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An approach to technology selection in bioelectricity technical potential assessment: A Brazilian case study

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  • Dovichi Filho, Fernando Bruno
  • Lora, Electo Eduardo Silva
  • Palacio, Jose Carlos Escobar
  • Venturini, Osvaldo José
  • Jaén, René Lesme

Abstract

Technology selection, its power and efficiency determination for electricity generation using agroforestry residues is the main goal and the novelty of this paper. It is based on the fitted efficiency vs. power curves for commercial mature technologies. The assessment of the level of maturity of biomass-based electricity generation Technologies based on Technology Readiness Levels was used as criteria to define the technologies to be considered in this study: conventional Rankine cycle, organic Rankine cycle and gasifier/internal combustion engine. Pretreatment technologies influence on generation costs is determined based on chippers and drum dryers cost and its energy consumption. We developed a coherent methodology for selecting the technology and calculation of power/efficiency of electricity generation projects considering biomass derived from plant-based lignocellulosic solid biomass residues derived from agricultural and forest activities. A case study based on eucalyptus forest residues availability in three microregions of the Minas Gerais State in Brazil allowed to define the technology to be used in each case and its power, efficiency and levelized cost of electricity, that includes pretreatment and logistic costs. Obtained LCOE values are compared with data from different publications, that is a validation of the presented methodology. Results allow concluding about the considerable influence of residues logistics on LCOE.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:272:y:2023:i:c:s0360544223003894
    DOI: 10.1016/j.energy.2023.126995
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