Design and experimental validation of an IoT data-logger device for indirect measurement of solar irradiance based on a correlation model

K. Alarcon-Maza, V. Herrera-Perez, J. Rodriguez-Flores, M. Pacheco-Cunduri, J. Hernandez-Ambato

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

The present work aimed to develop an autonomous instrument for indirectly measuring solar irradiance from silicon sensors. Through laboratory tests, using a precision digital solar power meter device (SM206-SOLAR), with an error range of ±10% per reading and ±0.38% W/m2 per °C, and photovoltaic trainer equipment (Lucas Nulle), a statistical correlation model was developed between the short-circuit current of the NPA5S-12H solar module and the measured artificial irradiance. A significant linear correlation was determined with a mean absolute percentage error (MAPE) of 6.97%, an average root-mean-square error (RMSE) of ±26 W/m2 per °C and a relative percentage root mean square error (rRMSE) of 10.76%. For real-time data collection purposes, a data-logger device with wireless communication functions based on a Wi-Fi link and IoT MQTT protocol was developed. Finally, a SQL server and web application were configured on a public Linux server to collect and present data in real-time.

Idioma originalInglés
Título de la publicación alojada2023 IEEE Green Technologies Conference, GreenTech 2023
EditorialIEEE Computer Society
Páginas40-45
Número de páginas6
ISBN (versión digital)9781665492874
DOI
EstadoPublicada - 2023
Evento15th Annual IEEE Green Technologies Conference, GreenTech 2023 - Denver, Estados Unidos
Duración: 19 abr. 202321 abr. 2023

Serie de la publicación

Nombre2023 IEEE Green Technologies Conference (GreenTech)

Conferencia

Conferencia15th Annual IEEE Green Technologies Conference, GreenTech 2023
País/TerritorioEstados Unidos
CiudadDenver
Período19/04/2321/04/23

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