Author
Listed:
- Cagno, Enrico
- Accordini, Davide
- Thollander, Patrik
- Andrei, Mariana
- Hasan, A S M Monjurul
- Pessina, Sonia
- Trianni, Andrea
Abstract
Manufacturing industries face significant challenges in reducing final energy use and improving Energy Management Practices (EnMPs). Industry 4.0 (I4.0) technologies provide transformative opportunities to address these challenges, yet their integration with EnMPs remains underexplored. This study aims to fill this gap by reviewing I4.0 solutions applied in manufacturing and assessing their impact on companies' Energy Management strategies. Specifically, the study develops a Smart Factory framework, categorizes I4.0 technologies into four clusters (system, infrastructure, service, and process) and identifies nine key Areas of Impact. The framework systematically maps these technologies to assess their effects on Energy Management. This model is validated and applied in two Swedish firms manufacturing respectively automotive components and heavy machinery, and machine tool accessories. Results indicate that EnMPs affect multiple areas, while their most notable impact is observed in the area of ‘awareness’, ‘connectivity & integration’, and ‘visualization’. Similarly, I4.0 technologies enhance EnMPs by improving energy monitoring, performance evaluation, and energy-efficient process design. Internet of Things emerged as a critical enabler, facilitating real-time energy data collection and analysis, while Artificial Intelligence and Big Data Analytics provided predictive capabilities to optimize energy use and prevent inefficiencies. Simulation tools and Virtual Reality supported process visualization and design optimization, while Advanced Robotics enhanced flexibility and reduced operational energy waste. Energy-aware production scheduling, predictive maintenance, and the design of energy-efficient systems were the most significantly impacted practices. This framework demonstrates how I4.0 technologies can enable the transition towards smarter, energy-efficient manufacturing, contributing to industrial decarbonization and sustainability goals. By providing actionable insights, the framework equips researchers and practitioners with a systematic approach to integrating digital technologies and energy management strategies, bridging a critical gap in the literature.
Suggested Citation
Cagno, Enrico & Accordini, Davide & Thollander, Patrik & Andrei, Mariana & Hasan, A S M Monjurul & Pessina, Sonia & Trianni, Andrea, 2025.
"Energy management and industry 4.0: Analysis of the enabling effects of digitalization on the implementation of energy management practices,"
Applied Energy, Elsevier, vol. 390(C).
Handle:
RePEc:eee:appene:v:390:y:2025:i:c:s0306261925006075
DOI: 10.1016/j.apenergy.2025.125877
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:390:y:2025:i:c:s0306261925006075. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.