Optimal design and operation of a second-generation biofuels supply chain

References

• Aboytes-Ojeda, M., Castillo-Villar, K.K. and Ekşioǧlu, S.D. (2019) Modeling and optimization of biomass quality variability for decision support systems in biomass supply chains. Annals of Operations Research. doi:https://doi.org/10.1007/s10479-019-03477-8
   Google Scholar
• American Process, Inc. (2016) Alpena Biorefinery has resumed operations. http://alpenabiorefinery.com/pdf/American-Process-Inc-press-release-June-1-2016.pdf (accessed 15 September 2017).
   Google Scholar
• An, H., Wilhelm, W.E. and Searcy, S.W. (2011a) A mathematical model to design a lignocellulosic biofuel supply chain system with a case study based on a region in central Texas. Bioresource Technology, 102, 7860–7870.
   PubMed Web of Science ®Google Scholar
• An, H., Wilhelm, W.E. and Searcy, S.W. (2011b) Biofuel and petroleum-based fuel supply chain research: A literature review. Biomass & Bioenergy, 35(9), 3763–3774.
   Web of Science ®Google Scholar
• Bern, C.J., Steele, J.L. and Morey, R.V. (2002) Shelled corn CO2 evolution and storage time for 0.5% dry matter loss. Applied Engineering in Agriculture, 18(6), 703–706.
   Web of Science ®Google Scholar
• Blunck, S.L., Yore, M.W., Summers, M.D., Lau, G.K., Tang, S.T. and Jenkins, B.M. (2003) Quality and property changes in rice straw during long term storage. ASAE 036091. American Society of Agricultural Engineers, St. Joseph, MI 49085–9659.
   Google Scholar
• Bowling, I.M., Ponce-Ortega, J.M. and El-Halwagi, M.M. (2011) Facility location and supply chain optimization for a biorefinery. Industrial & Engineering Chemistry Research, 50(10), 6276–6286.
   Web of Science ®Google Scholar
• Buckmaster, D. R., C. Rotz, A., and Mertens, D. R. (1989) A model of alfalfa hay storage. Transactions of the ASAE, 32(1), 30–36.
   Google Scholar
• Carolan, J.E., Joshi, S.V. and Dale, B.E. (2007) Technical and financial feasibility analysis of distributed bioprocessing using regional biomass pre-processing centers. Journal of Agricultural & Food Industrial Organization, 5, 1–29.
   Google Scholar
• Castillo-Villar, K.K. (2014) Metaheuristic algorithms applied to bioenergy supply chain problems: Theory, review, challenges, and future. Energies, 7, 7640–7672.
   Web of Science ®Google Scholar
• Chen, C. and Fan, Y. (2012) Bioethanol supply chain system planning under supply and demand uncertainties. Transportation Research Part E - Logistics and Transportation Review, 48(1), 150–164.
   Web of Science ®Google Scholar
• Chesnick, D., Crooks, A., Borst, A. and Robinson, R. (2009) Cellulosic ethanol opportunities for co-ops and rural ownership. Rural Cooperatives, 76(1), 22–25.
   Google Scholar
• Clark, J. and Deswarte, F. (2015) The biorefinery concept: An integrated approach, in Introduction to Chemicals from Biomass, second edition, John Wiley & Sons, Ltd., pp. 1–52. doi:https://doi.org/10.1002/9781118714478
   Google Scholar
• Collins, M., Ditsch, D., Henning, J.C., Turner, L.W., Isaacs, S. G.D. and Lacefield, G.D. (1997) Round Bale Hay Storage in Kentucky. Cooperative Extension Service, University of Kentucky College of Agriculture.
   Google Scholar
• Dal-Mas, M., Giarola, S., Zamboni, A. and Bezzo, F. (2011) Strategic design and investment capacity planning of the ethanol supply chain under price uncertainty. Biomass & Bioenergy, 35(5), 2059–2071.
