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Effects of supply chain structure and biomass prices on bioenergy feedstock supply

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  • De Laporte, Aaron V.
  • Weersink, Alfons J.
  • McKenney, Daniel W.

Abstract

This study assesses the supply of switchgrass and miscanthus, in Ontario, Canada, under different biomass prices and supply chain structures, using an integrated economic, biophysical and GIS model, to assess bioenergy policy. In a local, domestic supply chain, 4 million tonnes of baled biomass production per year becomes attractive for transport to the Nanticoke Generation Station at $69/t. For a larger scale export supply chain to Rotterdam in the form of biomass pellets aggregated on the farm, 20 million tonnes of production becomes attractive at approximately $198/t. For an export supply chain with aggregation at the major ports of Ontario, 20 million tonnes of baled biomass product is attractive for shipping to ports, with pellets subsequently transported to Rotterdam, at around $137/t. Higher bale transportation costs mean that agricultural lands closer to ports, but with lower yields, are preferred compared to the on-farm aggregation scenario. Given government incentives to ease the transition between annual and perennial crops and an actual realized demand from the Nanticoke Generation Station for biomass, this supply chain scenario is plausible. However, export scenarios are not attractive due to infrastructure constraints from current pellet processing capacity, and volatile international energy and commodity markets.

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  • De Laporte, Aaron V. & Weersink, Alfons J. & McKenney, Daniel W., 2016. "Effects of supply chain structure and biomass prices on bioenergy feedstock supply," Applied Energy, Elsevier, vol. 183(C), pages 1053-1064.
  • Handle: RePEc:eee:appene:v:183:y:2016:i:c:p:1053-1064
    DOI: 10.1016/j.apenergy.2016.09.049
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    7. De Laporte, Aaron V. & Ripplinger, David G., 2019. "The effects of site selection, opportunity costs and transportation costs on bioethanol production," Renewable Energy, Elsevier, vol. 131(C), pages 73-82.
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    15. Schipfer, Fabian & Kranzl, Lukas, 2019. "Techno-economic evaluation of biomass-to-end-use chains based on densified bioenergy carriers (dBECs)," Applied Energy, Elsevier, vol. 239(C), pages 715-724.
    16. Mohd F. M. A. Zamri & Jassinnee Milano & Abd H. Shamsuddin & Mohd E. M. Roslan & Siti F. Salleh & Adlansyah A. Rahman & Raihana Bahru & Islam M. R. Fattah & T. M. Indra Mahlia, 2022. "An overview of palm oil biomass for power generation sector decarbonization in Malaysia: Progress, challenges, and prospects," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 11(4), July.
    17. Wu, Wentao & Beretta, Claudio & Cronje, Paul & Hellweg, Stefanie & Defraeye, Thijs, 2019. "Environmental trade-offs in fresh-fruit cold chains by combining virtual cold chains with life cycle assessment," Applied Energy, Elsevier, vol. 254(C).
    18. Moncada, J.A. & Lukszo, Z. & Junginger, M. & Faaij, A. & Weijnen, M., 2017. "A conceptual framework for the analysis of the effect of institutions on biofuel supply chains," Applied Energy, Elsevier, vol. 185(P1), pages 895-915.
    19. Maria F. Aranguren & Krystel K. Castillo-Villar & Mario Aboytes-Ojeda & Marcio H. Giacomoni, 2018. "Simulation-Optimization Approach for the Logistics Network Design of Biomass Co-Firing with Coal at Power Plants," Sustainability, MDPI, vol. 10(11), pages 1-18, November.

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