Atilio B. Lourenço

Dr. Atilio B. Lourenço

Department of Mechanical Engineering, Federal University of Espírito Santo, Vitória, Espírito Santo, Brazil
orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

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23 May 2020 in Journal of the Brazilian Society of Mechanical Sciences and Engineering
Verified
Journal Article
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Adriano MarquesAdriano Marques
Adriano Marques
Monica CarvalhoMonica Carvalho
Monica Carvalho
Atilio B. LourençoAtilio B. Lourenço
Atilio B. Lourenço
CSCarlos Antônio Cabral dos Santos
Carlos Antônio Cabral dos Santos

23 August 2019 in SN Applied Sciences
Verified
Journal Article
Open access
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FBFlávio Lopes Francisco Bittencourt
Flávio Lopes Francisco Bittencourt
Atilio B. LourençoAtilio B. Lourenço
Atilio B. Lourenço
EDElias Antônio Dalvi
Elias Antônio Dalvi
Márcio Ferreira MartinsMárcio Ferreira Martins
Márcio Ferreira Martins
Residues with a large amount of organic content represent a potential for energy recovery. Specifically human feces, given the amount of global production and the environmental appeal, appear as a potential candidate for a new feedstock. The objective of this work is to perform a thermodynamic assessment of human feces gasification considering for the first time all inefficiencies of a downdraft gasifier. A thermochemical characterization was conducted from the sterilized raw material to the products. New data and discussions about the conversion efficiencies for such type of fuel are brought up, such as the influence of the exothermic pyrolysis on the chemical exergy destruction. The results suggest an unfavorable application in energetic terms; however, when the exergy analysis is added with the environmental bias, the process becomes more attractive due to the high physical exergy.

11 July 2014 in Journal of the Brazilian Society of Mechanical Sciences and Engineering
Verified
Journal Article
Closed access
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Atilio B. LourençoAtilio B. Lourenço
Atilio B. Lourenço
SNSilvia A. Nebra
Silvia A. Nebra
JSJosé Joaquim C. S. Santos
José Joaquim C. S. Santos
JDJoão Luiz M. Donatelli
João Luiz M. Donatelli

1 March 2020 in Energy
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Journal Article
Closed access
RLRaphael Amorim Lorenzoni
Raphael Amorim Lorenzoni
JSJosé Joaquim Conceição Soares Santos
José Joaquim Conceição Soares Santos
Atilio B. LourençoAtilio B. Lourenço
Atilio B. Lourenço
JDJoão Luiz Marcon Donatelli
João Luiz Marcon Donatelli

16 November 2019 in International Journal of Energy and Water Resources
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Journal Article
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ACA. Chun
A. Chun
MBMarcelo Aiolfi Barone
Marcelo Aiolfi Barone
Atilio B. LourençoAtilio B. Lourenço
Atilio B. Lourenço

17 November 2022 in Entropy
Verified
Journal Article
Open access
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RSRodrigo Guedes dos Santos
Rodrigo Guedes dos Santos
Atilio B. LourençoAtilio B. Lourenço
Atilio B. Lourenço
PFPedro Rosseto Faria
Pedro Rosseto Faria
MBMarcelo Aiolfi Barone
Marcelo Aiolfi Barone
JSJOSE JOAQUIM Conceição Soares CONCEICAO SOARES SANTOS
JOSE JOAQUIM Conceição Soares CONCEICAO SOARES SANTOS
Thermoeconomics connects thermodynamic and economic concepts in order to provide information not available in conventional energy and economic analysis. Most thermoeconomicists agree that exergy is the most appropriate thermodynamic magnitude to associate with cost. In some applications, exergy disaggregation is required. Despite the improvement in result accuracy, the modeling complexity increases. In recent years, different exergy disaggregation approaches have been proposed, mostly to deal with dissipative components and residues, despite all of them also increasing the complexity of thermoeconomics. This study aims to present a new thermoeconomic approach based on exergy disaggregation, which is able to isolate dissipative components with less modeling complexity. This approach, called the A&F Model, splits the physical exergy into two terms, namely, Helmholtz energy and flow work. These terms were evaluated from a thermoeconomic point of view, through a cost allocation in an ideal Carnot cycle, and they were also applied and compared with the UFS Model, through a cost allocation analysis, in a case study with an organic Rankine cycle-powered vapor compression refrigeration system. The complexity and computational effort reduction in the A&F are significantly less than in the UFS Model. This alternative approach yields consistent results.