Comparative analysis of photovoltaic modules center and edge temperature using IoT embedded system

Renata I. S. Pereira, Sandro C. S. Jucá, Paulo C. M. Carvalho and Luis M. Fernández-Ramírez

 

2019/07/15

Abstract

The main objective of this project is to develop and implement an Internet of Things (IoT) monitoring system to analyze the temperature at the center and at the edge of grid-connected photovoltaic (PV) modules at Maracanaú – CE, Brazil. The proposed IoT embedded system is based on free software and hardware using ESP 32 development board, allowing online distribution, free usage and communication with a server in the Cloud wirelessly via WiFi. The use of open source and cross-platform (Linux, Windows® and Mac OSX) allows greater interaction and accessibility to the user. A web page called Web Monitor was developed for online data consulting and for real-time monitoring of the PV temperature. Monitoring individual PV modules has the objective of providing data for the analysis of electricity generation efficiency and for fault detection in case of PV cells overheating. Meteorological data such as solar irradiance, ambient temperature, relative humidity and wind speed were also measured and monitored to allow a more complete analysis of the effect of these variables on the module temperature response. According to the results, the PV module edge temperature is 1.5 to 2ºC lower than the center temperature.

Published in: Renewable Energy & Power Quality Journal (RE&PQJ, Nº. 17)
Pages: 198-207 Date of Publication: 2019/07/15
ISSN: 2172-038X Date of Current Version:2019/04/10
REF: 261-19 Issue Date: July 2019
DOI:10.24084/repqj17.261 Publisher: EA4EPQ

 

Authors and affiliations

Renata I. S. Pereira1, Sandro C. S. Jucá2, Paulo C. M. Carvalho1 and Luis M. Fernández-Ramírez3
1. Department of Electrical Engineering. Federal University of Ceará (UFC). Pici Campus, Fortaleza, Ceará (Brazil)
2. Academic Master’s Program in Renewable Energy (PPGER). Federal Institute of Ceará (IFCE). Maracanaú Campus, Ceará (Brazil)
3. Research Group in Electrical Technologies for Sustainable and Renewable Energy (PAIDI-TEP-023). Department of Electrical Engineering, University of Cadiz (UCA). Escuela Politécnica Superior de Algeciras, (Spain)

Key words

Photovoltaic generation, temperature monitoring, IoT.

