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

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

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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

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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.",

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

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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

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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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T3 - 2023 IEEE Green Technologies Conference (GreenTech)

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PB - IEEE Computer Society

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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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