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Forest biomass feedstock cost sensitivity to grinding parameters for bio-jet fuel production

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  • Marrs, Gevan
  • Zamora-Cristales, Rene
  • Sessions, John

Abstract

Forest harvest residuals in the USA Pacific Northwest are a significant and largely underutilized source of renewable feedstock for “green” power. These forest harvest residuals are, however, not a uniform commodity and many choices can be made for source location, which tree parts to include in the harvest, how to comminute, transport, and process at a biofuels mill-site. Each of these many decisions can and should be informed by the overall impact on value chain costs, including all production costs and any impacts on the conversion process. The number of operational choices is large and the optimal solution not obvious. This paper explores the quantification of a number of the most likely significant operational choices in feedstock harvesting and preparation, and quantifies and ranks the main factors which can impact total value to the overall process of converting forest harvest residues to bio-jet fuel. Under the assumptions used here, total grinding costs are the largest cost impact factor, with a $26.12 per oven-dry tonne impact range. Higher bulk density (as long as moisture content is low enough) reduces hauling cost and is the second most powerful cost effect, having an impact range of $11.31 per oven-dry tonne.

Suggested Citation

  • Marrs, Gevan & Zamora-Cristales, Rene & Sessions, John, 2016. "Forest biomass feedstock cost sensitivity to grinding parameters for bio-jet fuel production," Renewable Energy, Elsevier, vol. 99(C), pages 1082-1091.
    • Handle: RePEc:eee:renene:v:99:y:2016:i:c:p:1082-1091
    DOI: 10.1016/j.renene.2016.07.071
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    References listed on IDEAS

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    1. Rismiller, Craig W. & Tyner, Wallace E., 2009. "Cellulosic Biofuels Analysis: Economic Analysis Of Alternative Technologies," Working papers 53583, Purdue University, Department of Agricultural Economics.
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    Cited by:

    1. Yilmaz, Nadir & Atmanli, Alpaslan, 2017. "Sustainable alternative fuels in aviation," Energy, Elsevier, vol. 140(P2), pages 1378-1386.
    2. Dovichi Filho, Fernando Bruno & Lora, Electo Eduardo Silva & Palacio, Jose Carlos Escobar & Venturini, Osvaldo José & Jaén, René Lesme, 2023. "An approach to technology selection in bioelectricity technical potential assessment: A Brazilian case study," Energy, Elsevier, vol. 272(C).
    3. Pokharel, Raju & Latta, Gregory S., 2020. "A network analysis to identify forest merchantability limitations across the United States," Forest Policy and Economics, Elsevier, vol. 116(C).
    4. Rezania, Shahabaldin & Oryani, Bahareh & Cho, Jinwoo & Talaiekhozani, Amirreza & Sabbagh, Farzaneh & Hashemi, Beshare & Rupani, Parveen Fatemeh & Mohammadi, Ali Akbar, 2020. "Different pretreatment technologies of lignocellulosic biomass for bioethanol production: An overview," Energy, Elsevier, vol. 199(C).
    5. de Souza, Lorena Mendes & Mendes, Pietro A.S. & Aranda, Donato A.G., 2020. "Oleaginous feedstocks for hydro-processed esters and fatty acids (HEFA) biojet production in southeastern Brazil: A multi-criteria decision analysis," Renewable Energy, Elsevier, vol. 149(C), pages 1339-1351.
    6. Klein, Bruno Colling & Chagas, Mateus Ferreira & Junqueira, Tassia Lopes & Rezende, Mylene Cristina Alves Ferreira & Cardoso, Terezinha de Fátima & Cavalett, Otavio & Bonomi, Antonio, 2018. "Techno-economic and environmental assessment of renewable jet fuel production in integrated Brazilian sugarcane biorefineries," Applied Energy, Elsevier, vol. 209(C), pages 290-305.
    7. Mirkouei, Amin & Haapala, Karl R. & Sessions, John & Murthy, Ganti S., 2017. "A review and future directions in techno-economic modeling and optimization of upstream forest biomass to bio-oil supply chains," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 15-35.

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