   Web of Science ®Google Scholar
• De Meyer, A., Cattrysse, D., Rasinmaeki, J. and van Orshoven, J. (2014) Methods to optimise the design and management of biomass-for-bioenergy supply chains: A review. Renewable & Sustainable Energy Reviews, 31, 657–670.
   Web of Science ®Google Scholar
• DuPont. (2017) Cellulosic ethanol plant - Nevada, Iowa. http://www.dupont.com/products-and-services/industrial-biotechnology/advanced-biofuels/cellulosic-ethanol/nevada-iowa-cellulosic-ethanol-plant.html (accessed 4 July 2017).
   Google Scholar
• Ebadian, M. (2013) Optimal design of agricultural biomass supply chain for a cellulosic ethanol plant. Dissertation, The University of British Columbia, Vancouver.
   Google Scholar
• Ebadian, M., Sokhansanj, S. and Webb, E. (2017) Estimating the required logistical resources to support the development of a sustainable corn stover bioeconomy in the USA. Biofuels, Bioproducts & Biorefining, 11, 129–149.
   Web of Science ®Google Scholar
• Ekşioǧlu, S.D., Acharya, A., Leightley, L.E. and Arora, S. (2009) Analyzing the design and management of biomass-to-biorefinery supply chain. Computers & Industrial Engineering, 57, 1342–1352.
   Web of Science ®Google Scholar
• Ekşioǧlu, S.D., Li, S., Zhang, S., Sokhansanj, S. and Petrolia, D. (2010) Analyzing Impact of intermodal facilities on design and management of biofuel supply chain. Transportation Research Record: Journal of the Transportation Research Board, 2191, 144–151.
   Google Scholar
• Eranki, P.L. and Dale, B.E. (2011) Comparative life cycle assessment of centralized and distributed biomass processing systems combined with mixed feedstock landscapes. GCB Bioenergy, 3, 427–438.
   Google Scholar
• Eranki, P.L., Bals, B. and Dale, B.E. (2011) Advance regional biomass processing depots: A key to the logistical challenges of the cellulosic biofuel industry. Biofuels, Bioproducts & Biorefining, 5, 621–630.
   Web of Science ®Google Scholar
• Fales, S.L., Wilhelm, W.W. and Hess, J.R. (2007) Convergence of agriculture and energy II: Producing cellulosic biomass for biofuels. CAST Commentary QTA2007-2. Council for Agricultural Science and Technology (CAST) Ames, IA.
   Google Scholar
• Garey, M.R. and Johnson, D.S. (1979) Computers and Intractability: A Guide to the Theory of NP-Completeness. W.H. Freeman and Company, San Francisco, CA.
   Google Scholar
• Gold, S. and Seuring, S. (2011) Supply chain and logistics issues of bio-energy production. Journal of Cleaner Production, 19(1), 32–42.
   Web of Science ®Google Scholar
• Gonzales, D.S. (2014) The development of an economically viable biomass feedstock supply chain to meet the renewable fuels standard targets for cellulosic fuels. Dissertation, Texas A&M University, College Station, TX.
   Google Scholar
• Gonzales, D.S. and Searcy, S.W. (2017) GIS-based allocation of herbaceous biomass in biorefineries and depots. Biomass and Bioenergy, 97, 1–10.
   Web of Science ®Google Scholar
• Hess, J.R., Kenney, K.L., Ovard, L.P., Searcy, E.M. and Wright, C.T. (2009) Commodity-scale production of an infrastructure-compatible bulk solid from herbaceous lignocellulosic biomass. Uniform-Format Bioenergy Feedstock Supply System Design Report Series. Idaho National Lab.
   Google Scholar
• Hess, J.R., Wright, C.T. and Kenney, K.L. (2007) Cellulosic biomass feedstocks and logistics for ethanol production. Biofuels, Bioproducts & Biorefining, 1(3), 181–190.
   Web of Science ®Google Scholar
• Huang, Y., Chen, C. and Fan, Y. (2010) Multistage optimization of the supply chains of biofuels. Transportation Research Part E - Logistics and Transportation Review, 46(6), 820–830.
