Methodology for the Development of Virtual Representations within the Process Development Framework of Energy Plants: From Digital Model to Digital Predictive Twin—A Review

Martin Hammerschmid (), Daniel Cenk Rosenfeld, Alexander Bartik, Florian Benedikt, Josef Fuchs and Stefan Müller
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Martin Hammerschmid: Institute of Chemical, Environmental and Bioscience Engineering, TU WIEN, Getreidemarkt 9/166, 1060 Vienna, Austria
Daniel Cenk Rosenfeld: Institute of Chemical, Environmental and Bioscience Engineering, TU WIEN, Getreidemarkt 9/166, 1060 Vienna, Austria
Alexander Bartik: Institute of Chemical, Environmental and Bioscience Engineering, TU WIEN, Getreidemarkt 9/166, 1060 Vienna, Austria
Florian Benedikt: Institute of Chemical, Environmental and Bioscience Engineering, TU WIEN, Getreidemarkt 9/166, 1060 Vienna, Austria
Josef Fuchs: Institute of Chemical, Environmental and Bioscience Engineering, TU WIEN, Getreidemarkt 9/166, 1060 Vienna, Austria
Stefan Müller: Institute of Chemical, Environmental and Bioscience Engineering, TU WIEN, Getreidemarkt 9/166, 1060 Vienna, Austria

Energies, 2023, vol. 16, issue 6, 1-30

Abstract: 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.

Keywords: virtual representation; digital twin; process simulation; sustainability; process development (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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