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dc.contributor.authorMartín Garín, Alexander
dc.contributor.authorMillán García, José Antonio
dc.contributor.authorBaïri, A.
dc.contributor.authorGabilondo, M.
dc.contributor.authorRodríguez Sáiz, Ángel
dc.date.accessioned2026-07-01T08:04:17Z
dc.date.available2026-07-01T08:04:17Z
dc.date.issued2020
dc.identifier.citationMartín Garín, A., Millán García, J. A., Baïri, A., Gabilondo, M., y Rodríguez Sáiz, Á. (2020). IoT and cloud computing for building energy efficiency. En Start-Up Creation 2nd Edition The Smart Eco-efficient Built Environment (pp. 235–265). Elsevier. https://doi.org/10.1016/B978-0-12-819946-6.00010-2es
dc.identifier.isbn9780128199466
dc.identifier.isbn9780128199473
dc.identifier.urihttp://hdl.handle.net/20.500.12251/6474
dc.description.abstractImproving the energy efficiency of buildings is one of the pressing problems that society faces. On the other hand, the acquisition of real-time data of the variables that affect energy consumption is another challenge in the building sector. The high cost of this type of devices, the dearth of instrumentation for the measurement of specific variables, and the lack of interoperability between them represent important barriers that limit the mass deployment of monitoring systems for the improvement of energy efficiency. This chapter deals with the implementation in a case study of a cost-effective, low-power, and long-range Internet of things (IoT) device for real-time monitoring. Due to the great impact that air leakages have on buildings energy demand, this variable has been taken as object of monitoring. To bridge the gap, an Arduino MKR FOX 1200-based device has been developed, which uses the low-power wide-area network Sigfox technology and the SDP810 differential pressure sensor. Then, the monitored data are gathered in the cloud via Google Spreadsheets and shown through an implemented dashboard with Data Studio. This research has shown that the development of open source–based devices supported by IoT technologies fits monitoring requirements in buildings. Energy efficiency of buildings has been the main aim of this work; nevertheless, the presented methodology could be scaled for multiple fields with smart requirements such as agriculture, mobility, healthcare, or safety management. © 2020 Elsevier Ltd. All rights reserved.es
dc.language.isoenges
dc.publisherElsevieres
dc.relation.ispartofStart-Up Creation 2nd Edition The Smart Eco-efficient Built Environmentes
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleIoT and cloud computing for building energy efficiencyes
dc.typebookPart
dc.identifier.doi10.1016/B978-0-12-819946-6.00010-2
dc.identifier.urlhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85102614675&doi=10.1016%2fB978-0-12-819946-6.00010-2&partnerID=40&md5=493aea3be371e836b0d73ea0053368bb
dc.page.initial235es
dc.page.final265es
dc.rights.accessRightsopenAccesses
dc.subject.keywordInternet de las cosases
dc.subject.keywordCloud Computinges
dc.subject.keywordEficiencia energéticaes
dc.subject.keywordMonitorización de edificioses
dc.subject.keywordDemanda energéticaes
dc.subject.unesco1203.18 Sistemas de Inform., Diseño Componenteses
dc.subject.unesco3305.90 Transmisión de Calor en la Edificaciónes
dc.subject.unesco3308 Ingeniería y Tecnología del Medio Ambientees
dc.subject.unesco5312.03 Construcciónes


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