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Energy balance optimization of sugarcane crop residual biomass

Author

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  • Sartori, Maria Márcia Pereira
  • Florentino, Helenice de Oliveira

Abstract

This work presents a mathematical model for helping mills choose sugarcane varieties for planting. It maximizes crop residual biomass energy balance by considering the difference between generated and consumed energy in the process of transferring this biomass from the field to the processing center; it takes into account enterprise demand restrictions and cane planting area. For this full zero-one linear programming techniques were proposed. The model is viable for choosing sugarcane varieties that would benefit sugarcane production and industrial systems, by reducing crop residue and increasing final energy production.

Suggested Citation

  • Sartori, Maria Márcia Pereira & Florentino, Helenice de Oliveira, 2007. "Energy balance optimization of sugarcane crop residual biomass," Energy, Elsevier, vol. 32(9), pages 1745-1748.
    • Handle: RePEc:eee:energy:v:32:y:2007:i:9:p:1745-1748
    DOI: 10.1016/j.energy.2006.11.013
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    References listed on IDEAS

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    1. Sartori, Maria Márcia Pereira & Florentino, Helenice de Oliveira & Basta, Cesar & Leão, Alcides Lopes, 2001. "Determination of the optimal quantity of crop residues for energy in sugarcane crop management using linear programming in variety selection and planting strategy," Energy, Elsevier, vol. 26(11), pages 1031-1040.
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    Cited by:

    1. Smithers, Jeff, 2014. "Review of sugarcane trash recovery systems for energy cogeneration in South Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 915-925.
    2. Hu, Ming-Che & Huang, An-Lei & Wen, Tzai-Hung, 2013. "GIS-based biomass resource utilization for rice straw cofiring in the Taiwanese power market," Energy, Elsevier, vol. 55(C), pages 354-360.
    3. João Paulo Guerra & Fernando Henrique Cardoso & Alex Nogueira & Luiz Kulay, 2018. "Thermodynamic and Environmental Analysis of Scaling up Cogeneration Units Driven by Sugarcane Biomass to Enhance Power Exports," Energies, MDPI, vol. 11(1), pages 1-23, January.
    4. Xia, Ao & Cheng, Jun & Song, Wenlu & Yu, Cong & Zhou, Junhu & Cen, Kefa, 2013. "Enhancing enzymatic saccharification of water hyacinth through microwave heating with dilute acid pretreatment for biomass energy utilization," Energy, Elsevier, vol. 61(C), pages 158-166.

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