   Web of Science ®Google Scholar
• Huang, Y., Fan, Y. and Chen, C.-W. (2014) An integrated biofuel supply chain to cope with feedstock seasonality and uncertainty. Transportation Science, 48(4) 540–554.
   Web of Science ®Google Scholar
• Jacobson, J.J., Carnohan, S., Ford, A. and Beall, A. (2014) Simulating pelletization strategies to reduce the biomass supply risk at America’s biorefineries. 2014 Presented at the International System Dynamics Conference. Idaho National Laboratory.
   Google Scholar
• Judd, J., Sarin, S.C. and Cundiff, J.S. (2012) Design, modeling, and analysis of a feedstock logistics system. Bioresources Technology, 103(1), 209–218.
   PubMed Web of Science ®Google Scholar
• Kim, J., Realff, M.J. and Lee, J.H. (2011) Optimal design and global sensitivity analysis of biomass supply chain networks for biofuels under uncertainty. Computers & Chemical Engineering, 35(9, SI), 1738–1751.
   Web of Science ®Google Scholar
• Kim, M.K. and McCarl, B.A. (2009) Uncertainty discounting for land-based carbon sequestration. Journal of Agricultural and Applied Economics, 41(1), 1–11.
   Google Scholar
• Klein, C.M., Jang, W., Tan, J. and Shumacher L. (2011) Biomas logistics: Design and operation of biomass supply networks. T. Doolen and E. Van Aken (eds.), Proceeding of the 2011 Industrial Engineering Research Conference.
   Google Scholar
• Kumar, A. and Sokhansanj, S. (2007) Switchgrass (panicum vigratum, l.) delivery to a biorefinery using integrated biomass supply analysis and logistics (IBSAL) model. Bioresource Technology, 98(5), 1033–1044.
   PubMed Web of Science ®Google Scholar
• Lim, M. and Ouyang, Y. (2016) Biofuel supply chain network design and operations, in Environmentally Responsible Supply Chains, Springer Series in Supply Chain Management, Vol. 3, Springer, Switzerland, pp. 143–162.
   Google Scholar
• MacLean, H.L. and Lave, L.B. (2003) Life cycle assessment of automobile/fuel options. Environmental Science & Technology, 37(23), 5445–5452.
   PubMed Web of Science ®Google Scholar
• Mahadevan, R., Shakya, R., Adhikari, S., Fasina, O. and Taylor, S.E. (2016) Fast pyrolysis of biomass: Effect of blending southern pine and switchgrass. Transactions of the American Society of Agricultural and Biological Engineers, 59(1) 5–10.
   Web of Science ®Google Scholar
• Marufuzzaman, M. and Ekşioǧlu, S.D. (2016) Designing a reliable and dynamic multimodal transportation network for biofuel supply chains. Transportation Science, 51(2), 494–517.
   Web of Science ®Google Scholar
• Marvin, W.A., Schmidt, L.D., Benjaafar, S., Tiffany, D.G. and Daoutidis, P. (2012) Economic optimization of a lignocellulosic biomass-to-ethanol supply chain. Chemical Engineering Science, 67(1), 68–79.
   Web of Science ®Google Scholar
• Memişoǧlu, G. (2014) Bio-energy logistics network design under price-based supply and yield uncertainty, Ph.D Dissertation, Dept. of Industrial and Systems Engineering, Texas A&M University.
   Google Scholar
• Memişoǧlu, G. and Üster, H. (2016) Integrated bioenergy supply chain network planning problem. Transportation Science, 50(1), 35–56.
   Web of Science ®Google Scholar
• Memişoǧlu, G. and Üster, H. (2021) Design of a biofuel supply network under stochastic and price-dependent biomass availablity. IISE Transactions, 53(8), 869–882.
   Web of Science ®Google Scholar
• Mooney, D.F., Larson, J.A., English, B.C. and Tyler, D.D. (2012) Effect of dry matter loss on profitability of outdoor storage of switchgrass. Biomass Bioenergy, 44, 33–41.
