2022
DOI: 10.1590/0103-6513.20210065
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Energy efficiency decision-making in non-energy intensive industries: content and social network analysis

Abstract: Paper aims: The present study aims to identify the limitations of the artifacts used in the decision-making process in the adoption of energy efficiency measures in productive systems, using non-intensive energy companies as a delimitation.Originality: Identifies authors and connections, the relationships between them and how these interactions contribute to the advancement of knowledge on the subject. Regarding energy efficiency, studies show that the real investment in initiatives in the industrial sector is… Show more

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Cited by 2 publications
(1 citation statement)
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“…According to [16], the presence of power quality (PQ) disturbances has a detrimental effect on the electrical characteristics of power systems, resulting in diminished performance and reduced lifespans of connected equipment. According to [17][18][19], in the current scenario, the proliferation of power-electronics-based loads is on the rise due to their inherent advantages, such as improved efficiency and compactness [20]. However, these loads have significant drawbacks as they introduce harmonics and reactive power into the distribution network, thereby deteriorating the power quality of the grid and leading to increased distribution losses [21].…”
Section: Introductionmentioning
confidence: 99%
“…According to [16], the presence of power quality (PQ) disturbances has a detrimental effect on the electrical characteristics of power systems, resulting in diminished performance and reduced lifespans of connected equipment. According to [17][18][19], in the current scenario, the proliferation of power-electronics-based loads is on the rise due to their inherent advantages, such as improved efficiency and compactness [20]. However, these loads have significant drawbacks as they introduce harmonics and reactive power into the distribution network, thereby deteriorating the power quality of the grid and leading to increased distribution losses [21].…”
Section: Introductionmentioning
confidence: 99%