Çatı Tipi Güneş Enerji Sisteminde Kızılötesi Termal Teşhis ile Arıza Tespiti ve Önemi

Hale Bakır

doi:10.47495/okufbed.1110950

Research Article

Fault Detection and Importance of Infrared Thermal Diagnostics in Rooftop Solar Energy System

Year 2023, Volume: 6 Issue: 1, 90 - 105, 10.03.2023

Hale Bakır

https://doi.org/10.47495/okufbed.1110950

Abstract

The main purpose of this study is to see the failure types in Turkey and to inform investors and businesses about the improvements in energy production in photovoltaic power plants with better and faster analysis. It presents a discussion of the consequences of faults detected in field areas with infrared thermal diagnostics and thermal image processing. It includes real-time field measurement results of the Solar power plant established in Turkey. A sustainable renewable energy source is important as developing countries like Turkey will need more energy over the years. Therefore, better performance enhancements and improvements are provided in power generation in photovoltaic power plants using thermal imaging. In the 600 kW solar energy system in Turkey, malfunctions were detected, the causes and types of malfunctions were analyzed. According to the measurement tests, the connection errors in the 600 kW solar energy system in the results obtained with the thermal drone cause the panels to not work. It is seen that the connection error affects the system significantly and has an important efficiency in terms of production. When the technical connection error in the field was resolved, an improvement of 0.16 % was achieved in energy production.

Keywords

Infrared thermal diagnostics, Fault detection, Improvement in power generation, Sustainable energy

References

AbdulMawjood, K., Refaat, S. S., & Morsi, W. G. (2018, 10-12 April 2018). Detection and prediction of faults in photovoltaic arrays: A review. Paper presented at the 2018 IEEE 12th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG 2018).
Bastidas Rodríguez, J. D., Petrone, G., Ramos-Paja, C. A., & Spagnuolo, G. (2013). Photovoltaic modules diagnostic: An overview. IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society, 96-101.
Bonsignore, L., Davarifar, M., Rabhi, A., Tina, G. M., & Elhajjaji, A. (2014). Neuro-Fuzzy Fault Detection Method for Photovoltaic Systems. Energy Procedia, 62, 431-441. doi:https://doi.org/10.1016/j.egypro.2014.12.405
Daliento, S., Chouder, A., Guerriero, P., Pavan, A. M., Mellit, A., Moeini, R., & Tricoli, P. (2017). Monitoring, Diagnosis, and Power Forecasting for Photovoltaic Fields: A Review. International Journal of Photoenergy, 2017, 1356851. doi:10.1155/2017/1356851
Henry, C., Poudel, S., Lee, S.-W., & Jeong, H. (2020). Automatic Detection System of Deteriorated PV Modules Using Drone with Thermal Camera. Applied Sciences, 10(11). doi:10.3390/app10113802
Jeon, H. (2020). THERMAL IMAGE ANALYSIS FOR FAULT DETECTION AND DIAGNOSIS OF PV SYSTEMS. Purdue University Graduate School, Retrieved from https://hammer.purdue.edu/articles/thesis/THERMAL_IMAGE_ANALYSIS_FOR_FAULT_DETECTION_AND_DIAGNOSIS_OF_PV_SYSTEMS/12198432
Libra, M., Daneček, M., Lešetický, J., Poulek, V., Sedláček, J., & Beránek, V. (2019). Monitoring of Defects of a Photovoltaic Power Plant Using a Drone. Energies, 12(5). doi:10.3390/en12050795
Madeti, S. R., & Singh, S. N. (2017). Monitoring system for photovoltaic plants: A review. Renewable and Sustainable Energy Reviews, 67, 1180-1207. doi:https://doi.org/10.1016/j.rser.2016.09.088
Maghami, M. R., Hizam, H., Gomes, C., Radzi, M. A., Rezadad, M. I., & Hajighorbani, S. (2016). Power loss due to soiling on solar panel: A review. Renewable and Sustainable Energy Reviews, 59, 1307-1316. doi:https://doi.org/10.1016/j.rser.2016.01.044
Masmoudi, F., Salem, F. B., & Derbel, N. (2016). Single and double diode models for conventional mono-crystalline solar cell with extraction of internal parameters. 2016 13th International Multi-Conference on Systems, Signals & Devices (SSD), 720-728.
Munoz, M. A., Alonso-García, M. C., Vela, N., & Chenlo, F. (2011). Early degradation of silicon PV modules and guaranty conditions. Solar Energy, 85(9), 2264-2274. doi:https://doi.org/10.1016/j.solener.2011.06.011
Segovia Ramírez, I., Das, B., & García Márquez, F. P. (2022). Fault detection and diagnosis in photovoltaic panels by radiometric sensors embedded in unmanned aerial vehicles. Progress in Photovoltaics: Research and Applications, 30(3), 240-256. doi:https://doi.org/10.1002/pip.3479
Singh, G. K. (2013). Solar power generation by PV (photovoltaic) technology: A review. Energy, 53, 1-13. doi:https://doi.org/10.1016/j.energy.2013.02.057
Takashima, T., Otani, K., Sakuta, K., Yamada, T., Igarashi, T., Hasegawa, K., . . . Yamaguchi, T. (2003). Electrical detection and specification of failed modules in PV array. 3rd World Conference onPhotovoltaic Energy Conversion, 2003. Proceedings of, 3, 2276-2279 Vol.2273.
Takashima, T., Yamaguchi, J., Otani, K., Kato, K., & Ishida, M. (2006, 7-12 May 2006). Experimental Studies of Failure Detection Methods in PV Module Strings. Paper presented at the 2006 IEEE 4th World Conference on Photovoltaic Energy Conference.
Zefri, Y., ElKettani, A., Sebari, I., & Ait Lamallam, S. (2018). Thermal Infrared and Visual Inspection of Photovoltaic Installations by UAV Photogrammetry—Application Case: Morocco. Drones, 2(4). doi:10.3390/drones2040041
Zhao, Y., Lehman, B., Ball, R., Mosesian, J., & Palma, J. d. (2013, 17-21 March 2013). Outlier detection rules for fault detection in solar photovoltaic arrays. Paper presented at the 2013 Twenty-Eighth Annual IEEE Applied Power Electronics Conference and Exposition (APEC).

