dynamics in renewable feedstock enabled industries: A systems theory perspective on ‘green’ pharmaceuticals Tsolakis, Naoum; Srai, Jag Apollo - University of Cambridge Repository https://doi.org/10.17863/cam.32407	text	January 2018

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