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GIS-based biomass assessment and supply logistics system for a sustainable biorefinery: A case study with cotton stalks in the Southeastern US

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  • Sahoo, K.
  • Hawkins, G.L.
  • Yao, X.A.
  • Samples, K.
  • Mani, S.

Abstract

Envisioning a sustainable biorefinery requires reliable information on the sustainable availability of biomass, optimal plant location and delivered cost. In this paper, we have developed an integrated Geographic Information System (GIS) based sustainable biomass assessment, site optimization and supply logistics cost model to assess the spatial and temporal availability of crop residues, to identify optimal plant sites and to calculate the delivered cost. The grid-level (30×30m) assessment model was developed for crop residues using three primary sustainability indicators: (1) Soil Erosion (SE), (2) Soil Conditioning Index (SCI) and (3) Crop residue yield ⩾2.5dryMg/ha. The Artificial Neural Networks (ANNs) prediction models for each indicator were developed and implemented in the GIS platform to assess sustainably available crop residues. A multi-criteria geospatial analysis was used to identify suitable plant sites. GIS-based location-allocation model was used to site biorefineries/plants at optimal locations and generate feedstock supply curves. The developed model was demonstrated with the sustainable assessment of cotton stalk (CS) to produce fuel pellets in the study region (Georgia, USA). The model has estimated that about 1.6milliondryMg of CS is available annually to support seven pellet plants with an average annual plant capacity of 200,000dryMg. The average delivered cost of CS ranged between 68 and 75$/dryMg delivered as large rectangular bales with the transport radii ranged from 31 to 60km. The spatial and temporal variations in the topology and crop yield directly influenced the sustainable availability of CS, the optimal plant location and its capacity and the delivered cost. However, the changes in the optimal plant location and delivered cost were minimal for large capacity plants (>400,000dryMg). The developed model can be used to assess multiple crop residues, to manage and control feedstock supply risks and delivered cost variations for a sustainable biorefinery.

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  • Sahoo, K. & Hawkins, G.L. & Yao, X.A. & Samples, K. & Mani, S., 2016. "GIS-based biomass assessment and supply logistics system for a sustainable biorefinery: A case study with cotton stalks in the Southeastern US," Applied Energy, Elsevier, vol. 182(C), pages 260-273.
  • Handle: RePEc:eee:appene:v:182:y:2016:i:c:p:260-273
    DOI: 10.1016/j.apenergy.2016.08.114
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    4. Alessandro Suardi & Sergio Saia & Walter Stefanoni & Carina Gunnarsson & Martin Sundberg & Luigi Pari, 2020. "Admixing Chaff with Straw Increased the Residues Collected without Compromising Machinery Efficiencies," Energies, MDPI, Open Access Journal, vol. 13(7), pages 1-14, April.
    5. Sahoo, Kamalakanta & Bilek, Edward & Bergman, Richard & Mani, Sudhagar, 2019. "Techno-economic analysis of producing solid biofuels and biochar from forest residues using portable systems," Applied Energy, Elsevier, vol. 235(C), pages 578-590.
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    7. Cheng, Jie & Hu, Sheng-Chun & Sun, Guo-Tao & Kang, Kang & Zhu, Ming-Qiang & Geng, Zeng-Chao, 2021. "Comparison of activated carbons prepared by one-step and two-step chemical activation process based on cotton stalk for supercapacitors application," Energy, Elsevier, vol. 215(PB).
    8. Pajones, Markus & Pfoser, Sarah, 2018. "Supporting the selection of sustainable logistics locations," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Logistics 4.0 and Sustainable Supply Chain Management: Innovative Solutions for Logistics and Sustainable Supply Chain Management in the Context of In, volume 26, pages 169-182, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    9. Jin Su Jeong, 2018. "Biomass Feedstock and Climate Change in Agroforestry Systems: Participatory Location and Integration Scenario Analysis of Biomass Power Facilities," Energies, MDPI, Open Access Journal, vol. 11(6), pages 1-16, May.
    10. Alhamwi, Alaa & Medjroubi, Wided & Vogt, Thomas & Agert, Carsten, 2017. "GIS-based urban energy systems models and tools: Introducing a model for the optimisation of flexibilisation technologies in urban areas," Applied Energy, Elsevier, vol. 191(C), pages 1-9.
    11. Sharma, B. & Birrell, S. & Miguez, F.E., 2017. "Spatial modeling framework for bioethanol plant siting and biofuel production potential in the U.S," Applied Energy, Elsevier, vol. 191(C), pages 75-86.
    12. Soha, Tamás & Papp, Luca & Csontos, Csaba & Munkácsy, Béla, 2021. "The importance of high crop residue demand on biogas plant site selection, scaling and feedstock allocation – A regional scale concept in a Hungarian study area," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    13. Jayarathna, Lasinidu & Kent, Geoff & O'Hara, Ian & Hobson, Philip, 2020. "A Geographical Information System based framework to identify optimal location and size of biomass energy plants using single or multiple biomass types," Applied Energy, Elsevier, vol. 275(C).
    14. Fernando López-Rodríguez & Justo García Sanz-Calcedo & Francisco J. Moral-García, 2019. "Spatial Analysis of Residual Biomass and Location of Future Storage Centers in the Southwest of Europe," Energies, MDPI, Open Access Journal, vol. 12(10), pages 1-16, May.
    15. Chopin, Pierre & Guindé, Loïc & Causeret, François & Bergkvist, Göran & Blazy, Jean-Marc, 2019. "Integrating stakeholder preferences into assessment of scenarios for electricity production from locally produced biomass on a small island," Renewable Energy, Elsevier, vol. 131(C), pages 128-136.
    16. Lozano-García, Diego Fabián & Santibañez-Aguilar, José Ezequiel & Lozano, Francisco J. & Flores-Tlacuahuac, Antonio, 2020. "GIS-based modeling of residual biomass availability for energy and production in Mexico," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    17. Sahoo, Kamalakanta & Mani, Sudhagar, 2019. "Economic and environmental impacts of an integrated-state anaerobic digestion system to produce compressed natural gas from organic wastes and energy crops," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    18. Jin Su Jeong & Álvaro Ramírez-Gómez, 2017. "A Multicriteria GIS-Based Assessment to Optimize Biomass Facility Sites with Parallel Environment—A Case Study in Spain," Energies, MDPI, Open Access Journal, vol. 10(12), pages 1-14, December.
    19. Sushil Poudel & Mohammad Marufuzzaman & Md Abdul Quddus & Sudipta Chowdhury & Linkan Bian & Brian Smith, 2018. "Designing a Reliable and Congested Multi-Modal Facility Location Problem for Biofuel Supply Chain Network," Energies, MDPI, Open Access Journal, vol. 11(7), pages 1-24, June.
    20. Arkadiusz Dyjakon & Tomasz Noszczyk, 2019. "The Influence of Freezing Temperature Storage on the Mechanical Durability of Commercial Pellets from Biomass," Energies, MDPI, Open Access Journal, vol. 12(13), pages 1-13, July.

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