Çatı Tipi Güneş Enerji Sisteminde Kızılötesi Termal Teşhis ile Arıza Tespiti ve Önemi

Year 2023, Volume: 6 Issue: 1, 90 - 105, 10.03.2023

Hale Bakır

https://doi.org/10.47495/okufbed.1110950

Abstract

Bu çalışmanın temel amacı, Türkiye'deki arıza türlerini görmek ve fotovoltaik santrallerde yatırımcılara ve işletmelere enerji üretimindeki iyileştirmeler hakkında daha iyi ve daha hızlı analizlerle bilgi vermektir. Kızıl ötesi termal teşhis ve termal görüntü işleme ile saha alanlarında tespit edilen arızaların sonuçlarının bir tartışmasını sunar. Türkiye'de kurulu Güneş enerji santralinin gerçek zamanlı saha ölçüm sonuçlarını içermektedir. Türkiye gibi gelişmekte olan ülkeler yıllar içinde daha fazla enerjiye ihtiyaç duyacakları için sürdürülebilir bir yenilenebilir enerji kaynağı önemlidir. Dolayısıyla termal görüntüleme kullanan fotovoltaik enerji santrallerinde güç üretiminde daha iyi performans geliştirme ve iyileştirmeler sağlanmaktadır. Türkiye'de bulunan 600 kW 'lık güneş enerji sisteminde arıza tespiti yapılmış, arızaların nedenleri ve çeşitleri analiz edilmiştir. Ölçüm testlerine göre, termal drone ile elde edilen sonuçlarda 600 kW'lık güneş enerjisi sisteminde bağlantı hataları sorunu panellerin çalışmamasına neden olmaktadır. Bağlantı hatasının sistemi önemli ölçüde etkilediği ve üretim açısından önemli bir etkinliğe sahip olduğu görülmektedir. Sahada yaşanan teknik bağlantı hatası sorunu giderildiğinde % 0.16'lık bir enerji üretiminde iyileştirme sağlanmıştır.

