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Effect of harvest region shape, biomass yield, and plant location on optimal biofuel facility size

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  • Jenkins, Timothy L.
  • Jin, Enze
  • Sutherland, John W.

Abstract

The development of biofuel production facilities using renewable biomass faces many hurdles. One of these is determining the appropriate size of the facility under different uncertain conditions. Facility size is affected by many factors including transportation cost rate, biomass yields, facility location, and the availability of harvest region. This research focuses on understanding the impact of varying harvest yields that are typical with utilizing forest resources and the use of factors to account for actual road routes instead of Euclidean distance. The results suggest that use of realistic travel distances tends to lower the optimal facility size and increase the unit cost per liter of fuel. Varying harvesting yields do have an effect, but this is more a relation of actual location of the facility and less to do with varying yield across the region from which the biomass is harvested.

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  • Jenkins, Timothy L. & Jin, Enze & Sutherland, John W., 2020. "Effect of harvest region shape, biomass yield, and plant location on optimal biofuel facility size," Forest Policy and Economics, Elsevier, vol. 111(C).
    • Handle: RePEc:eee:forpol:v:111:y:2020:i:c:s1389934119302163
    DOI: 10.1016/j.forpol.2019.102053
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    References listed on IDEAS

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    1. Sultana, Arifa & Kumar, Amit, 2012. "Optimal siting and size of bioenergy facilities using geographic information system," Applied Energy, Elsevier, vol. 94(C), pages 192-201.
    2. Lili Zhao & Xiliang Zhang & Jie Xu & Xunmin Ou & Shiyan Chang & Maorong Wu, 2015. "Techno-Economic Analysis of Bioethanol Production from Lignocellulosic Biomass in China: Dilute-Acid Pretreatment and Enzymatic Hydrolysis of Corn Stover," Energies, MDPI, vol. 8(5), pages 1-22, May.
    3. Jenkins, Timothy L. & Sutherland, John W., 2014. "A cost model for forest-based biofuel production and its application to optimal facility size determination," Forest Policy and Economics, Elsevier, vol. 38(C), pages 32-39.
    4. Vukašinović, Vladimir & Gordić, Dušan, 2016. "Optimization and GIS-based combined approach for the determination of the most cost-effective investments in biomass sector," Applied Energy, Elsevier, vol. 178(C), pages 250-259.
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    Cited by:

    1. Venn, Tyron J. & Dorries, Jack W. & McGavin, Robert L., 2021. "A mathematical model to support investment in veneer and LVL manufacturing in subtropical eastern Australia," Forest Policy and Economics, Elsevier, vol. 128(C).

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