References

[1] R. I. S. Pereira, I. M. Dupont, P. C. M. Carvalho, and S. C. S. Jucá, “IoT embedded linux system based on Raspberry Pi applied to real-time cloud monitoring of a decentralized photovoltaic plant,” Meas. J., vol. 114, pp. 286–297, 2018.
[2] Espressif Systems, “ESP32 Datasheet,” p. 58, 2018.
[3] Espressif, “ESP8266EX Datasheet,” Espr. Syst. Datasheet, pp. 1–31, 2018.
[4] L. Zhu, A. Raman, K. X. Wang, M. A. Anoma, and S. Fan, “Radiative cooling of solar cells,” Optica, vol. 1, no. 1, pp. 32–38, 2014.
[5] JINKO SOLAR, “Jkm270Pp-60,” pp. 5–6, 2008.
[6] S. Dubey, J. N. Sarvaiya, and B. Seshadri, “Temperature dependent photovoltaic (PV) efficiency and its effect on PV production in the world - A review,” Energy Procedia, vol. 33, pp. 311–321, 2013.
[7] T. Simioni, “O impacto da temperatura para o aproveitamento do potencial solar fotovoltaico do Brasil,” 2017.
[8] E. Barykina and A. Hammer, “Modeling of photovoltaic module temperature using Faiman model: Sensitivity analysis for different climates,” Sol. Energy, vol. 146, pp. 401–416, 2017.
[9] J. A. Duffie and W. A. Beckman, Solar Engineering of Thermal Processes, 4th ed. 2013.
[10] R. G. Ross, “Interface design considerations for terrestrial solar cell modules,” in Proceedings of 12th IEEE photovoltaic specialists conference, 1976, pp. 801–6.
[11] R. Chenni, M. Makhlouf, T. Kerbache, and A. Bouzid, “A detailed modeling method for photovoltaic cells,” Energy, pp. 1724–30, 2007.
[12] B. D. O. Busson, P. Hassan, M. Campos, P. Cesar, and M. De Carvalho, “Validação de modelos de comportamento térmico de painéis fotovoltaicos para o semiárido brasileiro,” 2018.
[13] K. Ashton, “That ‘Internet of Things’ Thing,” RFiD J., p. 4986, 2009.
[14] J. Liu, Y. Li, M. Chen, W. Dong, and D. Jin, “Software-defined internet of things for smart urban sensing,” IEEE Communications Magazine, vol. 53, no. 9, pp. 55–63, 2015.
[15] S. Andreev et al., “Understanding the IoT connectivity landscape: a contemporary M2M radio technology roadmap,” IEEE Commun. Mag., vol. 69, no. 7, pp. 32–40, 2015.
[16] H. D. Mohammadian, “Internet of Energy: a solution for improving the efficiency of reversible energy,” in IEEE Global Engineering Education Conference (EDUCON), 2018, pp. 1890–1895.
[17] C. Rong, S. T. Nguyen, and M. G. Jaatun, “Beyond lightning: A survey on security challenges in cloud computing,” Comput. Electr. Eng., vol. 39, no. 1, pp. 47–54, 2013.
[18] H. E. Gad and H. E. Gad, “Development of a new temperature data acquisition system for solar energy applications,” Renew. Energy, vol. 74, pp. 337–343, 2015.
[19] F. J. Ferrero Martín, M. Valledor Llopis, J. C. Campo Rodríguez, J. R. Blanco González, and J. Menéndez Blanco, “Low-cost open-source multifunction data acquisition system for accurate measurements,” Meas. J. Int. Meas. Confed., vol. 55, pp. 265–271, 2014.
[20] N. Instruments, “LabVIEW,” 1986. [Online]. Available: http://www.ni.com/labview/. [Accessed: 24-Jan-2017].
[21] N. Erraissi, M. Raoufi, N. Aarich, M. Akhsassi, and A. Bennouna, “Implementation of a low-cost data acquisition system for ‘PROPRE.MA’ project,” Meas. J. Int. Meas. Confed., vol. 117, no. December 2017, pp. 21–40, 2018.
[22] D. Pasalic, D. Bundalo, Z. Bundalo, and B. Cvijic, “ZigBee-based data transmission and monitoring wireless smart sensor network integrated with the Internet,” 2015 4th Mediterr. Conf. Embed. Comput., pp. 240–243, 2015.
[23] R. I. S. Pereira, S. C. S. Jucá, and P. C. M. Carvalho, “IoT embedded systems network and sensors signal conditioning applied to decentralized photovoltaic plants,” Measurement, vol. 142, pp. 195–212, 2019.
[24] British Standard, “IEC 61724: 1998. Photovoltaic system performance monitoring — Guidelines for measurement, data exchange and analysis.” 1998.
[25] R. I. S. Pereira, S. C. S. Jucá, and P. C. M. de Carvalho, “Online Monitoring System for Electrical Microgeneration via Embedded WiFi Modem,” IEEE Lat. Am. Trans., vol. 14, no. 7, pp. 3124–3129, 2016.
[26] R. I. S. Pereira, P. C. M. Carvalho, and S. C. S. Jucá, “WiFi Data Acquisition System and online monitoring applied to thermoelectric microgeneration modules,” Renew. Energy Power Qual. J., no. 13, pp. 1–6, 2015.
[27] PHB, “INVERSOR SOLAR FOTOVOLTAICO PHB 1500-NS.” 2017.
[28] IEA, “Technology Roadmap, Solar Photovoltaic Energy,” Paris, 2014.
[29] A. D. S. Rabelo, D. A. C. Costa, P. C. M. de Carvalho, and Virgílio Peixoto Távora, “Estudo Sobre Sujidade Em Planta Fotovoltaica Localizada Em Zona Urbana,” in Congresso Brasileiro de Geração Distribuída, 2017, pp. 1–7.