Economic and Production-Related Implications for Industrial Energy Efficiency: A Logistic Regression Analysis on Cross-Cutting Technologies

Fábio de Oliveira Neves, Henrique Ewbank, José Arnaldo Frutuoso Roveda, Andrea Trianni, Fernando Pinhabel Marafão and Sandra Regina Monteiro Masalskiene Roveda
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Fábio de Oliveira Neves: Institute of Science and Technology, São Paulo State University (UNESP), Sorocaba 18087-180, Brazil
Henrique Ewbank: Department of Production Engineering, Facens University, Sorocaba 18085-784, Brazil
José Arnaldo Frutuoso Roveda: Institute of Science and Technology, São Paulo State University (UNESP), Sorocaba 18087-180, Brazil
Andrea Trianni: Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney 2007, Australia
Fernando Pinhabel Marafão: Institute of Science and Technology, São Paulo State University (UNESP), Sorocaba 18087-180, Brazil
Sandra Regina Monteiro Masalskiene Roveda: Institute of Science and Technology, São Paulo State University (UNESP), Sorocaba 18087-180, Brazil

Energies, 2022, vol. 15, issue 4, 1-19

Abstract: Increased industrial energy efficiency (EE) has become one of the main environmental actions to mitigate carbon dioxide (CO 2 ) emissions, contributing also to industrial competitiveness, with several implications on the production system and cost management. Unfortunately, literature is currently lacking empirical evidence on the impact of energy efficiency solutions on production. Thus, this work primarily aims at investigating the economic and production-related influence on the reduction in industrial energy consumption, considering the cross-cutting technologies HVAC, motors, lighting systems and air compressor systems. The analysis is performed using data from previous studies that characterized the main EE measures for the cross-cutting technologies. Four logistic models were built to understand how costs and production influence energy efficiency across such cross-cutting technologies. In this way, motivating industries to implement measures to reduce electrical consumption, offering an economic cost–benefit analysis and optimizing industry processes so that the reduction in electricity consumption adds to industrial energy efficiency were the aims of this study. The results of this work show through the adjusted indicators that senior management is mainly responsible for energy savings. The operational measures of each piece of equipment can be oriented in the industry towards a specific maintenance process for each technology, becoming an active procedure in industrial productions to obtain EE. Additionally, maintenance planning and control is essential to the reliability of the reduced energy consumption of cross-cutting technologies. This article concludes with managerial implications and suggestions for future research in this field.

Keywords: energy efficiency; implications in the industrial sector; technological gap; economic and production-related indicators; logistic regression (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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