Prospecting and modeling of primary energy production indicators in Brazil supported by graph theory

Authors

DOI:

https://doi.org/10.33448/rsd-v10i10.19199

Keywords:

Primary energy; Graph theory; Ucinet software; SNA.

Abstract

This research presents a study on the scenario of primary energy production in Brazil over the period from 1970 to 2018, as well as the main sources that contributed to the national energy matrix. To map trends in primary energy production, Social Network Analysis was applied. Also are presented the mathematical models that represent the variation in the centrality and density of primary energy production. Based on the results and the literature on the economy of Brazil in the period between the years 1970 to 2018, it discuss the movements carried out by public policymakers that culminated in a reduction of investments in the sector, even that demand would always be growing. However, it would continue to be linked to the results of small increases in GDP and HDI. Another result was the evolution and of oil as a non-renewable primary source offer for the entire period of the research. Was perceived the alternation of offers from non-renewable sources that, starting with the predominance of firewood, passing on to the generation of hydraulic energy, the most important for two decades, and the substitution by-products derived from sugarcane, which extends until the year 2018. It was also observed that in the period from 2010 to 2018, the share of supply from renewable primary sources, in percentage terms, it is no longer so distant from the share of offers from non-renewable primary sources, almost even dividing availability for the composition of the Brazilian matrix.

Author Biography

Mario Mollo Neto, São Paulo State University

Prof. Dr. Mario Mollo Neto, CNPq Scholar - DT-II Process: 313339 / 2019-8 - Productivity in Technological Development and Innovative Extension, Free Lecturer in Digital Circuits at Universidade Estadual Paulista "Júlio de Mesquita Filho" UNESP; (2019). He has a Post Doctorate in Biosystems Engineering in the area of Rural Constructions and Ambience, from the State University of Campinas (2009), a Doctorate in Agricultural Engineering (CAPES Concept 5) in the area of Rural Constructions and Ambience from the State University of Campinas (2007) , Master's in Production Engineering (CAPES Concept 5) from Universidade Paulista UNIP (2004), and a degree in Industrial Engineering from the São Judas Tadeu University (USJT) (1987). He is currently an Associate Professor in the Biosystems Engineering Course at the Faculty of Science and Engineering (FCE) at Universidade Estadual Paulista - UNESP in TUPÃ.

Department of Biosystems Engineering.

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Published

16/08/2021

How to Cite

MOLLO NETO, M. .; CASAGRANDE, L. M. .; CREMASCO, C. P. .; GABRIEL FILHO, L. R. A. . Prospecting and modeling of primary energy production indicators in Brazil supported by graph theory. Research, Society and Development, [S. l.], v. 10, n. 10, p. e485101019199, 2021. DOI: 10.33448/rsd-v10i10.19199. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/19199. Acesso em: 19 apr. 2024.

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Engineerings