Special Issue "Energy Efficient Systems, Sensors, and Smart Management Approaches for Industry 4.0"

A special issue of Energies (ISSN 1996-1073).

Deadline for manuscript submissions: closed (31 October 2019).

Special Issue Editors

Prof. Dr. Federica Cucchiella
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Guest Editor
Prof. Dr. Vincenzo Stornelli
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Guest Editor
Department of Industrial and Information Engineering and Economics, Università degli Studi dell'Aquila, Via Camponeschi, 19, 67100 L'Aquila AQ, Italy
Interests: filters; integrated circuits; MMIC; sensors; sensors interfaces
Special Issues and Collections in MDPI journals
Prof. Dr. Marianna Rotilio
Website
Guest Editor
University of L’Aquila, Italy
Interests: sustainable rehabilitation; historical buildings; renewable energy; green infrastructures; construction site management
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue aims to address recent advances, technical challenges, and solutions for energy-efficient industry processes in terms of management, systems, and sensors for current industrial processes (Industry 4.0). The integration of high-tech systems for data storage and management, such as BIM software, with equipment always present on-site featuring ICT sensors represents the future of constructions in terms of quality of implementation, sharing of information, but above all in terms of rationalization of consumption and corporate risk management, in the construction site. Moreover, energy-efficient production systems and managerial approaches in Industry 4.0 present inevitable new challenges as sensing strategies and data analysis, presenting new opportunities from an environmental perspective. Prospective authors are invited to submit findings and explore emerging technologies with original research contributions and reviews.

Appropriate topics include, but are not limited to, the following:

  • Efficient solutions for determining and integrating sensor/actuator for Industry 4.0
  • Innovative sensing strategies for energy-efficient process monitoring
  • Use of additive manufacturing in Industry 4.0
  • Real-time manufacturing energy data analysis and diagnostics
  • Internet-of-Things (IoTs)
  • Solutions for a smart and efficient construction site
  • Efficient production engineering computing
  • BIM and sensors for the construction site
  • Enviromental protection
  • Sustainable production sysyem

Prof. Federica Cucchiella
Prof. Vincenzo Stornelli
Prof. Dr. Marianna Rotilio
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 papers will be 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 1800 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

  • Industry 4.0
  • ICT
  • BIM
  • Internet-of-Things
  • sensors for industry and construction site
  • cgreen management
  • environmental protection

Published Papers (2 papers)

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Research

Open AccessArticle
Analysing the Utilisation Effectiveness of Mining Machines Using Independent Data Acquisition Systems: A Case Study
Energies 2019, 12(13), 2505; https://doi.org/10.3390/en12132505 - 28 Jun 2019
Cited by 22
Abstract
Growing competition in the market for energy raw materials needed for power generation has led to an increasing number of measures being undertaken in the mining sector to reduce the unit costs of mining production. One of the areas that offer considerable savings [...] Read more.
Growing competition in the market for energy raw materials needed for power generation has led to an increasing number of measures being undertaken in the mining sector to reduce the unit costs of mining production. One of the areas that offer considerable savings in this regard is the utilisation of the technical resources owned by mines. This article is therefore focussed on analysing the utilisation effectiveness of these machines, based on the data recorded by industrial automation systems, as well as on measurements from independent surveying and chemical analysis of the excavated material’s quality. For this purpose, a methodology was developed to use the data about the operational parameters of the machines in order to analyse the effectiveness of their utilisation. It was assumed that the reliability of this assessment would depend mainly on the quality of the data used to conduct it. It was also assumed that using independent data sources for the analysis would provide objective and reliable information on the operation of the machines, devoid of any subjective feelings of the personnel or other factors. The developed methodology, based on a modified Overall Equipment Effectiveness (OEE) model, was used to analyse four machines that comprise the automated longwall system. Values were determined for each machine, including their availability, performance and product quality. This, in turn, made it possible to determine a total effectiveness indicator, based on a modified Overall Equipment Effectiveness (OEE) model, for the particular machines and the entire technical systems they form. The obtained results were used to assess the effectiveness of their utilisation and recommend corrective measures aimed at improving this metric. Moreover, the analysis results made it possible to assess the utilisation status of the machines in question. They also served as the basis for determining further lines of research, the purpose of which is to improve the effectiveness of the mining sector. The obtained results indicated that this process requires the wide application of IT tools, especially for data archiving and analysis. These tools, along with the developed model and methodology based on the analysis of large volumes of digital data, are in accord with the activities related to the implementation of Industry 4.0 idea in mining. It is the authors’ opinion that the material at hand should find a wide range of practical applications in supporting the management of technical resources within the mining sector. Full article
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Open AccessArticle
SPOF—Slave Powerlink on FPGA for Smart Sensors and Actuators Interfacing for Industry 4.0 Applications
Energies 2019, 12(9), 1633; https://doi.org/10.3390/en12091633 - 29 Apr 2019
Cited by 3
Abstract
We here present a new PLC-POWERLINK industrial solution for Industry 4.0 applications. The proposed solution provides the capability to separate the sensing functionality from the PLC-side, in demand for the reconfigurable FPGA implementation. In particular, we here provide a framework that supports the [...] Read more.
We here present a new PLC-POWERLINK industrial solution for Industry 4.0 applications. The proposed solution provides the capability to separate the sensing functionality from the PLC-side, in demand for the reconfigurable FPGA implementation. In particular, we here provide a framework that supports the interfacing between the POWERLINK protocol and commonly used standards, such as I2C, SPI, and UART. This has been obtained by using a framework built around a soft IP-core Application Processor, which manages the interfacing with several POWERLINK slaves, able to support the data exchange with the POWERLINK Communication Processor. A practical application example and related implementation details are presented in the paper. Full article
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