   Web of Science ®Google Scholar
• Ng, R.T. and Maravelias, C.T. (2016) Design of cellulosic ethanol supply chains with regional depots. Industrial & Engineering Chemistry Research, 55(12), 3420–3432.
   Web of Science ®Google Scholar
• Ng, R.T. and Maravelias, C.T. (2017) Design of biofuel supply chains with variable regional depot and biorefinery locations. Renewable Energy, 100, 90–102.
   Web of Science ®Google Scholar
• Nur, F., Aboytes-Ojeda, M., Castillo-Villar, K.K. and Marufuzzaman, M. (2020) A two-stage stochastic programming model for biofuel supply chain network design with biomass quality implications. IISE Transactions, 53(8), 845–868.
   Web of Science ®Google Scholar
• Osmani, A. and Zhang, J. (2013) Stochastic optimization of a multi-feedstock lignocellulosic-based bioethanol supply chain under multiple uncertainties. Energy, 59, 157–172.
   Web of Science ®Google Scholar
• Osmani, A. and Zhang, J. (2014) Economic and environmental optimization of a large scale sustainable dual feedstock lignocellulosic-based bioethanol supply chain in a stochastic environment. Applied Energy, 114(SI), 572–587.
   Google Scholar
• Perlack, R.D. and Stokes, B.J. (2011) U.S. billion-ton update: biomass supply for a bioenergy and bioproducts industry. Oak Ridge National Laboratory, Oak Ridge, TN, USA.
   Google Scholar
• Quddus, M.A., Hossain, N.U.I., Mohammad, M., Jaradat, R.M. and Roni, M.S. (2017) Sustainable network design for multi-purpose pellet processing depots under biomass supply uncertainty. Computers & Industrial Engineering, 110, 462–483.
   Web of Science ®Google Scholar
• Renewable Fuels Association (2020) Industry statistics. http://www.ethanolrfa.org/resources/industry/statistics/ (accessed 9 January 2020).
   Google Scholar
• Robb, T. (2017) Manager of Supply System, Abengoa Bioenergy Biomass of Hugoton, Kansas. Personal Communication.
   Google Scholar
• Roni, M.S., Ekşioǧlu, S.D., Cafferty, K.G. and Jacobson, J.J. (2017) A multiobjective, hub-and-spoke model to design and manage biofuel supply chains. Annals of Operations Research, 249, 351–380.
   Web of Science ®Google Scholar
• Roni, M.S., Ekşioǧlu, S.D., Searcy, E. and Jha, K. (2014) A supply chain network design model for biomass co-firing in coal-fired power plants. Transportation Research Part E, 61, 115–134.
   Google Scholar
• Rotz, C.A. (1995) Loss models for forage harvest. Transactions of the American Society of Agricultural Engineers, 38(6), 1621–1631.
   Google Scholar
• Savoie, P., D’Amours, L., Amyot, A. and Thèriault, R. (2006) Effect of density, cover, depth, and storage time on dry matter loss of corn silage. Presented at ASABE Meeting paper no. 061048, Portland Convention Center, Portland, OR.
   Google Scholar
• Schnepf, R. and Yacobucci, B.D. (2013) Renewable fuel standard (RFS): Overview and issues. Congressional Research Service Report for Congress. R40155. Washington, DC.
   Google Scholar
• Shabani, N., Akhtari, S. and Sowlati, T. (2013) Value chain optimization of forest biomass for bioenergy production: A review. Renewable & Sustainable Energy Reviews, 23, 299–311.
   Web of Science ®Google Scholar
• Sharma, B., Ingalls, R.G., Jones, C.L., Huhnke, R.L. and Khanchi, A. (2013) Scenario optimization modeling approach for design and management of biomass-to-biorefinery supply chain system. Bioresource Technology, 150, 163–171.
   PubMed Web of Science ®Google Scholar
• Sharma, B., Ingalls, R.G., Jones, C.L. and Khanchi, A. (2013) Biomass supply chain design and analysis: Basis, overview, modeling, challenges, and future. Renewable & Sustainable Energy Reviews, 24, 608–627.
