Fernando Bruno Dovichi

Dr. Fernando Bruno Dovichi

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Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 March 2023 in Energy
Verified
Journal Article
Closed access
FDFernando Bruno Dovichi
Fernando Bruno Dovichi
ELElecto Eduardo Silva Lora
Electo Eduardo Silva Lora
JPJose Carlos Escobar Palacio
Jose Carlos Escobar Palacio
Osvaldo José VenturiniOsvaldo José Venturini
Osvaldo José Venturini
RJRené Lesme Jaén
René Lesme Jaén

1 May 2025 in Energies
Verified
Journal Article
Open access
PDF file
FDFernando Bruno Dovichi
Fernando Bruno Dovichi
Electo Eduardo Silva LoraElecto Eduardo Silva Lora
Electo Eduardo Silva Lora
Diego Mauricio Yepes MayaDiego Mauricio Yepes Maya
Diego Mauricio Yepes Maya
JPJosé Carlos Escobar Palacio
José Carlos Escobar Palacio
Osvaldo José VenturiniOsvaldo José Venturini
Osvaldo José Venturini
MEMarcelo Risso Errera
Marcelo Risso Errera
This study presents a methodology for assessing the technical and economic potential of electricity generation from biomass residues, using thermochemical conversion technologies. Applied in the state of Minas Gerais, Brazil, the analysis focuses on residues from corn, soybean, coffee, eucalyptus, and sugarcane. A multi-criteria decision-making (MCDM) approach, integrated with GIS, was used to identify the most viable biomass sources and most suitable conversion technologies, namely the Rankine cycle, organic Rankine cycle, and gasification with internal combustion engines, based on Technological Readiness Levels (TRLs). Eucalyptus emerged as the most suitable residue due to its high energy density, while sugarcane residues were the most abundant. The economic feasibility analysis indicates levelized costs ranging from USD 0.10 to USD 0.24 per kWh, with the conventional Rankine cycle emerging as the most cost-effective option for plants with a capacity exceeding 5 MWe. The proposed methodology supports strategic bioenergy planning by integrating geospatial, technological, and economic factors.