2026-05-30T09:37:11Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/72702024-05-14T10:39:48Zcom_10259_6231com_10259_4266com_10259.4_106com_10259_2604com_10259_4393com_10259_5086col_10259_6232col_10259_4394

Guillán Lorenzo, Omar Suárez García, Andrés González Peña, David García Fuente, Manuel Granados López, Diego 2023-01-18T13:41:43Z 2023-01-18T13:41:43Z 2022-09 http://hdl.handle.net/10259/7270 10.3390/s22197107 1424-8220 Natural 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. The 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). application/pdf eng MDPI Sensors. 2022, V. 22, n. 19, 7107 https://doi.org/10.3390/s22197107 info: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/ info: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/ info: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/ Atribución 4.0 Internacional http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess Internet of Things (IoT) Luxometer Natural illumination Low-cost sensor Electrotecnia Electrical engineering A Low-Cost Luxometer Benchmark for Solar Illuminance Measurement System Based on the Internet of Things info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Sensors 22 19