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Effect of different shading situations on photovoltaic panel characteristics

Year 2021, Volume: 11 Issue: 1, 161 - 168, 15.01.2021
https://doi.org/10.17714/gumusfenbil.766232

Abstract

Photovoltaic systems, which is one of the subjects that many developed countries are working on, are used to obtain electrical energy from solar energy. Photovoltaic systems have emerged as one of the most reliable and affordable alternatives to meet energy needs. In case of meeting this energy need, examining the conditions such as partial shading depending on the time is vital for meeting the energy. The shading situation causes the power obtained to decrease significantly. As the shading rate increases, the efficiency decreases. Therefore, for different conditions, the effect of the shading situation on the power obtained must be investigated. This study was done in a laboratory environment by using solar simulator. The distance between the artificial light source and the panel is set at 0.8 m and 1.4 m, and the angle is 0 °, 20 ° and 40 °. In case of shading to the all cells and shading to 1/36, 2/36 cells, in terms of panel characteristic and change of maximum power are compared. The results showed that the maximum power obtained decreases as the distance and angle between the artificial light source and the panel increases.

References

  • Ashouri-Zadeh, A., Toulabi, M., Dobakhshari, A. S., Taghipour-Broujeni, S. ve Ranjbar, A. M. (2018). A Novel technique to extract the maximum power of photovoltaic array in partial shading conditions. International Journal of Electrical Power and Energy Systems, 101, 500–512, https://doi:10.1016/j.ijepes.2018.03.035.
  • Bayrak, F., Erturk, G. ve Oztop, H. F. (2017). Effects of partial shading on energy and exergy efficiencies for photovoltaic panels. Journal of Cleaner Production, 164, 58–69, https:// doi:10.1016/j.jclepro.2017.06.108.
  • Chaibi, Y., Malvoni, M., Chouder, A., Boussetta, M. ve Salhi, M. (2019). Simple and efficient approach to detect and diagnose electrical faults and partial shading in photovoltaic systems. Energy Conversion and Management, 196, 330–43, https://doi:10.1016/j.enconman.2019.05.086.
  • Kaced, K., Larbes, C., Ramzan, N., Bounabi, M. ve Dahmane, Z. E. (2017). Bat algorithm based maximum power point tracking for photovoltaic system under partial shading conditions. Solar Energy, 158,490–503, https:// doi:10.1016/j.solener.2017.09.063.
  • Pareek, S., Chaturvedi, N. ve Dahiya, R. (2017). Optimal ınterconnections to address partial shading losses in solar photovoltaic arrays. Solar Energy, 155, 537–551, https://doi:10.1016/j.solener.2017.06.060.
  • Ramli, M. Z. ve Salam, Z. (2019). Performance evaluation of dc power optimizer (dcpo) for photovoltaic (pv) system during partial shading. Renewable Energy, 139, 1336–1354, https://doi:10.1016/j.renene.2019.02.072.
  • Sai Krishna, G. ve Tukaram M. (2019). Reconfiguration strategies for reducing partial shading effects in photovoltaic arrays: state of the art. Solar Energy, 182, 429–452, https://doi:10.1016/j.solener.2019.02.057.
  • Sánchez Reinoso, C., Milone, D. H. ve Buitrago, R. H. (2013). Simulation of photovoltaic centrals with dynamic shading. Applied Energy, 103, 278–289, https://doi:10.1016/j.apenergy.2012.09.040.
  • Wang, Y., Wang, D. ve Liu, Y. (2017). Study on comprehensive energy-saving of shading and photovoltaics of roof added pv module. Energy Procedia, 132, 598–603, https://doi:10.1016/j.egypro.2017.09.672.
  • Yin, O. W. ve Babu, A. C. (2018). Simple and easy approach for mathematical analysis of photovoltaic (pv) module under normal and partial shading conditions. Optik, 169, 48–61, https://doi:10.1016/j.ijleo.2018.05.037.
  • Zhang, X., Lau, S. K., Lau, S. S. Y.ve Zhao, Y. (2018). Photovoltaic ıntegrated shading devices (pvsds): A Review. Solar Energy, 170, 947–968, https://doi:10.1016/j.solener.2018.05.067.
  • Zhu, L., Li, Q., Chen, M., Cao, K. ve Sun, Y. (2019). A Simplified mathematical model for power output predicting of building ıntegrated photovoltaic under partial shading conditions. Energy Conversion and Management, 180, 831–843, https://doi:10.1016/j.enconman.2018.11.036.

