Methodology for the Development of Virtual Representations within the Process Development Framework of Energy Plants: From Digital Model to Digital Predictive Twin—A Review
Digital reflections of physical energy plants can help support and optimize energy technologies within their lifecycle. So far, no framework for the evolution of virtual representations throughout the process development lifecycle exists. Based on various concepts of virtual representations in diffe...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-03-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/16/6/2641 |
| _version_ | 1797612095724847104 |
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| author | Martin Hammerschmid Daniel Cenk Rosenfeld Alexander Bartik Florian Benedikt Josef Fuchs Stefan Müller |
| author_facet | Martin Hammerschmid Daniel Cenk Rosenfeld Alexander Bartik Florian Benedikt Josef Fuchs Stefan Müller |
| author_sort | Martin Hammerschmid |
| collection | DOAJ |
| description | Digital reflections of physical energy plants can help support and optimize energy technologies within their lifecycle. So far, no framework for the evolution of virtual representations throughout the process development lifecycle exists. Based on various concepts of virtual representations in different industries, this review paper focuses on developing a novel virtual representation framework for the process development environment within the energy sector. The proposed methodology enables the continuous evolution of virtual representations along the process development lifecycle. A novel definition for virtual representations in the process development environment is developed. Additionally, the most important virtual representation challenges, properties, and applications for developing a widely applicable framework are summarized. The essential sustainability indicators for the energy sector are listed to standardize the process evaluation throughout the process development lifecycle. The virtual representation and physical facility development can be synchronized by introducing a novel model readiness level. All these thoughts are covered through the novel virtual representation framework. Finally, the digital twin of a Bio-SNG production route is presented, to show the benefits of the methodology through a use case. This methodology helps to accelerate and monitor energy technology developments through the early implementation of virtual representations. |
| first_indexed | 2024-03-11T06:36:35Z |
| format | Article |
| id | doaj.art-2f77bc4a066a49dda540fdea2bdec3b0 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-11T06:36:35Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-2f77bc4a066a49dda540fdea2bdec3b02023-11-17T10:48:56ZengMDPI AGEnergies1996-10732023-03-01166264110.3390/en16062641Methodology for the Development of Virtual Representations within the Process Development Framework of Energy Plants: From Digital Model to Digital Predictive Twin—A ReviewMartin Hammerschmid0Daniel Cenk Rosenfeld1Alexander Bartik2Florian Benedikt3Josef Fuchs4Stefan Müller5Institute of Chemical, Environmental and Bioscience Engineering, TU WIEN, Getreidemarkt 9/166, 1060 Vienna, AustriaInstitute of Chemical, Environmental and Bioscience Engineering, TU WIEN, Getreidemarkt 9/166, 1060 Vienna, AustriaInstitute of Chemical, Environmental and Bioscience Engineering, TU WIEN, Getreidemarkt 9/166, 1060 Vienna, AustriaInstitute of Chemical, Environmental and Bioscience Engineering, TU WIEN, Getreidemarkt 9/166, 1060 Vienna, AustriaInstitute of Chemical, Environmental and Bioscience Engineering, TU WIEN, Getreidemarkt 9/166, 1060 Vienna, AustriaInstitute of Chemical, Environmental and Bioscience Engineering, TU WIEN, Getreidemarkt 9/166, 1060 Vienna, AustriaDigital reflections of physical energy plants can help support and optimize energy technologies within their lifecycle. So far, no framework for the evolution of virtual representations throughout the process development lifecycle exists. Based on various concepts of virtual representations in different industries, this review paper focuses on developing a novel virtual representation framework for the process development environment within the energy sector. The proposed methodology enables the continuous evolution of virtual representations along the process development lifecycle. A novel definition for virtual representations in the process development environment is developed. Additionally, the most important virtual representation challenges, properties, and applications for developing a widely applicable framework are summarized. The essential sustainability indicators for the energy sector are listed to standardize the process evaluation throughout the process development lifecycle. The virtual representation and physical facility development can be synchronized by introducing a novel model readiness level. All these thoughts are covered through the novel virtual representation framework. Finally, the digital twin of a Bio-SNG production route is presented, to show the benefits of the methodology through a use case. This methodology helps to accelerate and monitor energy technology developments through the early implementation of virtual representations.https://www.mdpi.com/1996-1073/16/6/2641virtual representationdigital twinprocess simulationsustainabilityprocess development |
| spellingShingle | Martin Hammerschmid Daniel Cenk Rosenfeld Alexander Bartik Florian Benedikt Josef Fuchs Stefan Müller Methodology for the Development of Virtual Representations within the Process Development Framework of Energy Plants: From Digital Model to Digital Predictive Twin—A Review Energies virtual representation digital twin process simulation sustainability process development |
| title | Methodology for the Development of Virtual Representations within the Process Development Framework of Energy Plants: From Digital Model to Digital Predictive Twin—A Review |
| title_full | Methodology for the Development of Virtual Representations within the Process Development Framework of Energy Plants: From Digital Model to Digital Predictive Twin—A Review |
| title_fullStr | Methodology for the Development of Virtual Representations within the Process Development Framework of Energy Plants: From Digital Model to Digital Predictive Twin—A Review |
| title_full_unstemmed | Methodology for the Development of Virtual Representations within the Process Development Framework of Energy Plants: From Digital Model to Digital Predictive Twin—A Review |
| title_short | Methodology for the Development of Virtual Representations within the Process Development Framework of Energy Plants: From Digital Model to Digital Predictive Twin—A Review |
| title_sort | methodology for the development of virtual representations within the process development framework of energy plants from digital model to digital predictive twin a review |
| topic | virtual representation digital twin process simulation sustainability process development |
| url | https://www.mdpi.com/1996-1073/16/6/2641 |
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