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Energies
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Energy-Aware Cyber-Physical Systems
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Energy-Aware Cyber-Physical Systems

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

Deadline for manuscript submissions: closed (31 January 2020) | Viewed by 14056

Special Issue Editors

Prof. Dr. Damien Trentesaux

E-Mail Website
Guest Editor
LAMIH-UMR CNRS, Université Polytechnique Hauts-de-France, 59313 Valenciennes, France
Interests: Industry 4.0; sustainable/energy aware scheduling; intelligent/active product; physical Internet; manufacturing systems; transportation systems; logistics; supply-chains
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Smaïl Niar

E-Mail Website
Guest Editor
LAMIH-UMR CNRS, Université Polytechnique Hauts-de-France, 59313 Valenciennes, France
Interests: multi-processor system-on-chip (MPSoC) design; intelligent transportation systems (ITS); advanced driver assistant systems (ADAS); reconfigurable MPSoC architectures; automotive applications

Special Issue Information

Dear colleagues,

Optimisation, reactivity, adaptation and resilience in energy consumption, harvesting, saving, and delivery are major societal and environmental requirements of all kinds of modern systems, at lower scales (e.g., a robot in a manufacturing system) or at higher ones (e.g., smart grids, smart buildings, logistic/supply networks, etc.). Consumers, conveyers and producers—requiring energy, goods, or services—are now integrated and mutually dependent through various information and communication networks. In that context, the Cyber-Physical Systems (CPS) approach, which aims to merge the digital and the physical worlds through networks, could constitute a real opportunity for researchers and practitioners. CPS enables the integration of various sensors and actuators through automated or human-based decision, monitoring, and control loops. Using these features, designing energy-based or energy-aware CPS could facilitate the attainment of the introduced societal and environmental needs and the design of new and efficient services. Meanwhile, scientific issues can be identified. These issues concern (but are not limited to) the design of their architecture, the optimisation of effective and efficient operations, big data and energy management, and resilience and adaptability to unexpected situations and events, to name a few. Aspects relevant to cyber-security and technology integration are of also great interest. Finally, models and methods from computer science (operations research, simulation, and artificial intelligence), control science (automation, human-machine systems, and industrial informatics), and electrical engineering, including electronics and embedded systems, must be integrated and articulated. This Special Issue aims to draw a picture of the current state-of-the-art relevant to this challenging field of research.

Prof. Dr. Damien Trentesaux
Prof. Dr. Smaïl Niar
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

  • cyber-physical systems 
  • energy-aware systems 
  • smart systems 
  • sustainable systems 
  • human-machine cooperation 
  • control theory 
  • automation 
  • industrial informatics 
  • artificial intelligence 
  • operations research 
  • simulation 
  • big-data 
  • embedded systems 
  • Internet of things 
  • applications: transportation, production/manufacturing, logistics/supply chains, smart building, smart grids

Published Papers (3 papers)

