Thermal Twin 4.0: Digital Support Tool for Optimizing Hazardous Waste Rotary Kiln Incineration Plants

Hammerschmid, Martin; Aguiari, C.; Kirnbauer, F.; Zerobin, E.; Brenner, M.; Eisl, R.; Nemeth, J.; Buchberger, D.; Ogris, G.; Kolroser, R.; Goia, A.; Beyweiss, R.; Kalch, K.; Müller, Stefan; Hofbauer, Hermann

doi:10.1007/s12649-022-02028-w

Cited by 1 publication

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“…The results from the model predictive control unit are predictions for several manipulated variables to reach user-defined target values, which can be also defined within the web-application by the operator. Finally, the validated results from the model predictive control unit in the form of modifications of manipulated variables are returned to the control system to realize a fully automated closed-loop system [121][122][123].…”

Section: Virtual Representation Framework In the Process Development ...mentioning

confidence: 99%

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

et al. 2023

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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.

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Section: Virtual Representation Framework In the Process Development ...mentioning

confidence: 99%

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

et al. 2023

Self Cite

View full text Add to dashboard Cite

show abstract

Thermal Twin 4.0: Digital Support Tool for Optimizing Hazardous Waste Rotary Kiln Incineration Plants

Cited by 1 publication

References 29 publications

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

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

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