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dc.contributor.authorGuillán Lorenzo, Omar
dc.contributor.authorSuárez García, Andrés 
dc.contributor.authorGonzález Peña, David 
dc.contributor.authorGarcía Fuente, Manuel 
dc.contributor.authorGranados López, Diego 
dc.date.accessioned2023-01-18T13:41:43Z
dc.date.available2023-01-18T13:41:43Z
dc.date.issued2022-09
dc.identifier.urihttp://hdl.handle.net/10259/7270
dc.description.abstractNatural illumination has an important place in home automation applications. Among other advantages, it contributes to better visual health, energy savings, and lower CO2 emissions. Therefore, it is important to measure illuminance in the most accurate and cost-effective way. This work compares several low-cost commercial sensors (VEML 7700, TSL2591, and OPT3001) with a professional one (ML-020S-O), all of them installed outdoors. In addition, a platform based on the Internet of Things technology was designed and deployed as a centralized point of data collection and processing. Summer months have been chosen for the comparison. This is the most adverse situation for low-cost sensors since they are designed for indoor use, and their operating range is lower than the maximum reached by sunlight. The solar illuminance was recorded every minute. As expected, the obtained bias depends on the solar height. This can reach 60% in the worst circumstances, although most of the time, its value stays below 40%. The positive side lies in the good precision of the recordings. This systematic deviation makes it susceptible to mathematical correction. Therefore, the incorporation of more sensors and data that can help the global improvement of the precision and accuracy of this low-cost system is left as a future line of improvement.en
dc.description.sponsorshipThe authors gratefully acknowledge the financial support provided by the Spanish Ministry of Science & Innovation under the I+D+i state program “Challenges Research Projects” (RTI2018-098900-B-I00) and the Regional Government of Castilla y León (IN-VESTUN/19/BU/004 and INVESTUN/22/BU/0001). Diego Granados López also thankfully acknowledges the financial support from the Junta de Castilla-León (ORDEN EDU/556/2019).en
dc.format.mimetypeapplication/pdf
dc.language.isoenges
dc.publisherMDPIes
dc.relation.ispartofSensors. 2022, V. 22, n. 19, 7107es
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectInternet of Things (IoT)en
dc.subjectLuxometeren
dc.subjectNatural illuminationen
dc.subjectLow-cost sensoren
dc.subject.otherIngeniería eléctricaes
dc.subject.otherElectric engineeringen
dc.titleA Low-Cost Luxometer Benchmark for Solar Illuminance Measurement System Based on the Internet of Thingsen
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.relation.publisherversionhttps://doi.org/10.3390/s22197107es
dc.identifier.doi10.3390/s22197107
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-098900-B-I00/ES/ANALISIS ESPECTRAL DE LA RADIACION SOLAR: APLICACIONES CLIMATICAS, ENERGETICAS Y BIOLOGICAS/es
dc.relation.projectIDinfo:eu-repo/grantAgreement/Junta de Castilla y León//INVESTUN%2F19%2FBU%2F0004//Valoración técnica de los niveles de exposición a radiación solar en trabajos de exterior: identificación de grupos de riesgo y medidas de prevención/es
dc.relation.projectIDinfo:eu-repo/grantAgreement/Junta de Castilla y León//INVESTUN%2F22%2FBU%2F0001//Valoración técnica de los niveles óptimos de Iluminación efectiva para la salud visual y psicológica en entornos laborales/es
dc.identifier.essn1424-8220
dc.journal.titleSensorsen
dc.volume.number22es
dc.issue.number19es
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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