Keywords

Kızılötesi termal teşhis, Arıza tespiti, Enerji üretiminde iyileştirme, Sürdürülebilir bir enerji

References

AbdulMawjood, K., Refaat, S. S., & Morsi, W. G. (2018, 10-12 April 2018). Detection and prediction of faults in photovoltaic arrays: A review. Paper presented at the 2018 IEEE 12th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG 2018).
Bastidas Rodríguez, J. D., Petrone, G., Ramos-Paja, C. A., & Spagnuolo, G. (2013). Photovoltaic modules diagnostic: An overview. IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society, 96-101.
Bonsignore, L., Davarifar, M., Rabhi, A., Tina, G. M., & Elhajjaji, A. (2014). Neuro-Fuzzy Fault Detection Method for Photovoltaic Systems. Energy Procedia, 62, 431-441. doi:https://doi.org/10.1016/j.egypro.2014.12.405
Daliento, S., Chouder, A., Guerriero, P., Pavan, A. M., Mellit, A., Moeini, R., & Tricoli, P. (2017). Monitoring, Diagnosis, and Power Forecasting for Photovoltaic Fields: A Review. International Journal of Photoenergy, 2017, 1356851. doi:10.1155/2017/1356851
Henry, C., Poudel, S., Lee, S.-W., & Jeong, H. (2020). Automatic Detection System of Deteriorated PV Modules Using Drone with Thermal Camera. Applied Sciences, 10(11). doi:10.3390/app10113802
Jeon, H. (2020). THERMAL IMAGE ANALYSIS FOR FAULT DETECTION AND DIAGNOSIS OF PV SYSTEMS. Purdue University Graduate School, Retrieved from https://hammer.purdue.edu/articles/thesis/THERMAL_IMAGE_ANALYSIS_FOR_FAULT_DETECTION_AND_DIAGNOSIS_OF_PV_SYSTEMS/12198432
Libra, M., Daneček, M., Lešetický, J., Poulek, V., Sedláček, J., & Beránek, V. (2019). Monitoring of Defects of a Photovoltaic Power Plant Using a Drone. Energies, 12(5). doi:10.3390/en12050795
Madeti, S. R., & Singh, S. N. (2017). Monitoring system for photovoltaic plants: A review. Renewable and Sustainable Energy Reviews, 67, 1180-1207. doi:https://doi.org/10.1016/j.rser.2016.09.088
Maghami, M. R., Hizam, H., Gomes, C., Radzi, M. A., Rezadad, M. I., & Hajighorbani, S. (2016). Power loss due to soiling on solar panel: A review. Renewable and Sustainable Energy Reviews, 59, 1307-1316. doi:https://doi.org/10.1016/j.rser.2016.01.044
Masmoudi, F., Salem, F. B., & Derbel, N. (2016). Single and double diode models for conventional mono-crystalline solar cell with extraction of internal parameters. 2016 13th International Multi-Conference on Systems, Signals & Devices (SSD), 720-728.
Munoz, M. A., Alonso-García, M. C., Vela, N., & Chenlo, F. (2011). Early degradation of silicon PV modules and guaranty conditions. Solar Energy, 85(9), 2264-2274. doi:https://doi.org/10.1016/j.solener.2011.06.011
Segovia Ramírez, I., Das, B., & García Márquez, F. P. (2022). Fault detection and diagnosis in photovoltaic panels by radiometric sensors embedded in unmanned aerial vehicles. Progress in Photovoltaics: Research and Applications, 30(3), 240-256. doi:https://doi.org/10.1002/pip.3479
Singh, G. K. (2013). Solar power generation by PV (photovoltaic) technology: A review. Energy, 53, 1-13. doi:https://doi.org/10.1016/j.energy.2013.02.057
Takashima, T., Otani, K., Sakuta, K., Yamada, T., Igarashi, T., Hasegawa, K., . . . Yamaguchi, T. (2003). Electrical detection and specification of failed modules in PV array. 3rd World Conference onPhotovoltaic Energy Conversion, 2003. Proceedings of, 3, 2276-2279 Vol.2273.
Takashima, T., Yamaguchi, J., Otani, K., Kato, K., & Ishida, M. (2006, 7-12 May 2006). Experimental Studies of Failure Detection Methods in PV Module Strings. Paper presented at the 2006 IEEE 4th World Conference on Photovoltaic Energy Conference.
Zefri, Y., ElKettani, A., Sebari, I., & Ait Lamallam, S. (2018). Thermal Infrared and Visual Inspection of Photovoltaic Installations by UAV Photogrammetry—Application Case: Morocco. Drones, 2(4). doi:10.3390/drones2040041
Zhao, Y., Lehman, B., Ball, R., Mosesian, J., & Palma, J. d. (2013, 17-21 March 2013). Outlier detection rules for fault detection in solar photovoltaic arrays. Paper presented at the 2013 Twenty-Eighth Annual IEEE Applied Power Electronics Conference and Exposition (APEC).

