A Diagnostic Approach to Improving the Energy Efficiency of Production Processes - 2E-DAmIcS Methodology

Adam Hamrol; Agnieszka Kujawińska; Krzysztof Brzozowski; Małgorzata Jasiulewicz-Kaczmarek

doi:10.3390/en17235942

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Title

A Diagnostic Approach to Improving the Energy Efficiency of Production Processes - 2E-DAmIcS Methodology

Authors

Adam Hamrol (WIM) ^{[ 1 ][ 2.9 ][ P ]}
Agnieszka Kujawińska (WIM) ^{[ 1 ][ 2.9 ][ P ]}
Krzysztof Brzozowski
Małgorzata Jasiulewicz-Kaczmarek (WIZ) ^{[ 2 ][ 6.6 ][ P ]}

^{[ 1 ]} Instytut Technologii Materiałów, Wydział Inżynierii Mechanicznej, Politechnika Poznańska | ^{[ 2 ]} Instytut Inżynierii Bezpieczeństwa i Jakości, Wydział Inżynierii Zarządzania, Politechnika Poznańska | ^{[ P ]} employee

Scientific discipline (Law 2.0)

[2.9] Mechanical engineering
[6.6] Management and quality studies

Year of publication

2024

Published in

Energies

Journal year: 2024 | Journal volume: vol. 17 | Journal number: iss. 23

Article type

scientific article

Publication language

english

Keywords

EN

energy efficiency
energy waste
process improvement
lead–acid battery

Abstract

EN 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.

Date of online publication

26.11.2024

Pages (from - to)

5942-1 - 5942-19

DOI

10.3390/en17235942

URL

https://www.mdpi.com/1996-1073/17/23/5942

Comments

Article Number: 5942

License type

CC BY (attribution alone)