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Research

30 pages, 3727 KiB  
Article
Towards Energy Efficient Scheduling of Manufacturing Systems through Collaboration between Cyber Physical Production and Energy Systems
by Maroua Nouiri, Damien Trentesaux and Abdelghani Bekrar
Energies 2019, 12(23), 4448; https://doi.org/10.3390/en12234448 - 22 Nov 2019
Cited by 24 | Viewed by 3929
Abstract
Currently, enhancing sustainability, and in particular reducing energy consumption, is a huge challenge for manufacturing enterprises. The vision of the fourth industrial revolution (so-called “industry 4.0”) is not only to optimize production and minimize costs, but also to reduce energy consumption and enhance [...] Read more.
Currently, enhancing sustainability, and in particular reducing energy consumption, is a huge challenge for manufacturing enterprises. The vision of the fourth industrial revolution (so-called “industry 4.0”) is not only to optimize production and minimize costs, but also to reduce energy consumption and enhance product life-cycle management. To address this challenge, a multi-agent architecture aimed at elaborating predictive and reactive energy-efficient scheduling through collaboration between cyber physical production and energy systems is proposed in this paper. Smart, sustainable decision tools for cyber physical production systems (CPPS) and cyber physical energy systems (CPES) are proposed. The decision tools are data-driven, agent-based models with dynamic interaction. The main aim of agent behaviours in the cyber part of CPPS is to find a predictive and reactive energy-efficient schedule. The role of agents in CPES is to control the energy consumption of connected factories and switch between the different renewable energy sources. Dynamic mechanisms in CPPS and CPES are proposed to adjust the energy consumption of production systems based on the availability of the renewable energy. The proposed approach was validated on a physically distributed architecture using networked embedded systems and real-time data sharing from connected sensors in each cyber physical systems. A series of instances inspired from the literature were tested to assess the performance of the proposed method. The results prove the efficiency of the proposed approach in adapting the energy consumption of connected factories based on a real-time energy threshold. Full article
(This article belongs to the Special Issue Energy-Aware Cyber-Physical Systems)
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31 pages, 1760 KiB  
Article
ERIGrid Holistic Test Description for Validating Cyber-Physical Energy Systems
by Kai Heussen, Cornelius Steinbrink, Ibrahim F. Abdulhadi, Van Hoa Nguyen, Merkebu Z. Degefa, Julia Merino, Tue V. Jensen, Hao Guo, Oliver Gehrke, Daniel Esteban Morales Bondy, Davood Babazadeh, Filip Pröstl Andrén and Thomas I. Strasser
Energies 2019, 12(14), 2722; https://doi.org/10.3390/en12142722 - 16 Jul 2019
Cited by 22 | Viewed by 6305
Abstract
Smart energy solutions aim to modify and optimise the operation of existing energy infrastructure. Such cyber-physical technology must be mature before deployment to the actual infrastructure, and competitive solutions will have to be compliant to standards still under development. Achieving this technology readiness [...] Read more.
Smart energy solutions aim to modify and optimise the operation of existing energy infrastructure. Such cyber-physical technology must be mature before deployment to the actual infrastructure, and competitive solutions will have to be compliant to standards still under development. Achieving this technology readiness and harmonisation requires reproducible experiments and appropriately realistic testing environments. Such testbeds for multi-domain cyber-physical experiments are complex in and of themselves. This work addresses a method for the scoping and design of experiments where both testbed and solution each require detailed expertise. This empirical work first revisited present test description approaches, developed a newdescription method for cyber-physical energy systems testing, and matured it by means of user involvement. The new Holistic Test Description (HTD) method facilitates the conception, deconstruction and reproduction of complex experimental designs in the domains of cyber-physical energy systems. This work develops the background and motivation, offers a guideline and examples to the proposed approach, and summarises experience from three years of its application. Full article
(This article belongs to the Special Issue Energy-Aware Cyber-Physical Systems)
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19 pages, 988 KiB  
Article
Towards a Persuasive Recommender for Bike Sharing Systems: A Defeasible Argumentation Approach
by Carlos Diez, Javier Palanca, Victor Sanchez-Anguix, Stella Heras, Adriana Giret and Vicente Julián
Energies 2019, 12(4), 662; https://doi.org/10.3390/en12040662 - 19 Feb 2019
Cited by 8 | Viewed by 3282
Abstract
This work proposes a persuasion model based on argumentation theory and users’ characteristics for improving the use of resources in bike sharing systems, fostering the use of the bicycles and thus contributing to greater energy sustainability by reducing the use of carbon-based fuels. [...] Read more.
This work proposes a persuasion model based on argumentation theory and users’ characteristics for improving the use of resources in bike sharing systems, fostering the use of the bicycles and thus contributing to greater energy sustainability by reducing the use of carbon-based fuels. More specifically, it aims to achieve a balanced network of pick-up and drop-off stations in urban areas with the help of the users, thus reducing the dedicated management trucks that redistribute bikes among stations. The proposal aims to persuade users to choose different routes from the shortest route between a start and an end location. This persuasion is carried out when it is not possible to park the bike in the desired station due to the lack of parking slots, or when the user is highly influenceable. Differently to other works, instead of employing a single criteria to recommend alternative stations, the proposed system can incorporate a variety of criteria. This result is achieved by providing a defeasible logic-based persuasion engine that is capable of aggregating the results from multiple recommendation rules. The proposed framework is showcased with an example scenario of a bike sharing system. Full article
(This article belongs to the Special Issue Energy-Aware Cyber-Physical Systems)
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