There are 17 citations in total.

Details

Primary Language	Turkish
Subjects	Electrical Engineering
Journal Section	RESEARCH ARTICLES
Authors	Hale Bakır 0000-0001-5580-0505
Publication Date	March 10, 2023
Submission Date	April 29, 2022
Acceptance Date	August 7, 2022
Published in Issue	Year 2023 Volume: 6 Issue: 1

Cite

APA	Bakır, H. (2023). Çatı Tipi Güneş Enerji Sisteminde Kızılötesi Termal Teşhis ile Arıza Tespiti ve Önemi. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 6(1), 90-105. https://doi.org/10.47495/okufbed.1110950
AMA	Bakır H. Çatı Tipi Güneş Enerji Sisteminde Kızılötesi Termal Teşhis ile Arıza Tespiti ve Önemi. Osmaniye Korkut Ata University Journal of Natural and Applied Sciences. March 2023;6(1):90-105. doi:10.47495/okufbed.1110950
Chicago	Bakır, Hale. “Çatı Tipi Güneş Enerji Sisteminde Kızılötesi Termal Teşhis Ile Arıza Tespiti Ve Önemi”. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi 6, no. 1 (March 2023): 90-105. https://doi.org/10.47495/okufbed.1110950.
EndNote	Bakır H (March 1, 2023) Çatı Tipi Güneş Enerji Sisteminde Kızılötesi Termal Teşhis ile Arıza Tespiti ve Önemi. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi 6 1 90–105.
IEEE	H. Bakır, “Çatı Tipi Güneş Enerji Sisteminde Kızılötesi Termal Teşhis ile Arıza Tespiti ve Önemi”, Osmaniye Korkut Ata University Journal of Natural and Applied Sciences, vol. 6, no. 1, pp. 90–105, 2023, doi: 10.47495/okufbed.1110950.
ISNAD	Bakır, Hale. “Çatı Tipi Güneş Enerji Sisteminde Kızılötesi Termal Teşhis Ile Arıza Tespiti Ve Önemi”. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi 6/1 (March 2023), 90-105. https://doi.org/10.47495/okufbed.1110950.
JAMA	Bakır H. Çatı Tipi Güneş Enerji Sisteminde Kızılötesi Termal Teşhis ile Arıza Tespiti ve Önemi. Osmaniye Korkut Ata University Journal of Natural and Applied Sciences. 2023;6:90–105.
MLA	Bakır, Hale. “Çatı Tipi Güneş Enerji Sisteminde Kızılötesi Termal Teşhis Ile Arıza Tespiti Ve Önemi”. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi, vol. 6, no. 1, 2023, pp. 90-105, doi:10.47495/okufbed.1110950.
Vancouver	Bakır H. Çatı Tipi Güneş Enerji Sisteminde Kızılötesi Termal Teşhis ile Arıza Tespiti ve Önemi. Osmaniye Korkut Ata University Journal of Natural and Applied Sciences. 2023;6(1):90-105.