   Web of Science ®Google Scholar
• Sheehan, J., Aden, A., Paustian, K., Killian, K.I., Brenner, J., Walsh, M. and Nelson, R. (2004) Energy and environmental aspects of using corn stover for fuel ethanol. Journal of Industrial Ecology, 7, 117–146.
   Google Scholar
• Shinners, K.J. and Binversie, B.N. (2004) Harvest and storage of wet corn stover biomass. Paper Number: ASAE/CSAE 041159. Presented at the 2004 ASAE/CSAE Annual International Meeting, Fairmont Chateau Laurier, The Westin, Government Centre, Ottawa, Ontario, Canada.
   Google Scholar
• Shinners, K.J., Wepner, A.D., Muck, R.E. and Weimer, P.J. (2011) Aerobic and anaerobic storage of singlepass, chopped corn stover. BioEnergineering Research, 4(1), 61–75.
   Web of Science ®Google Scholar
• Sokhansanj, S., Khoshtaghaza, H., Schoenau, G.J., Arinze, E.A. and Tabil, L.G. (2003) Heat and moisture transfer and quality changes in containerized alfalfa cubes during transport. Transactions of the American Society of Agricultural Engineers, 46(2), 423–432.
   Google Scholar
• Sokhansanj, S., Turhollow, A. and Wilkerson, E. (2008) Development of the integrated biomass supply analysis and logistics model (IBSAL). Oak Ridge National Laboratory, ORNL/TM-2006/57.
   Google Scholar
• Steele, B. (2013) De-risking & scale-up of bio-based technologies. https://energy.wisc.edu/events/bioenergy-showcase (accessed 24 September 2018)
   Google Scholar
• Sun, O. and Fan, N. (2020) A review on optimization methods for biomass supply chain: Models and algorithms, sustainable issues, and challenges and opportunities. Process Integration and Optimization for Sustainability, 4, 203–226.
   Google Scholar
• Tay, D.H.S., Ng, D.K.S. and Tan, R.R. (2013) Robust optimization approach for synthesis of integrated biorefineries with supply and demand uncertainties. Environmental Progress & Sustainable Energy, 32(2), 384–389.
   Web of Science ®Google Scholar
• Tyner, W.E. (2013) Biofuels and food prices: Separating wheat from chaff. Global Food Security, 2(2) 126–130.
   Google Scholar
• U.S. Department of Energy (2016) 2016 Billion-ton report: Advancing domestic resources for a thriving bioeconomy. ORNL/TM-2016/160. Oak Ridge National Laboratory, Oak Ridge, TN.
   Google Scholar
• U.S. Energy Information Administration (2020) https://www.eia.gov/biofuels/biodiesel/production/ (accessed 9 January 2020).
   Google Scholar
• Wang, X., Lim, M.K. and Ouyang, Y. (2015) Infrastructure deployment under uncertainties and competition: The biofuel industry case. Transportation Research Part B, 78, 1–15.
   Google Scholar
• Wu, M., Wang, M. and Huo, H. (2006) Fuel–cycle assessment of selected bioethanol production. Center for Transportation Research, Energy Systems Division, Argonne National Laboratory. https://greet.es.anl.gov/files/2lli584z (accessed 5 July 2019).
   Google Scholar
• Zhang, J., Osmani, A., Awudu, I. and Gonela, V. (2013) An integrated optimization model for switchgrass-based bioethanol supply chain. Applied Energy, 102, 1205–1217.
   Web of Science ®Google Scholar
• Zhu, X., Li, X., Yao, Q. and Chen, Y. (2011) Challenges and models in supporting logistics system design for dedicated-biomass-based bioenergy industry. Bioresources Technology, 102(2), 1344–1351.
   PubMed Web of Science ®Google Scholar
• Zhu, X. and Yao, Q. (2011) Logistics system design for biomass-to-bioenergy industry with multiple types of feedstocks. Bioresource Technology, 102(23), 10936–10945.
   PubMed Web of Science ®Google Scholar