Muhammed Enes Üründü,Mustafa Sacid Endiz

  • Mustafa Sacid Endiz: Necmettin Erbakan Üniversitesi
  •  Year : 2025
  •  Vol : 4
  •  Issue : 2
  •  Page : 131-143
In this study, the design of a photovoltaic solar power plant with an installed capacity of 1 MW was carried out in Konya, one of the leading provinces in Turkey in terms of solar energy potential. The performance of the plant was thoroughly evaluated through comprehensive simulation analyses. During the feasibility phase, two widely used simulation software programs in the solar energy sector, PVsyst and PVSOL, were employed. Using these tools, the plant's annual energy production capacity was calculated in detail based on long-term solar radiation data specific to the region. The simulation process focused not only on estimating energy production but also took into account several technical and environmental parameters, such as panel layout, inverter selection, cabling and conversion losses, geographical location, environmental effects, and meteorological conditions. By considering these factors, the plant was modeled in a way that closely reflects real operating conditions. To assess the accuracy of the simulation results, the data obtained were compared with actual production data from an existing solar power plant in the Konya region with similar technical characteristics for the years 2022 and 2023. The comparative analysis revealed that PVsyst showed a deviation of 5.43% in 2022 and 13.44% in 2023. In contrast, PVSOL demonstrated lower error margins, with deviations of 1.83% and 9.58% for the same years, respectively. Consequently, the use of PVSOL-based analyses in investment planning could offer more reliable projections for investors, contributing to increased system efficiency, more accurate calculation of return on investment, and overall cost optimization. The study aims to shed light on the key criteria for selecting software tools in solar energy investments, thereby contributing to the development of the sector.
Cite this Article As : Üründü, M. E., & Endiz, M. S. (2025). Şebekeye bağlı 1 MW kurulu güçteki güneş enerji santralinin PVsyst ve PVSOL ile performans analizi. Aerospace Research Letters (ASREL), 4(2), 131-143.

Conflict of interest : The authors declare that they have no conflict of interest.

This article is published under the CC BY-NC 4.0 license.
Asrel Aerospace Research Letters
2025, Vol4, Issue2
E-ISSN: 2980-0064
Received : , Accepted : , Published Online :

References

  1. Adrada Guerra, T., Amador Guerra, J., Orfao Tabernero, B., & De la Cruz García, G. (2017). Comparative energy performance analysis of six primary photovoltaic technologies in Madrid (Spain). Energies, 10(6), 772.
  2. Akgayev, B., Akbayrak, S., Yılmaz, M., Büker, M. S., & Unsur, V. (2024). Assessing the Feasibility of Photovoltaic Systems in Türkiye: Technical and Economic Analysis of On-Grid, Off-Grid, and Utility-Scale PV Installations. Necmettin Erbakan Üniversitesi Fen ve Mühendislik Bilimleri Dergisi, 6(1), 69-92.
  3. Al-Shagea, E., Sezen, S., & Özdemir, E. (2021). Lisanssız elektrik üretiminde şebeke bağlantılı fotovoltaik sistemlerin performans analizi. International Marmara Sciences Congress, Kocaeli, Turkey, May,
  4. Arslan, M. (2022). Güneş enerji santrallerinin simülasyon ile üretim verilerinin karşılaştırılması ve analizi Konya Teknik Üniversitesi].
  5. Barak, D. (2022). G20 Ülkelerinde Fosil Yakıt Sübvansiyonlarının Ekolojik Ayak İzi (EF) ve Büyüme Üzerindeki Etkisinin Ampirik Bir Araştırması. Global Journal of Economics and Business Studies, 11(21), 98-113.
  6. Çukurçayır, M. A., & Sağır, H. (2008). Enerji sorunu, çevre ve alternatif enerji kaynaklari. Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi(20), 257-278.
  7. Dip, D. (2023). Güneş enerji santrali üretim verileri ile benzetim programlarından elde edilen verilerin karşılaştırılması: İnceler GES örneği Amasya Üniversitesi].
  8. Endiz, M. S., & Coşgun, A. E. (2023). Assessing the potential of solar power generation in Turkey: A PESTLE analysis and comparative study of promising regions using PVsyst software. Solar Energy, 266, 112153.
  9. Enerji ve Tabii Kaynaklar Bakanlığı. (2025). GÜNEŞ ENERJİSİ POTANSİYEL ATLASI. Retrieved 16 December 2025) from https://gepa.enerji.gov.tr/
  10. Erenoğlu, A. K., Erdinç, O., & Taşcıkaraoğlu, A. (2019). History of electricity. In Pathways to a Smarter Power System (pp. 1-27). Elsevier.
  11. Gielen, D., Boshell, F., Saygin, D., Bazilian, M. D., Wagner, N., & Gorini, R. (2019). The role of renewable energy in the global energy transformation. Energy strategy reviews, 24, 38-50.
  12. Gyam, M., Ceylan, İ., Gürel, A. E., & Yıldız, G. (2023). Comparison of Payback Periods of Solar Power Plant in Türkiye and Europe. Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 11(5), 2419-2444.
  13. Hassan, Q., Viktor, P., Al-Musawi, T. J., Ali, B. M., Algburi, S., Alzoubi, H. M., Al-Jiboory, A. K., Sameen, A. Z., Salman, H. M., & Jaszczur, M. (2024). The renewable energy role in the global energy Transformations. Renewable Energy Focus, 48, 100545.
  14. Kabeyi, M. J. B., & Olanrewaju, O. A. (2022). Sustainable energy transition for renewable and low carbon grid electricity generation and supply. Frontiers in Energy Research, 9, 743114.
  15. Kılıç, R. (2023). Sanayi devrimlerinin serüveni: endüstri 1.0’dan endüstri 5.0’a. Takvim-i Vekayi, 11(2), 276-291.
  16. Kıymaz, Y. E., & Oğuz, H. (2020). Güneş enerjisi santrallerinde derin öğrenme kullanılarak elektrik üretimi tahmininin yapılması Necmettin Erbakan University (Turkey).
  17. Özkan, A. O., & Demir, H. B. (2019). Fotovoltaik panellerde sıcaklık ve zenit açısının panel güç üretimine etkisi. Necmettin Erbakan Üniversitesi Fen ve Mühendislik Bilimleri Dergisi, 1(1), 1-9.
  18. Sharma, D. K., Verma, V., & Singh, A. P. (2014). Review and analysis of solar photovoltaic softwares. International Journal of Current Engineering and Technology, 4(2), 725-731.
  19. Türkyılmaz, A. (2023). Çatı uygulamalı bir güneş enerji santralinin farklı yazılımlarda optimizasyon çalışması Kütahya Dumlupınar Üniversitesi.