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Biomass transport cost from field to conversion facility when biomass yield density and road network vary with transport radius

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  • Golecha, Rajdeep
  • Gan, Jianbang

Abstract

Biomass transport cost from field to a conversion facility is a major component of biofuel production cost. Several studies have provided a general framework, independent of location, for maximising cost competitiveness of bioenergy plants. The majority of these studies assume uniform spatial distribution of biomass and road network, independent of the size of the biorefinery. Although this assumption simplifies the theoretical derivation, it may not be suitable for practical cases. We develop a more generic biomass transport model that allows biomass yield density and road network vary with transport radius, and then derive a formula for determining biomass transport cost, which more accurately represents changes in biomass transport cost with conversion plant capacity. The formula can be used to evaluate locations and investment opportunities in large scale biofuel production.

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  • Golecha, Rajdeep & Gan, Jianbang, 2016. "Biomass transport cost from field to conversion facility when biomass yield density and road network vary with transport radius," Applied Energy, Elsevier, vol. 164(C), pages 321-331.
  • Handle: RePEc:eee:appene:v:164:y:2016:i:c:p:321-331
    DOI: 10.1016/j.apenergy.2015.11.070
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    Cited by:

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    6. 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.
    7. Wang, Zhanwu & Wang, Zhenfeng & Tahir, Nadeem & Wang, Heng & Li, Jin & Xu, Guangyin, 2020. "Study of synergetic development in straw power supply chain: Straw price and government subsidy as incentive," Energy Policy, Elsevier, vol. 146(C).
    8. Jonas Zetterholm & Elina Bryngemark & Johan Ahlström & Patrik Söderholm & Simon Harvey & Elisabeth Wetterlund, 2020. "Economic Evaluation of Large-Scale Biorefinery Deployment: A Framework Integrating Dynamic Biomass Market and Techno-Economic Models," Sustainability, MDPI, vol. 12(17), pages 1-28, September.
    9. An, Heungjo, 2019. "Optimal daily scheduling of mobile machines to transport cellulosic biomass from satellite storage locations to a bioenergy plant," Applied Energy, Elsevier, vol. 236(C), pages 231-243.
    10. Berazneva, Julia & Woolf, Dominic & Lee, David R., 2021. "Local lignocellulosic biofuel and biochar co-production in Sub-Saharan Africa: The role of feedstock provision in economic viability," Energy Economics, Elsevier, vol. 93(C).
    11. Sarker, Bhaba R. & Wu, Bingqing & Paudel, Krishna P., 2019. "Modeling and optimization of a supply chain of renewable biomass and biogas: Processing plant location," Applied Energy, Elsevier, vol. 239(C), pages 343-355.
    12. Paredes-Sánchez, José P. & García-Elcoro, Víctor E. & Rosillo-Calle, Frank & Xiberta-Bernat, Jorge, 2016. "Assessment of forest bioenergy potential in a coal-producing area in Asturias (Spain) and recommendations for setting up a Biomass Logistic Centre (BLC)," Applied Energy, Elsevier, vol. 171(C), pages 133-141.

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