Skip to main content

Biofuel Supply Chain Design and the Impacts on Transportation Systems and Infrastructure

  • Chapter
  • First Online:
Handbook of Bioenergy

Part of the book series: Energy Systems ((ENERGY))

  • 1458 Accesses

Abstract

The biofuel production and distribution system is supported by a number of infrastructure subsystems, including agriculture, transportation, water supply, etc., that are interdependent on one another. Transportation of the bulky, low energy density biomass feedstock (and bioethanol) incurs one of the major operational costs in the biofuel supply chain. The large volume of shipping trucks imposes additional pressure on the already congested and aging transportation infrastructure, causing traffic congestion and pavement damage especially in local areas with biorefineries. The resulting transportation impacts and environmental issues may raise community resistance, and could in turn influence refinery location choice and supply chain efficiency. Therefore, the planning of biorefinery locations and biofuel logistics should be made cautiously with a long term objective of establishing a sustainable bioenergy production and distribution system. This chapter extensively discusses the interdependencies between biofuel supply chain and its supporting transportation infrastructure. We will review the methodologies that quantify the bidirectional impacts and incorporate the transportation externalities into integrated system optimization. Insights are drawn upon the studies of sustainable system design.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Bai Y, Hwang T, Kang S, Ouyang Y (2011) Biofuel refinery location and supply chain planning under traffic congestion. Transp Res Part B Methodol 45(1):162–175

    Article  Google Scholar 

  • Bar-Gera H (2002) Origin-based algorithm for the traffic assignment problem. Transport Sci 36(4):398–417

    Google Scholar 

  • Bowling I (2010) Optimization of supply chain management and facility location selection for a biorefinery. Ph.D. thesis, Texas A&M University

    Google Scholar 

  • BPR (1970) U.S. Bureau of Public Roads. Urban transportation planning. General information and introduction to system 360. Washington. D.C. (U.S. Department of Transportation)

    Google Scholar 

  • Brown R, Orwig E, Nemeth J, Rocha C (2007) The economic potential for ethanol expansion in illinois

    Google Scholar 

  • Chatti K, Zaabar I (2012) Estimating the effects of pavement condition on vehicle operating costs. NCHRP report 720. National Research Council. Washington, D.C. (Project 1-45)

    Google Scholar 

  • Daskin M (1995) Network and discrete location: models, algorithms, and applications. Wiley, New York

    Book  MATH  Google Scholar 

  • Drezner Z (1995) Facility location: a survey of application and methods. Springer, Berlin

    Book  Google Scholar 

  • Fernandez J, Friesz T (1981) Influence of demand-quality interrelationships on optimal policies for stage construction of transportation facilities. Transp Sci 15(1):16–31

    Article  Google Scholar 

  • Frank M, Wolfe P (1956) An algorithm for quadratic programming. Naval Res Logist Q 3(1–2):95–110

    Article  MathSciNet  Google Scholar 

  • Friesz T, Fernandez J (1979) A model of optimal transport maintenance with demand responsiveness. Transp Res Part B Methodol 13(4):317–339

    Article  MathSciNet  Google Scholar 

  • Gkritza K (2010) Iowas renewable energy and infrastructure impacts. Technical report. Center for Transportation Research and Education (CTRE), Iowa Highway Research Board (TR-593), and Iowa Department of Transportation (InTrans Project 08-334)

    Google Scholar 

  • Gonzales D, Searcy E, EkÅŸioÄŸlu S (2013) Cost analysis for high-volume and long-haul transportation of densified biomass feedstock. Transp Res Part A Policy Pract 49:48–61

    Article  Google Scholar 

  • Graves SC, Willems SP (2005) Optimizing the supply chain configuration for new products. Manage Sci 51(8):1165–1180

    Article  MATH  Google Scholar 

  • Hajibabai L, Bai Y, Ouyang Y (2014) Joint optimization of freight facility location and pavement infrastructure rehabilitation under network traffic equilibrium. Transp Res Part B (In press)

    Google Scholar 

  • HCM (2000) Highway capacity manual (HCM). Transp Res Board

    Google Scholar 

  • Housh M, Cai X, Ng T, McIsaac G, Ouyang Y, Khanna M, Sivapalan M, Jain A, Eckhoff S, Gasteyer S, Al-Qadi I, Bai Y, Yaeger M, Ma S, Song Y (2014) System of systems model for analysis of biofuel development. J Infrastruct Syst 0401–4050

    Google Scholar 

  • Huang YH (1993) Pavement analysis and design, 2nd edn. Pearson, Prentice Hall, Upper Saddle River 07458

