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Large-scale spatially explicit analysis of carbon capture at cellulosic biorefineries

Author

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  • Eric G. O’Neill

    (Princeton University
    DOE Great Lakes Bioenergy Research Center)

  • Caleb H. Geissler

    (Princeton University
    DOE Great Lakes Bioenergy Research Center)

  • Christos T. Maravelias

    (Princeton University
    DOE Great Lakes Bioenergy Research Center
    Princeton University)

Abstract

The large-scale production of cellulosic biofuels would involve spatially distributed systems including biomass fields, logistics networks and biorefineries. Better understanding of the interactions between landscape-related decisions and the design of biorefineries with carbon capture and storage (CCS) in a supply chain context is needed to enable efficient systems. Here we analyse the cost and greenhouse gas mitigation potential for cellulosic biofuel supply chains in the US Midwest using realistic spatially explicit land availability and crop productivity data and consider fuel conversion technologies with detailed CCS design for their associated CO2 streams. Optimization methods identify trade-offs and design strategies leading to systems with attractive environmental and economic performance. Strategic and operational decisions depend on underlying spatial features and are sensitive to biofuel demand and CCS incentives. US CCS incentives neglect to motivate greenhouse gas mitigation from all supply chain emission sources, which leverage spatial interactions between CCS, electricity prices and the biomass landscape.

Suggested Citation

  • Eric G. O’Neill & Caleb H. Geissler & Christos T. Maravelias, 2024. "Large-scale spatially explicit analysis of carbon capture at cellulosic biorefineries," Nature Energy, Nature, vol. 9(7), pages 828-838, July.
  • Handle: RePEc:nat:natene:v:9:y:2024:i:7:d:10.1038_s41560-024-01532-8
    DOI: 10.1038/s41560-024-01532-8
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    References listed on IDEAS

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    1. John L. Field & Samuel G. Evans & Ernie Marx & Mark Easter & Paul R. Adler & Thai Dinh & Bryan Willson & Keith Paustian, 2018. "High-resolution techno–ecological modelling of a bioenergy landscape to identify climate mitigation opportunities in cellulosic ethanol production," Nature Energy, Nature, vol. 3(3), pages 211-219, March.
    2. Zhang, Jun & Osmani, Atif & Awudu, Iddrisu & Gonela, Vinay, 2013. "An integrated optimization model for switchgrass-based bioethanol supply chain," Applied Energy, Elsevier, vol. 102(C), pages 1205-1217.
    3. García-Velásquez, Carlos A. & Cardona, Carlos A., 2019. "Comparison of the biochemical and thermochemical routes for bioenergy production: A techno-economic (TEA), energetic and environmental assessment," Energy, Elsevier, vol. 172(C), pages 232-242.
    4. Cobuloglu, Halil I. & Büyüktahtakın, İ. Esra, 2015. "Food vs. biofuel: An optimization approach to the spatio-temporal analysis of land-use competition and environmental impacts," Applied Energy, Elsevier, vol. 140(C), pages 418-434.
    5. Ilya Gelfand & Ritvik Sahajpal & Xuesong Zhang & R. César Izaurralde & Katherine L. Gross & G. Philip Robertson, 2013. "Sustainable bioenergy production from marginal lands in the US Midwest," Nature, Nature, vol. 493(7433), pages 514-517, January.
    6. Tyler J. Lark & Seth A. Spawn & Matthew Bougie & Holly K. Gibbs, 2020. "Cropland expansion in the United States produces marginal yields at high costs to wildlife," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    7. Nguyen, Trung H. & Granger, Julien & Pandya, Deval & Paustian, Keith, 2019. "High-resolution multi-objective optimization of feedstock landscape design for hybrid first and second generation biorefineries," Applied Energy, Elsevier, vol. 238(C), pages 1484-1496.
    8. Selosse, Sandrine & Ricci, Olivia, 2014. "Achieving negative emissions with BECCS (bioenergy with carbon capture and storage) in the power sector: New insights from the TIAM-FR (TIMES Integrated Assessment Model France) model," Energy, Elsevier, vol. 76(C), pages 967-975.
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