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

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Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorFacens University-
Autor(es): dc.contributorUniversity of Technology Sydney-
Autor(es): dc.creatorNeves, Fábio de Oliveira-
Autor(es): dc.creatorEwbank, Henrique-
Autor(es): dc.creatorRoveda, José Arnaldo Frutuoso-
Autor(es): dc.creatorTrianni, Andrea-
Autor(es): dc.creatorMarafão, Fernando Pinhabel-
Autor(es): dc.creatorRoveda, Sandra Regina Monteiro Masalskiene-
Data de aceite: dc.date.accessioned2025-08-21T16:51:51Z-
Data de disponibilização: dc.date.available2025-08-21T16:51:51Z-
Data de envio: dc.date.issued2022-05-01-
Data de envio: dc.date.issued2022-05-01-
Data de envio: dc.date.issued2022-01-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.3390/en15041382-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/234161-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/234161-
Descrição: dc.descriptionIncreased industrial energy efficiency (EE) has become one of the main environmental actions to mitigate carbon dioxide (CO2) 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.-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
Descrição: dc.descriptionInstitute of Science and Technology São Paulo State University (UNESP)-
Descrição: dc.descriptionDepartment of Production Engineering Facens University-
Descrição: dc.descriptionFaculty of Engineering and Information Technology University of Technology Sydney-
Descrição: dc.descriptionInstitute of Science and Technology São Paulo State University (UNESP)-
Descrição: dc.descriptionCAPES: 001-
Idioma: dc.languageen-
Relação: dc.relationEnergies-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectEconomic and production-related indicators-
Palavras-chave: dc.subjectEnergy efficiency-
Palavras-chave: dc.subjectImplications in the industrial sector-
Palavras-chave: dc.subjectLogistic regression-
Palavras-chave: dc.subjectTechnological gap-
Título: dc.titleEconomic and Production-Related Implications for Industrial Energy Efficiency: A Logistic Regression Analysis on Cross-Cutting Technologies-
Tipo de arquivo: dc.typelivro digital-
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