Publication
Digital twin based what-if simulation for energy management
| dc.contributor.author | Pires, Flávia | |
| dc.contributor.author | Ahmad, Bilal | |
| dc.contributor.author | Moreira, António Paulo G. M. | |
| dc.contributor.author | Leitão, Paulo | |
| dc.date.accessioned | 2023-02-15T16:40:08Z | |
| dc.date.available | 2023-02-15T16:40:08Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | The manufacturing sector is one of the largest energy consumers in the industrial world, being the energy consumption by the shop-floor equipment, e.g., robots, machines and AGVs (Autonomous Guided Vehicles), a major issue. The combination of energy-efficient technologies with intelligent and digital technologies can reduce energy consumption. The application of the digital twin concept in the energy efficiency field is a promising research topic, taking advantage of the Industry 4.0 technological developments. This paper presents a digital twin architecture for energy optimisation in manufacturing systems, particularly based on a what-if simulation model. The applicability of the proposed what-if simulation model within the digital twin is presented to promote the efficient energy management of AGVs in a battery pack assembly line case study. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Pires, Flavia; Ahmad, Bilal; Moreira, Antonio Paulo; Leitão, Paulo (2021). In 4th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS). Virtual, Online. p. 309 - 314 | pt_PT |
| dc.identifier.doi | 10.1109/ICPS49255.2021.9468224 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10198/26960 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | IEEE | pt_PT |
| dc.relation | Research Centre in Digitalization and Intelligent Robotics | |
| dc.relation | An Intelligent Decision Support Approach for Industrial Digital Twin | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Digital twin | pt_PT |
| dc.subject | What-if simulation | pt_PT |
| dc.subject | Energy efficiency | pt_PT |
| dc.title | Digital twin based what-if simulation for energy management | pt_PT |
| dc.type | conference paper | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Research Centre in Digitalization and Intelligent Robotics | |
| oaire.awardTitle | An Intelligent Decision Support Approach for Industrial Digital Twin | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/POR_NORTE/SFRH%2FBD%2F143243%2F2019/PT | |
| oaire.citation.conferencePlace | Virtual, Online | pt_PT |
| oaire.citation.endPage | 314 | pt_PT |
| oaire.citation.startPage | 309 | pt_PT |
| oaire.citation.title | 2021 4th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS) | pt_PT |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | POR_NORTE | |
| person.familyName | Pires | |
| person.familyName | Leitão | |
| person.givenName | Flávia | |
| person.givenName | Paulo | |
| person.identifier | https://scholar.google.pt/citations?user=an9quSsAAAAJ&hl=pt-PT | |
| person.identifier | A-8390-2011 | |
| person.identifier.ciencia-id | A119-72AB-6255 | |
| person.identifier.ciencia-id | 8316-8F13-DA71 | |
| person.identifier.orcid | 0000-0001-7899-3020 | |
| person.identifier.orcid | 0000-0002-2151-7944 | |
| person.identifier.scopus-author-id | 57200412919 | |
| person.identifier.scopus-author-id | 35584388900 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
| relation.isAuthorOfPublication | 3ac8f73e-ecb2-44b6-9c6f-1ee99474e00f | |
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