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Energies 2017, 10(9), 1391; https://doi.org/10.3390/en10091391

Analysis of the Brazilian Energy Efficiency Program for Electricity Distribution Systems

1
Graduate Program in Electrical Engineering, Federal University of Para, Belem 66075-110, Brazil
2
Laboratory of Artificial Intelligence and Decision Support, Institute for Systems and Computer Engineering, Technology and Science, 4200 Porto, Portugal
*
Author to whom correspondence should be addressed.
Received: 12 June 2017 / Revised: 3 September 2017 / Accepted: 8 September 2017 / Published: 13 September 2017
(This article belongs to the Section Electrical Power and Energy System)
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Abstract

In this paper, a methodology was developed to analyze the results of energy efficiency programs used in the electricity distribution sector in Brazil. Analyzing the gains obtained through the investments made, and classifying which actions resulted in the best performance, contributed to decision making on the best allocation of investments to obtain the greatest energy savings. The Brazilian Energy Efficiency program was analyzed with a developed non-parametric model, using the data envelopment analysis method, and the categories of projects with better performance were determined. A database of the results from 1704 projects, from 2008 to 2016 in the Energy Efficiency program in Brazil´s electricity distribution sector, was used. The results obtained show that the best performance was achieved by projects in the industrial and cogeneration categories; however, in Brazil these constitute only 4.24% of the projects presented and 5.28% of the total investments in the last eight years, indicating a need to review the regulatory strategies for energy efficiency in this country. View Full-Text
Keywords: energy efficiency; electricity distribution; data envelopment analysis energy efficiency; electricity distribution; data envelopment analysis
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Silva, R.D.S.; Oliveira, R.C.; Tostes, M.E.L. Analysis of the Brazilian Energy Efficiency Program for Electricity Distribution Systems. Energies 2017, 10, 1391.

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