Farklı gölgeleme durumlarının fotovoltaik panel karakteristiği üzerine etkisi

Year 2021, Volume: 11 Issue: 1, 161 - 168, 15.01.2021
https://doi.org/10.17714/gumusfenbil.766232

Abstract

Birçok gelişmiş ülkenin üzerinde çalışmalar yaptığı konulardan biri olan fotovoltaik sistemler, güneş enerjisinden elektrik enerjisi elde etmek için kullanılır. Fotovoltaik sistemler enerji ihtiyacını karşılamak için en güvenilir ve en hesaplı alternatiflerden biri olarak ortaya çıkmıştır. Bu enerji ihtiyacı karşılama durumunda zamana bağlı olarak kısmi gölgelenme gibi durumların incelenmesi, enerjiyi karşılama açısından hayati önem taşımaktadır. Gölgeleme durumu, elde edilen gücün önemli ölçüde azalmasına neden olmaktadır. Gölgeleme oranı arttıkça verim azalmaktadır. Dolayısıyla farklı şartlar için, gölgeleme durumunun elde edilen güç üzerindeki etkisinin araştırılması gerekmektedir. Bu çalışma laboratuvar ortamında solar simülatör kullanılarak yapılmıştır. Yapay ışık kaynağı ve panel arasındaki uzaklık 0.8 m ve 1.4 m, açı ise 0°, 20° ve 40° olacak şekilde ayarlanmıştır. Hücrelerde gölgeleme olmaması durumu ile 1/36 ve 2/36 gölgeleme durumu, panel karakteristiği ve maksimum gücün değişimi açısından karşılaştırılmıştır. Sonuçlar yapay ışık kaynağı ve panel arasındaki mesafe ve açı arttıkça elde edilen maksimum gücün azaldığını göstermiştir.

References

  • Ashouri-Zadeh, A., Toulabi, M., Dobakhshari, A. S., Taghipour-Broujeni, S. ve Ranjbar, A. M. (2018). A Novel technique to extract the maximum power of photovoltaic array in partial shading conditions. International Journal of Electrical Power and Energy Systems, 101, 500–512, https://doi:10.1016/j.ijepes.2018.03.035.
  • Bayrak, F., Erturk, G. ve Oztop, H. F. (2017). Effects of partial shading on energy and exergy efficiencies for photovoltaic panels. Journal of Cleaner Production, 164, 58–69, https:// doi:10.1016/j.jclepro.2017.06.108.
  • Chaibi, Y., Malvoni, M., Chouder, A., Boussetta, M. ve Salhi, M. (2019). Simple and efficient approach to detect and diagnose electrical faults and partial shading in photovoltaic systems. Energy Conversion and Management, 196, 330–43, https://doi:10.1016/j.enconman.2019.05.086.
  • Kaced, K., Larbes, C., Ramzan, N., Bounabi, M. ve Dahmane, Z. E. (2017). Bat algorithm based maximum power point tracking for photovoltaic system under partial shading conditions. Solar Energy, 158,490–503, https:// doi:10.1016/j.solener.2017.09.063.
  • Pareek, S., Chaturvedi, N. ve Dahiya, R. (2017). Optimal ınterconnections to address partial shading losses in solar photovoltaic arrays. Solar Energy, 155, 537–551, https://doi:10.1016/j.solener.2017.06.060.
  • Ramli, M. Z. ve Salam, Z. (2019). Performance evaluation of dc power optimizer (dcpo) for photovoltaic (pv) system during partial shading. Renewable Energy, 139, 1336–1354, https://doi:10.1016/j.renene.2019.02.072.
  • Sai Krishna, G. ve Tukaram M. (2019). Reconfiguration strategies for reducing partial shading effects in photovoltaic arrays: state of the art. Solar Energy, 182, 429–452, https://doi:10.1016/j.solener.2019.02.057.
  • Sánchez Reinoso, C., Milone, D. H. ve Buitrago, R. H. (2013). Simulation of photovoltaic centrals with dynamic shading. Applied Energy, 103, 278–289, https://doi:10.1016/j.apenergy.2012.09.040.
  • Wang, Y., Wang, D. ve Liu, Y. (2017). Study on comprehensive energy-saving of shading and photovoltaics of roof added pv module. Energy Procedia, 132, 598–603, https://doi:10.1016/j.egypro.2017.09.672.
  • Yin, O. W. ve Babu, A. C. (2018). Simple and easy approach for mathematical analysis of photovoltaic (pv) module under normal and partial shading conditions. Optik, 169, 48–61, https://doi:10.1016/j.ijleo.2018.05.037.
  • Zhang, X., Lau, S. K., Lau, S. S. Y.ve Zhao, Y. (2018). Photovoltaic ıntegrated shading devices (pvsds): A Review. Solar Energy, 170, 947–968, https://doi:10.1016/j.solener.2018.05.067.
  • Zhu, L., Li, Q., Chen, M., Cao, K. ve Sun, Y. (2019). A Simplified mathematical model for power output predicting of building ıntegrated photovoltaic under partial shading conditions. Energy Conversion and Management, 180, 831–843, https://doi:10.1016/j.enconman.2018.11.036.
There are 12 citations in total.

Details

Primary Language Turkish
Subjects Engineering
Journal Section Articles
Authors

Eda Feyza Akyürek 0000-0003-4007-6846

Kadir Geliş 0000-0001-8612-2233

Mehmet Yoladı 0000-0002-4729-0768

Publication Date January 15, 2021
Submission Date July 7, 2020
Acceptance Date December 10, 2020
Published in Issue Year 2021 Volume: 11 Issue: 1

Cite

APA Akyürek, E. F., Geliş, K., & Yoladı, M. (2021). Farklı gölgeleme durumlarının fotovoltaik panel karakteristiği üzerine etkisi. Gümüşhane Üniversitesi Fen Bilimleri Dergisi, 11(1), 161-168. https://doi.org/10.17714/gumusfenbil.766232