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description Publicationkeyboard_double_arrow_right Article , Other literature type 2023 Italy, FrancePublisher:MDPI AG Funded by:EC | EnerManEC| EnerManPeter Hehenberger; Dominik Leherbauer; Olivia Penas; Romain Delabeye; Stanislao Patalano; Ferdinando Vitolo; Andrea Rega; Panayiotis Alefragis; Michael Birbas; Alexios Birbas; Panagiotis Katrakazas;handle: 11588/912924
Optimizing and predicting the energy consumption of industrial manufacturing can increase its cost efficiency. The interaction of different aspects and components is necessary. An overarching framework is currently still missing, and establishing such is the central research approach in this paper. This paper provides an overview of the current demands on the manufacturing industry from the perspective of digitalization and sustainability. On the basis of the developed fundamentals and parameters, a superordinate framework is proposed that allows the modelling and simulation of energy-specific properties on several product and process levels. A detailed description of the individual methods concludes this work and demonstrates their application potential in an industrial context. As a result, this integrated conceptual framework offers the possibility of optimizing the production system, in relation to different energy flexibility criteria.
Systems arrow_drop_down SystemsOther literature type . 2023License: CC BYFull-Text: http://www.mdpi.com/2079-8954/11/2/100/pdfData sources: Multidisciplinary Digital Publishing InstituteSystemsArticleLicense: CC BYFull-Text: https://www.mdpi.com/2079-8954/11/2/100/pdfData sources: Sygmaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/systems11020100&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 3 citations 3 popularity Top 10% influence Average impulse Average Powered by BIP!
more_vert Systems arrow_drop_down SystemsOther literature type . 2023License: CC BYFull-Text: http://www.mdpi.com/2079-8954/11/2/100/pdfData sources: Multidisciplinary Digital Publishing InstituteSystemsArticleLicense: CC BYFull-Text: https://www.mdpi.com/2079-8954/11/2/100/pdfData sources: Sygmaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/systems11020100&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu
description Publicationkeyboard_double_arrow_right Article , Other literature type 2023 Italy, FrancePublisher:MDPI AG Funded by:EC | EnerManEC| EnerManPeter Hehenberger; Dominik Leherbauer; Olivia Penas; Romain Delabeye; Stanislao Patalano; Ferdinando Vitolo; Andrea Rega; Panayiotis Alefragis; Michael Birbas; Alexios Birbas; Panagiotis Katrakazas;handle: 11588/912924
Optimizing and predicting the energy consumption of industrial manufacturing can increase its cost efficiency. The interaction of different aspects and components is necessary. An overarching framework is currently still missing, and establishing such is the central research approach in this paper. This paper provides an overview of the current demands on the manufacturing industry from the perspective of digitalization and sustainability. On the basis of the developed fundamentals and parameters, a superordinate framework is proposed that allows the modelling and simulation of energy-specific properties on several product and process levels. A detailed description of the individual methods concludes this work and demonstrates their application potential in an industrial context. As a result, this integrated conceptual framework offers the possibility of optimizing the production system, in relation to different energy flexibility criteria.
Systems arrow_drop_down SystemsOther literature type . 2023License: CC BYFull-Text: http://www.mdpi.com/2079-8954/11/2/100/pdfData sources: Multidisciplinary Digital Publishing InstituteSystemsArticleLicense: CC BYFull-Text: https://www.mdpi.com/2079-8954/11/2/100/pdfData sources: Sygmaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/systems11020100&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 3 citations 3 popularity Top 10% influence Average impulse Average Powered by BIP!
more_vert Systems arrow_drop_down SystemsOther literature type . 2023License: CC BYFull-Text: http://www.mdpi.com/2079-8954/11/2/100/pdfData sources: Multidisciplinary Digital Publishing InstituteSystemsArticleLicense: CC BYFull-Text: https://www.mdpi.com/2079-8954/11/2/100/pdfData sources: Sygmaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/systems11020100&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu