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

doi:10.1109/GreenTech56823.2023.10173825

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

^*Autor correspondiente de este trabajo

Independient Researcher
Universidad Regional Autónoma de los Andes
Escuela Superior Politécnica de Chimborazo

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

1 Cita (Scopus)

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 original	Inglés
Título de la publicación alojada	2023 IEEE Green Technologies Conference, GreenTech 2023
Editorial	IEEE Computer Society
Páginas	40-45
Número de páginas	6
ISBN (versión digital)	9781665492874
DOI	https://doi.org/10.1109/GreenTech56823.2023.10173825
Estado	Publicada - 2023
Evento	15th Annual IEEE Green Technologies Conference, GreenTech 2023 - Denver, Estados Unidos Duración: 19 abr 2023 → 21 abr 2023

Serie de la publicación

Nombre	2023 IEEE Green Technologies Conference (GreenTech)

Conferencia

Conferencia	15th Annual IEEE Green Technologies Conference, GreenTech 2023
País/Territorio	Estados Unidos
Ciudad	Denver
Período	19/04/23 → 21/04/23

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 7: Energía asequible y no contaminante

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10.1109/GreenTech56823.2023.10173825

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Alarcon-Maza, K., Herrera-Perez, V., Rodriguez-Flores, J., Pacheco-Cunduri, M., & Hernandez-Ambato, J. (2023). Design and experimental validation of an IoT data-logger device for indirect measurement of solar irradiance based on a correlation model. En 2023 IEEE Green Technologies Conference, GreenTech 2023 (pp. 40-45). (2023 IEEE Green Technologies Conference (GreenTech)). IEEE Computer Society. https://doi.org/10.1109/GreenTech56823.2023.10173825

@inproceedings{920dd067bf2e4e528f296b646bb8926e,

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

abstract = "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.",

keywords = "PV data-logger, correlational model, solar cells, solar irradiance estimation",

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

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 15th Annual IEEE Green Technologies Conference, GreenTech 2023 ; Conference date: 19-04-2023 Through 21-04-2023",

year = "2023",

doi = "10.1109/GreenTech56823.2023.10173825",

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Alarcon-Maza, K, Herrera-Perez, V, Rodriguez-Flores, J, Pacheco-Cunduri, M & Hernandez-Ambato, J 2023, Design and experimental validation of an IoT data-logger device for indirect measurement of solar irradiance based on a correlation model. En 2023 IEEE Green Technologies Conference, GreenTech 2023. 2023 IEEE Green Technologies Conference (GreenTech), IEEE Computer Society, pp. 40-45, 15th Annual IEEE Green Technologies Conference, GreenTech 2023, Denver, Estados Unidos, 19/04/23. https://doi.org/10.1109/GreenTech56823.2023.10173825

Design and experimental validation of an IoT data-logger device for indirect measurement of solar irradiance based on a correlation model. / Alarcon-Maza, K.; Herrera-Perez, V.; Rodriguez-Flores, J. et al.
2023 IEEE Green Technologies Conference, GreenTech 2023. IEEE Computer Society, 2023. p. 40-45 (2023 IEEE Green Technologies Conference (GreenTech)).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

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AU - Alarcon-Maza, K.

AU - Herrera-Perez, V.

AU - Rodriguez-Flores, J.

AU - Pacheco-Cunduri, M.

AU - Hernandez-Ambato, J.

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

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KW - correlational model

KW - solar cells

KW - solar irradiance estimation

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M3 - Contribución a la conferencia

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T3 - 2023 IEEE Green Technologies Conference (GreenTech)

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EP - 45

BT - 2023 IEEE Green Technologies Conference, GreenTech 2023

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Y2 - 19 April 2023 through 21 April 2023

ER -

Alarcon-Maza K, Herrera-Perez V, Rodriguez-Flores J, Pacheco-Cunduri M, Hernandez-Ambato J. Design and experimental validation of an IoT data-logger device for indirect measurement of solar irradiance based on a correlation model. En 2023 IEEE Green Technologies Conference, GreenTech 2023. IEEE Computer Society. 2023. p. 40-45. (2023 IEEE Green Technologies Conference (GreenTech)). doi: 10.1109/GreenTech56823.2023.10173825

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

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