A Diagnostic Approach to Improving the Energy Efficiency of Production Processes—2E-DAmIcS Methodology.
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| Title: | A Diagnostic Approach to Improving the Energy Efficiency of Production Processes—2E-DAmIcS Methodology. |
|---|---|
| Authors: | Hamrol, Adam1 (AUTHOR) adam.hamrol@put.poznan.pl, Kujawińska, Agnieszka1 (AUTHOR) agnieszka.kujawinska@put.poznan.pl, Brzozowski, Krzysztof2 (AUTHOR) krzysztof.brzozowski@student.put.poznan.pl, Jasiulewicz-Kaczmarek, Małgorzata3 (AUTHOR) malgorzata.jasiulewicz-kaczmarek@put.poznan.pl |
| Source: | Energies (19961073). Dec2024, Vol. 17 Issue 23, p5942. 19p. |
| Subjects: | Sustainability, Statistical energy analysis, Environmental degradation, Operating costs, Manufacturing processes |
| Abstract: | This article presents the issue of energy waste in manufacturing processes, focusing on reducing unnecessary energy consumption and CO2 emissions. A significant challenge in modern production is identifying and minimizing energy waste, which not only increases operational costs but also contributes to environmental degradation. An improvement methodology referred to as 2E-DAmIcS is proposed. A distinguishing feature of the methodology is a risk map of energy waste in the production process. Application of the methodology is demonstrated using the example of a lead–acid battery production process. It is shown that even small but well-diagnosed changes to the process make it possible to significantly reduce energy consumption. The proposed methodology offers practical tools for managers and decision-makers in various industries to systematically identify and minimize energy waste. It highlights the importance of cross-disciplinary collaboration among specialists in technology, energy consumption, and statistical analysis to optimize energy use. By applying this approach, companies can achieve both financial savings and environmental benefits, contributing to more sustainable production practices. [ABSTRACT FROM AUTHOR] |
| Copyright of Energies (19961073) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 181656772 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Diagnostic Approach to Improving the Energy Efficiency of Production Processes—2E-DAmIcS Methodology. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hamrol%2C+Adam%22">Hamrol, Adam</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> adam.hamrol@put.poznan.pl</i><br /><searchLink fieldCode="AR" term="%22Kujawińska%2C+Agnieszka%22">Kujawińska, Agnieszka</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> agnieszka.kujawinska@put.poznan.pl</i><br /><searchLink fieldCode="AR" term="%22Brzozowski%2C+Krzysztof%22">Brzozowski, Krzysztof</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> krzysztof.brzozowski@student.put.poznan.pl</i><br /><searchLink fieldCode="AR" term="%22Jasiulewicz-Kaczmarek%2C+Małgorzata%22">Jasiulewicz-Kaczmarek, Małgorzata</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> malgorzata.jasiulewicz-kaczmarek@put.poznan.pl</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Dec2024, Vol. 17 Issue 23, p5942. 19p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Sustainability%22">Sustainability</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+energy+analysis%22">Statistical energy analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+degradation%22">Environmental degradation</searchLink><br /><searchLink fieldCode="DE" term="%22Operating+costs%22">Operating costs</searchLink><br /><searchLink fieldCode="DE" term="%22Manufacturing+processes%22">Manufacturing processes</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This article presents the issue of energy waste in manufacturing processes, focusing on reducing unnecessary energy consumption and CO2 emissions. A significant challenge in modern production is identifying and minimizing energy waste, which not only increases operational costs but also contributes to environmental degradation. An improvement methodology referred to as 2E-DAmIcS is proposed. A distinguishing feature of the methodology is a risk map of energy waste in the production process. Application of the methodology is demonstrated using the example of a lead–acid battery production process. It is shown that even small but well-diagnosed changes to the process make it possible to significantly reduce energy consumption. The proposed methodology offers practical tools for managers and decision-makers in various industries to systematically identify and minimize energy waste. It highlights the importance of cross-disciplinary collaboration among specialists in technology, energy consumption, and statistical analysis to optimize energy use. By applying this approach, companies can achieve both financial savings and environmental benefits, contributing to more sustainable production practices. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Energies (19961073) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=181656772 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/en17235942 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 5942 Subjects: – SubjectFull: Sustainability Type: general – SubjectFull: Statistical energy analysis Type: general – SubjectFull: Environmental degradation Type: general – SubjectFull: Operating costs Type: general – SubjectFull: Manufacturing processes Type: general Titles: – TitleFull: A Diagnostic Approach to Improving the Energy Efficiency of Production Processes—2E-DAmIcS Methodology. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hamrol, Adam – PersonEntity: Name: NameFull: Kujawińska, Agnieszka – PersonEntity: Name: NameFull: Brzozowski, Krzysztof – PersonEntity: Name: NameFull: Jasiulewicz-Kaczmarek, Małgorzata IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 19961073 Numbering: – Type: volume Value: 17 – Type: issue Value: 23 Titles: – TitleFull: Energies (19961073) Type: main |
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