Special Issue "Digital Mockup and 3D Visualization Application in Energy Systems"

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "J: State-of-the-Art Energy Related Technologies".

Deadline for manuscript submissions: 21 March 2022.

Special Issue Editor

Dr. Jean-Rémy Chardonnet
E-Mail Website
Guest Editor
Arts et Métiers Institute of Technology, LISPEN, HESAM Université, 2 rue Thomas Dumorey, 71100 Chalon-sur-Saône, France
Interests: virtual reality; human–machine interaction; immersive visualization; immersive collaboration; human factors

Special Issue Information

Dear Colleagues,

Energy systems are becoming increasingly complex, whether in terms of design, operation, or maintenance, in order to provide end users with the best energy performance while ensuring maximum reliability, safety, and sustainability. In addition to these constraints, an important issue relates to cost, which must be controlled both on the side of the energy system suppliers and on the side of owners–operators. To fulfill all of these constraints, digital tools, and in particular digital mockups and mixed reality technologies, represent a formidable asset, enabling control over the entire value chain of these systems. Digital tools represent an integral part of the energy transition. However, major issues still exist related to the availability and the representability of data, and the intuitiveness and efficiency of interfaces and interactions paradigms. Therefore, we invite contributions to this Special Issue of Energies on “Digital Mockup and 3D Visualization Application in Energy Systems”.

This Special Issue aims to publish the latest cutting-edge technological and scientific advances and challenges and new methodologies related to the use of digital tools at all stages of the life cycle of an energy system. In addition to the technical and technological aspects of digital tools, it also aims to bring to the fore how these technologies impact the designers and operators of these systems, in terms not only of benefits but also of research and technological perspectives on the improvement of digital technologies through human-centered intelligence. We invite original articles of very high scientific quality focused on but not limited to the following topics:

  • virtual design of energy systems
  • virtual maintenance of energy systems
  • digital twins of energy systems
  • virtual training and user performance
  • collaborative and concurrent engineering
  • user-and-context-adapted 3D visualization and analysis of complex data
  • adaptive mixed reality interaction
  • effects of immersive technologies (virtual, augmented, mixed reality) on users for the design, operation, and maintenance of energy systems
  • industrial use-cases of immersive technologies usage with CAD and PLM

Applications may cover any field related to energy systems, the development of new means of energy production, the planification of means of energy production and supply in a socio-geographical setting, energy saving strategies, etc. We encourage academic and industrial researchers to present their latest findings on the use of digital mockups and immersive technologies and associated applications to provide readers with an exhaustive and rigorous overview of the latest research and technological developments.

Dr. Jean-Rémy Chardonnet
Guest Editor

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 2000 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

  • digital mockup
  • digital twin
  • 3D visualization
  • virtual, augmented, mixed reality
  • virtual prototyping
  • virtual maintenance
  • adaptive human–machine interaction
  • collaborative engineering
  • concurrent engineering

Published Papers (1 paper)

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Research

Article
Accurate Demand Forecasting: A Flexible and Balanced Electric Power Production Big Data Virtualization Based on Photovoltaic Power Plant
Energies 2021, 14(21), 6915; https://doi.org/10.3390/en14216915 - 21 Oct 2021
Viewed by 357
Abstract
This paper has tried to execute accurate demand forecasting by utilizing big data visualization and proposes a flexible and balanced electric power production big data virtualization based on a photovoltaic power plant. First of all, this paper has tried to align electricity demand [...] Read more.
This paper has tried to execute accurate demand forecasting by utilizing big data visualization and proposes a flexible and balanced electric power production big data virtualization based on a photovoltaic power plant. First of all, this paper has tried to align electricity demand and supply as much as possible using big data. Second, by using big data to predict the supply of new renewable energy, an attempt was made to incorporate new and renewable energy into the current power supply system and to recommend an efficient energy distribution method. The first presented problem that had to be solved was the improvement in the accuracy of the existing electricity demand for forecasting models. This was explained through the relationship between the power demand and the number of specific words in the paper that use crawling by utilizing big data. The next problem arose because the current electricity production and supply system stores the amount of new renewable energy by changing the form of energy that is produced through ESS or that is pumped through water power generation without taking the amount of new renewable energy that is generated from sources such as thermal power, nuclear power, and hydropower into consideration. This occurs due to the difficulty of predicting power production using new renewable energy and the absence of a prediction system, which is a problem due to the inefficiency of changing energy types. Therefore, using game theory, the theoretical foundation of a power demand forecasting model based on big data-based renewable energy production forecasting was prepared. Full article
(This article belongs to the Special Issue Digital Mockup and 3D Visualization Application in Energy Systems)
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