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Optimization of harvest and logistics for multiple lignocellulosic biomass feedstocks in the northeastern United States

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  • Wang, Yuxi
  • Wang, Jingxin
  • Schuler, Jamie
  • Hartley, Damon
  • Volk, Timothy
  • Eisenbies, Mark

Abstract

A mixed-integer linear programming model was developed to optimize the multiple biomass feedstock supply chains, including feedstock establishment, harvest, storage, transportation, and preprocessing. The model was applied for analyses of multiple biomass feedstocks at county level for 13 states in the northeastern United States. In the base case with a demand of 180,000 dry Mg/year of biomass, the delivered costs ranged from $67.90 to $86.97 per dry Mg with an average of $79.58/dry Mg. The biomass delivered costs by county were from $67.90 to 150.81 per dry Mg across the northeastern U.S. Considered the entire study area, the delivered cost averaged $85.30/dry Mg for forest residues, $84.47/dry Mg for hybrid willow, $99.68 for switchgrass and $97.87 per dry Mg for Miscanthus. Seventy seven out of 387 counties could be able to deliver biomass at $84 per dry Mg or less a target set by US DOE by 2022. A sensitivity analysis was also conducted to evaluate the effects of feedstock availability, feedstock price, moisture content, procurement radius, and facility demand on the delivered cost. Our results showed that procurement radius, facility capacity, and forest residue availability were the most sensitive factors affecting the biomass delivered costs.

Suggested Citation

  • Wang, Yuxi & Wang, Jingxin & Schuler, Jamie & Hartley, Damon & Volk, Timothy & Eisenbies, Mark, 2020. "Optimization of harvest and logistics for multiple lignocellulosic biomass feedstocks in the northeastern United States," Energy, Elsevier, vol. 197(C).
    • Handle: RePEc:eee:energy:v:197:y:2020:i:c:s0360544220303674
    DOI: 10.1016/j.energy.2020.117260
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    References listed on IDEAS

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    Cited by:

    1. Yuxi Wang & Jingxin Wang & Xufeng Zhang & Shawn Grushecky, 2020. "Environmental and Economic Assessments and Uncertainties of Multiple Lignocellulosic Biomass Utilization for Bioenergy Products: Case Studies," Energies, MDPI, vol. 13(23), pages 1-20, November.
    2. Luo, Li & O'Hehir, Jim & Regan, Courtney M. & Meng, Li & Connor, Jeffery D. & Chow, Christopher W.K., 2021. "An integrated strategic and tactical optimization model for forest supply chain planning," Forest Policy and Economics, Elsevier, vol. 131(C).
    3. Nicuşor Boja & Stelian Alexandru Borz, 2020. "Energy Inputs in Motor-Manual Release Cutting of Broadleaved Forests: Results of Twelve Options," Energies, MDPI, vol. 13(18), pages 1-18, September.
    4. Suzan Abdelhady & Mohamed A. Shalaby & Ahmed Shaban, 2021. "Techno-Economic Analysis for the Optimal Design of a National Network of Agro-Energy Biomass Power Plants in Egypt," Energies, MDPI, vol. 14(11), pages 1-26, May.
    5. Leonel J. R. Nunes & Sandra Silva, 2023. "Optimization of the Residual Biomass Supply Chain: Process Characterization and Cost Analysis," Logistics, MDPI, vol. 7(3), pages 1-21, August.
    6. Walter Stefanoni & Francesco Latterini & Luigi Pari, 2023. "Perennial Grass Species for Bioenergy Production: The State of the Art in Mechanical Harvesting," Energies, MDPI, vol. 16(5), pages 1-12, February.
    7. Seyed Hashem Mousavi-Avval & Sami Khanal & Ajay Shah, 2023. "Assessment of Potential Pennycress Availability and Suitable Sites for Sustainable Aviation Fuel Refineries in Ohio," Sustainability, MDPI, vol. 15(13), pages 1-14, July.

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