Affiliations: [a] Electrical Engineering Graduate Program, Department of Electrical Engineering, Federal University of Pará (UFPA), Belém, Brazil
| [b]
Center of Natural Sciences and Technology, Pará State University (UEPA), Belém, Brazil
| [c] Electrical Engineering Graduate Program, Department of Electrical Engineering, Santa Catarina State University (UDESC), Joinville, Brazil
Correspondence:
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Corresponding author. Rafael Ninno Muniz, Electrical Engineering Graduate Program, Department of Electrical Engineering, Federal University of Pará (UFPA), Belém 66075-110, Brazil. Email: muniz@ieee.org.
Abstract: Energy sustainability indicators are essential for evaluating and measuring energy systems’ environmental, social, and economic impact. These indicators can be used to assess the sustainability of different energy sources, such as renewable or fossil fuels, as well as the performance of energy systems in various regions or countries. The goal of this paper is to propose a new energy sustainability index based on fuzzy logic for the Amazon region. The fuzzy inference system enabled the operationalization of subjective sustainability concepts, resulting in a final index that can evaluate the performance of the states in the Legal Amazon and compare them to each other. The results indicated that Mato Grosso had the highest ranking, followed by Tocantins, Amapá, Roraima, Rondônia, Pará, Acre, Maranhão, and Amazonas in the last position. These findings demonstrate that the selected indicators and the final index are effective tools for evaluating the energy sustainability of the Amazon region and can aid public managers in making decisions and proposing sustainable regional development policies for the region.
Keywords: Amazon, energy planning, fuzzy logic, indicators, sustainability
