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dc.contributorUniversitat Ramon Llull. La Salle
dc.contributor.authorZaballos Diego, Agustín
dc.contributor.authorBriones Delgado, Alan
dc.contributor.authorMassa, Alba
dc.contributor.authorCentelles Perxés, Pol
dc.contributor.authorCaballero Codina, Víctor
dc.date.accessioned2021-05-07T08:57:33Z
dc.date.accessioned2023-10-02T06:41:55Z
dc.date.available2021-05-07T08:57:33Z
dc.date.available2023-10-02T06:41:55Z
dc.date.created2020-09
dc.date.issued2020-11
dc.identifier.urihttp://hdl.handle.net/20.500.14342/3418
dc.description.abstractInterdisciplinary cross-cultural and cross-organizational research offers great opportunities for innovative breakthroughs in the field of smart cities, yet it also presents organizational and knowledge development hurdles. Smart cities must be large towns able to sustain the needs of their citizens while promoting environmental sustainability. Smart cities foment the widespread use of novel information and communication technologies (ICTs); however, experimenting with these technologies in such a large geographical area is unfeasible. Consequently, smart campuses (SCs), which are universities where technological devices and applications create new experiences or services and facilitate operational efficiency, allow experimentation on a smaller scale, the concept of SCs as a testbed for a smart city is gaining momentum in the research community. Nevertheless, while universities acknowledge the academic role of a smart and sustainable approach to higher education, campus life and other student activities remain a mystery, which have never been universally solved. This paper proposes a SC concept to investigate the integration of building information modeling tools with Internet of Things- (IoT)-based wireless sensor networks in the fields of environmental monitoring and emotion detection to provide insights into the level of comfort. Additionally, it explores the ability of universities to contribute to local sustainability projects by sharing knowledge and experience across a multi-disciplinary team. Preliminary results highlight the significance of monitoring workspaces because productivity has been proven to be directly influenced by environment parameters. The comfort-monitoring infrastructure could also be reused to monitor physical parameters from educational premises to increase energy efficiency.eng
dc.format.extent33 p.cat
dc.language.isoengcat
dc.publisherMDPIcat
dc.relation.ispartofSustainability, 2020, Vol. 12, No. 21cat
dc.rightsAttribution 4.0 International
dc.rights© L'autor/a
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceRECERCAT (Dipòsit de la Recerca de Catalunya)
dc.subject.otherInternet de les cosescat
dc.subject.otherCiutats digitals (Xarxes d'ordinadors)cat
dc.subject.otherEnsenyament universitari -- Innovacions tecnològiquescat
dc.titleA Smart Campus’ Digital Twin for Sustainable Comfort Monitoringcat
dc.typeinfo:eu-repo/semantics/articlecat
dc.typeinfo:eu-repo/semantics/publishedVersioncat
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapcat
dc.subject.udc004
dc.subject.udc378
dc.subject.udc62
dc.identifier.doihttps://doi.org/10.3390/su12219196cat
dc.relation.projectIDinfo:eu-repo/grantAgreement/SUR del DEC/SGR/2017-SGR-977cat


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Attribution 4.0 International
Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by/4.0/
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