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Enhancing Energy Efficiency in Industry 4.0 for Sustainable Production, Smart Design and Manufacturing, Demand-Side Management, and Efficient Scheduling with Renewable Energy Sources

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "B1: Energy and Climate Change".

Deadline for manuscript submissions: 18 June 2024 | Viewed by 806

Special Issue Editors

Dr. Raoudha Gaha

E-Mail Website
Guest Editor
Roberval Laboratory of Mechanics Royallieu Research Center, University of Technology of Compiègne, 60203 Compiègne CEDEX, France
Interests: eco-design; suatainable manufacturing; Industry 4.0 technologies
Dr. Berk Celik

E-Mail Website
Guest Editor
Avenues, Centre Pierre Guillaumat, Université de Technologie de Compiègne, 60203 Compiègne, France
Interests: power system; renewable energy; energy storage; demand response
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In the current era of a global transition towards sustainability, the exploration of energy-saving and emission reduction strategies within industries and manufacturing processes has emerged as a significant international research focal point. This heightened focus stems from the recognition of the pivotal role played by industries in contributing to environmental challenges, and the urgent need to mitigate these impacts. In the green transition, energy-saving and emission reduction strategies in industries and manufacturing processes present an international research hotspot. Researchers are currently focused on the establishment of energy saving interventions via the development of measurement models, key performance indicators (KPI), smart technologies, sustainable design and manufacturing approaches, energy-efficient scheduling models, management procedures, or the search for renewable energy sources. In addition, emission reduction presents a relevant field of research in countries across the world because vigorously reducing the carbon emissions produced by industry will result in enormous, revolutionary changes. In essence, the dynamic interplay between energy-saving and emission reduction strategies within the manufacturing industry represents a multifaceted and globally relevant research pursuit. The outcomes of these endeavors hold the promise of not only mitigating the environmental impact of industrial processes, but also steering the industrial landscape toward a more sustainable and eco-friendly future. 

In detail, this upcoming Special Issue aims to serve as a guiding resource and help industrial entities to achieve heightened energy efficiency, diminish their carbon emissions, and advance overall sustainability through the incorporation of Industry 4.0 (I4.0) technologies. The scope of this Special Issue, but is not restricted to, the following topics:

  • Analysis of the current situation of sustainable industrial processes and the use of Industry 4.0 technologies in the assessment, measurement, and management of energy-saving and emission reduction strategies.
  • New proposed technologies for smart sustainable design and production.
  • Assessment of the impacts of emerging technologies on sustainability. 
  • Integration of renewable energies and energy storage for enhanced energy self-sufficiency. 
  • Integration of energy-efficient scheduling models in intelligent production systems.
  • In-depth exploration of demand-side management and demand–response integration in the manufacturing industry. 

Dr. Raoudha Gaha
Dr. Berk Celik
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • sustainable production
  • Industry 4.0
  • renewable energy sources
  • demand-side management
  • energy-efficient scheduling

Published Papers (1 paper)

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Research

20 pages, 2481 KiB  
Article
Tackling Uncertainty: Forecasting the Energy Consumption and Demand of an Electric Arc Furnace with Limited Knowledge on Process Parameters
by Vanessa Zawodnik, Florian Christian Schwaiger, Christoph Sorger and Thomas Kienberger
Energies 2024, 17(6), 1326; https://doi.org/10.3390/en17061326 - 10 Mar 2024
Viewed by 578
Abstract
The iron and steel industry significantly contributes to global energy use and greenhouse gas emissions. The rising deployment of volatile renewables and the resultant need for flexibility, coupled with specific challenges in electric steelmaking (e.g., operation optimization, optimized power purchasing, effective grid capacity [...] Read more.
The iron and steel industry significantly contributes to global energy use and greenhouse gas emissions. The rising deployment of volatile renewables and the resultant need for flexibility, coupled with specific challenges in electric steelmaking (e.g., operation optimization, optimized power purchasing, effective grid capacity monitoring), require accurate energy consumption and demand forecasts for electric steel mills to align with the energy transition. This study investigates diverse approaches to forecast the energy consumption and demand of an electric arc furnace—one of the largest consumers on the grid—considering various forecast horizons and objectives with limited knowledge on process parameters. The results are evaluated for accuracy, robustness, and costs. Two grid connection capacity monitoring approaches—a one-step and a multi-step Long Short-Term Memory neural network—are assessed for intra-hour energy demand forecasts. The one-step approach effectively models energy demand, while the multi-step approach encounters challenges in representing different operational phases of the furnace. By employing a combined statistic–stochastic model integrating a Seasonal Auto-Regressive Moving Average model and Markov chains, the study extends the forecast horizon for optimized day-ahead electricity procurement. However, the accuracy decreases as the forecast horizon lengthens. Nevertheless, the day-ahead forecast provides substantial benefits, including reduced energy balancing needs and potential cost savings. Full article
(This article belongs to the Special Issue Enhancing Energy Efficiency in Industry 4.0 for Sustainable Production, Smart Design and Manufacturing, Demand-Side Management, and Efficient Scheduling with Renewable Energy Sources)
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Life Cycle Assessment of Piezoelectric Devices Implemented in Wind Turbine Health Monitoring Systems
Authors: Rabie Alouia,b, Raoudha Gahaa, Barbara Lafargea, Berk Celikb
Affiliation: a Roberval, Centre de recherche Royallieu, Université de technologie de Compiègne, CS 60319 - 60203, France b Avenues, Centre Pierre Guillaumat, Université de technologie de Compiègne, 60203, France

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