Balkan Journal of Electrical and Computer Engineering

2147-284X 2147-284X

MUSA YILMAZ

10.17694/bajece.1418426

Electrical Engineering (Other)

Elektrik Mühendisliği (Diğer)

Investigation of Near Shading Losses in Photovoltaic Systems with PVsyst Software

https://orcid.org/0000-0002-4973-641X

Kayri

İsmail

BATMAN ÜNİVERSİTESİ, MÜHENDİSLİK-MİMARLIK FAKÜLTESİ

03 01 2024

12 1 10 19 01 11 2024 01 25 2024

2013

Balkan Journal of Electrical and Computer Engineering

Shading in photovoltaic systems is known to cause serious energy losses. However, predicting how much shading photovoltaic systems in living spaces will experience throughout the year and the resulting energy loss is not easy. In this study, the effects of near shading on the system efficiency of photovoltaic systems have been investigated with PVsyst software. Instead of standard shading elements, a mosque with a complex architecture was chosen to test the drawing capabilities of the software. A 20 kWp PV power plant is assumed to be installed in three different locations in the courtyard of the mosque. In Scenario-1, 2, and 3, the modules are located in the west, east, and north directions of the mosque, respectively. The annual energy production values obtained in these scenarios have been compared with the reference scenario without shading. According to the results, the annual production in the scenario without near shading was realized as 28.84 kWh. In Scenario-1, 2, and 3, the annual production was 20.43 kWh, 21.46 kWh, and 19.05 kWh, respectively. In the content of the study, sample geometries of shading for all scenarios are presented comparatively for critical dates. In addition, monthly energy production, performance ratio values, and loss diagrams have been presented comparatively.

PVsyst software shading losses PV efficiency renewable energy

[1] I. Kayri and M. T. Gencoglu, "Predicting power production from a photovoltaic panel through artificial neural networks using atmospheric indicators," Neural Comput. Appl., vol. 31, no. 8, pp. 3573–3586, 2019.

[2] A. Korfiati et al., "Estimation of the global solar energy potential and photovoltaic cost with the use of open data," Int J Sustain Energy Plan Manag, vol. 9, pp. 17–30, 2016.

[3] E. Dupont, R. Koppelaar, and H. Jeanmart, "Global available solar energy under physical and energy return on investment constraints," Appl. Energy, vol. 257, no. 113968, p. 113968, 2020.

[4] R. Prăvălie, C. Patriche, and G. Bandoc, "Spatial assessment of solar energy potential at global scale. A geographical approach," J. Clean. Prod., vol. 209, pp. 692–721, 2019.

[5] R. Dutta, K. Chanda, and R. Maity, "Future of solar energy potential in a changing climate across the world: A CMIP6 multi-model ensemble analysis," Renew. Energy, vol. 188, pp. 819–829, 2022.

[6] İ. Kayri, M. T. Gençoğlu, and M. Kayri, "Batman İli Güneş Enerjisi Potansiyelinin Belirlenmesine Yönelik Deneysel Bir Çalışma," in 1st International Engineering and Technology Symposium (1st IETS), Batman, Türkiye, May 03-05, 2018, pp. 646–654.

[7] L. Cheng et al., "Solar energy potential of urban buildings in 10 cities of China," Energy (Oxf.), vol. 196, no. 117038, p. 117038, 2020.

[8] D. F. Silalahi, A. Blakers, M. Stocks, B. Lu, C. Cheng, and L. Hayes, "Indonesia’s vast solar energy potential," Energies, vol. 14, no. 17, p. 5424, 2021.

[9] F. Mansouri Kouhestani, J. Byrne, D. Johnson, L. Spencer, P. Hazendonk, and B. Brown, "Evaluating solar energy technical and economic potential on rooftops in an urban setting: the city of Lethbridge, Canada," Int. J. Energy Environ. Eng., vol. 10, no. 1, pp. 13–32, 2019.

[10] S. Nižetić, M. Jurčević, D. Čoko, and M. Arıcı, "A novel and effective passive cooling strategy for photovoltaic panel,” Renew. Sustain. Energy Rev., vol. 145, no. 111164, p. 111164, 2021.

[11] J. G. Hernandez-Perez, J. G. Carrillo, A. Bassam, M. Flota-Banuelos, and L. D. Patino-Lopez, "Thermal performance of a discontinuous finned heatsink profile for PV passive cooling," Appl. Therm. Eng., vol. 184, no. 116238, p. 116238, 2021.

[12] E. Özbaş, "A novel design of passive cooler for PV with PCM and two-phase closed thermosyphons," Sol. Energy, vol. 245, pp. 19–24, 2022.

[13] M. Krstic et al., "Passive cooling of photovoltaic panel by aluminum heat sinks and numerical simulation," Ain Shams Eng. J., no. 102330, p. 102330, 2023.