    Google Scholar 

  • Jacobson J, Searcy E, Muth D, Wilkerson E, Sokhansanj S, Jenkins B, Tittman P, Hart Q, Nelson R (2009) Sustainable biomass supply systems. Techical report, Idaho National Laboratory

    Google Scholar 

  • Jayakrishnan R, Tsai WK, Prashker JN, Rajadhyaksha S (1994) A faster path-based algorithm for traffic assignment. Transport Res Rec 1443:75–83

    Google Scholar 

  • Kang S, Onal H, Ouyang Y, Scheffran J, Tursun D (2010) Optimizing the biofuels infrastructure: Transportation networks and biorefinery locations in illinois. In: Khanna M, Scheffran J, Zilberman D, Dinar A, Zilberman D (eds) Handbook of bioenergy economics and policy, vol. 33. Natural resource management and policy. Springer, New York, pp 151–173

    Google Scholar 

  • Larsson T, Patriksson M (1992) Simplicial decomposition with disaggregated representation for the traffic assignment problem. Transport Sci 26(1):4–17

    Google Scholar 

  • Mahmudi H, Flynn P (2006) Rail vs truck transport of biomass. Appl Biochem Biotechnol 129(1):88–103

    Article  MATH  Google Scholar 

  • Mapemba L (2005) Cost to deliver lignocellulosic biomass to a biorefinery. Ph.D. thesis, The Oklahoma State University. http://bioeconomyblog.blogspot.com/2007/06/dissertation-cost-to-deliver.html

  • Ouyang Y (2007) Pavement resurfacing planning on highway networks: a parametric policy iteration approach. ASCE J Infrastruct Syst 13(1):65–71

    Article  Google Scholar 

  • Ouyang Y, Madanat S (2004) Optimal scheduling of rehabilitation activities for multiple pavement facilities: exact and approximate solutions. Transp Res Part A 38(5):347–365

    Google Scholar 

  • Ouyang Y, Madanat S (2006) An analytical solution for the finite-horizon pavement resurfacing planning problem. Transp Res Part B Methodol 40(9):767–778

    Article  Google Scholar 

  • Paterson WDO (1990) Quantifying the effectiveness of pavement maintenance and rehabilitation. In: Proceedings at the 6th Road Engineering Association of Asia and Australasia (REAAA) Conference, Kuala Lumpur, Malaysia

    Google Scholar 

  • Searcy E, Flynn P, Ghafoori E, Kumar A (2007) The relative cost of biomass energy transport. Appl Biochem Biotechnol 137–140(1–12):639–652

    Google Scholar 

  • Sheffi Y (1985) Urban transportation networks: equilibrium analysis with mathematical programming methods. Prentice Hall, Englewood

    Google Scholar 

  • Sokhansanj S, Kumar A, Turhollow A (2006) Development and implementation of integrated biomass supply analysis and logistics model (ibsal). Biomass Bioenergy 30(10):838–847

    Article  Google Scholar 

  • Swenson D (2008) Ethanol’s economic impact on rural communities. AgMRC Renew Energy Newsletter. http://www.agmrc.org/renewable_energy/renewable_energy/ethanols-economic-impact-on-rural-communities

  • Tan F, Thoresen T, Evans C (2012) Review of vehicle operating costs and road roughness: past, current, and future. In: 25th ARRB conference, Perth, Western Australia, Australia

    Google Scholar 

  • Tatineni VC, Demetsky MJ (2005) Supply chain models for freight transportation planning. Technical report, Center for Transportation Studies at the University of Virginia (UVACTS-14-0-85)

    Google Scholar 

  • Tembo G, Epplin F, Huhnke R (2003) Integrative investment appraisal of a lignocellulosic biomass-to-ethanol industry. J Agric Resour Econ 28(3):611–633

    Google Scholar 

  • Vedenov D, Fuller S, Power G, Ahmedov Z, Vadali S, Burris M (2010) Bio-fuels energy policy and grain transportation flows: Implications for inland waterways and short sea shipping. Techical report, Research and Innovative Technology Administration, Department of Transportation

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yun Bai .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Bai, Y., Ouyang, Y. (2015). Biofuel Supply Chain Design and the Impacts on Transportation Systems and Infrastructure. In: Eksioglu, S., Rebennack, S., Pardalos, P. (eds) Handbook of Bioenergy. Energy Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-20092-7_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-20092-7_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20091-0

  • Online ISBN: 978-3-319-20092-7

  • eBook Packages: EnergyEnergy (R0)

Publish with us

Policies and ethics