[14] İ. Kayri, "The effects of coolant mass flow rate and atmospheric indicators in a PV/T system with experimental and ANN’s models," Sustain. Energy Grids Netw., vol. 36, no. 101189, p. 101189, 2023.

[15] M. Firoozzadeh, M. Lotfi, A. H. Shiravi, and M. Rajabzadeh Dezfuli, "An experimental study on using water streaks and water film over PV module to enhance the electrical efficiency," Environ. Sci. Pollut. Res. Int., 2023.

[16] S. Panda, B. Panda, C. Jena, L. Nanda, and A. Pradhan, "Investigating the similarities and differences between front and back surface cooling for PV panels," Mater. Today, vol. 74, pp. 358–363, 2023.

[17] A. Aydın, İ. Kayri, and H. Aydin, "Determination of the performance improvement of a PV/T hybrid system with a novel inner plate-finned collective cooling with Al2O3 nanofluid," Energy Sources Part A, vol. 44, no. 4, pp. 9663–9681, 2022.

[18] M. Javidan and A. J. Moghadam, "Effective cooling of a photovoltaic module using jet-impingement array and nanofluid coolant," Int. Commun. Heat Mass Transf., vol. 137, no. 106310, p. 106310, 2022.

[19] A. Aydın, İ. Kayri, and H. Aydin, "Electrical and thermal performance enhancement of a photovoltaic thermal hybrid system with a novel inner plate-finned collective cooling with different nanofluids," Int J Green Energy, pp. 1–15, 2023.

[20] R. Salehi, A. Jahanbakhshi, J. B. Ooi, A. Rohani, and M. R. Golzarian, "Study on the performance of solar cells cooled with heatsink and nanofluid added with aluminum nanoparticle," International Journal of Thermofluids, vol. 20, no. 100445, p. 100445, 2023.

[21] K. Osmani, A. Haddad, H. Jaber, T. Lemenand, B. Castanier, and M. Ramadan, "Mitigating the effects of partial shading on PV system’s performance through PV array reconfiguration: A review," Therm. Sci. Eng. Prog., vol. 31, no. 101280, p. 101280, 2022.

[22] A. G. Olabi et al., "Artificial neural networks applications in partially shaded PV systems," Therm. Sci. Eng. Prog., vol. 37, no. 101612, p. 101612, 2023.

[23] D. J. K. Kishore, M. R. Mohamed, K. Sudhakar, and K. Peddakapu, "Swarm intelligence-based MPPT design for PV systems under diverse partial shading conditions," Energy (Oxf.), vol. 265, no. 126366, p. 126366, 2023.

[24] S. Sarwar et al., "A novel hybrid MPPT technique to maximize power harvesting from PV system under partial and Complex Partial Shading," Appl. Sci. (Basel), vol. 12, no. 2, p. 587, 2022.

[25] D. D. Milosavljević, T. S. Kevkić, and S. J. Jovanović, "Review and validation of photovoltaic solar simulation tools/software based on case study," Open Phys., vol. 20, no. 1, pp. 431–451, 2022.

[26] B. Belmahdi and A. E. Bouardi, "Solar potential assessment using PVsyst software in the northern zone of morocco," Procedia Manuf., vol. 46, pp. 738–745, 2020.

[27] Q. A. Alabdali and A. M. Nahhas, "Simulation study of grid connected photovoltaic system using PVsyst Software: analytical study for Yanbu and Rabigh Regions in Saudi Arabia," Am J Energy Res, vol. 9, pp. 30–44, 2021.

[28] N. A. Matchanov, K. O. Seok, A. A. Mirzaev, M. A. Malikov, and D. S. Saidov, "Study of energy yield on grid connected micro-inverter type 2.24 kW PV system using PVsyst simulation software," Appl. Sol. Energy, vol. 56, no. 4, pp. 263–269, 2020.

[29] R. Kumar, C. S. Rajoria, A. Sharma, and S. Suhag, "Design and simulation of standalone solar PV system using PVsyst Software: A case study," Mater. Today, vol. 46, pp. 5322–5328, 2021.

[30] E. D. Chepp, F. P. Gasparin, and A. Krenzinger, "Accuracy investigation in the modeling of partially shaded photovoltaic systems," Sol. Energy, vol. 223, pp. 182–192, 2021.

[31] E. D. Chepp, F. P. Gasparin, and A. Krenzinger, "Improvements in methods for analysis of partially shaded PV modules," Renew. Energy, vol. 200, pp. 900–910, 2022.

[32] PVsyst 7.4. (2023), PVsyst SA. Accessed: Jul. 13, 2023. [Online]. Available: https://www.pvsyst.com/download-pvsyst/

[33] MENR (2023), Ministry of Energy and Natural Resources of Türkiye, Solar Energy Potential Atlas. Accessed: Dec. 12, 2023. [Online]. Available: https://gepa.enerji.gov.tr/MyCalculator/pages/72.aspx