TY - JOUR T1 - Assessment of photovoltaic module temperature estimation for four years with four different software TT - Dört yıllık fotovoltaik modül sıcaklık tahmininin dört farklı yazılımla değerlendirilmesi AU - Tolgay, Doğa AU - Yakut, M. Samet AU - Özden, Talat AU - Akınoğlu, Bülent PY - 2023 DA - January Y2 - 2022 DO - 10.17714/gumusfenbil.1096726 JF - Gümüşhane Üniversitesi Fen Bilimleri Dergisi PB - Gümüşhane Üniversitesi WT - DergiPark SN - 2146-538X SP - 32 EP - 46 VL - 13 IS - 1 LA - en AB - The software used today, on the estimation of module temperature of photovoltaic systems, seem very important to be analyzed. These estimates are crucial in future techno-economic and environmentally friendly analyses of the systems to reach better achievements for future generations. This is very important to reach lifetime analyses of long-term feasibility to find out payback time and the levelized cost of energy. The present work is based on this issue, to test the module temperature estimation formulas used by four commonly used software models, and to determine the most suitable software for temperature analyses of five different photovoltaic modules in Middle Anatolia. Outdoor truthful long-term testing is the main realistic approach to reach fundamental contemplations. After an introductory basic knowledge, the main materials and methods are discussed to enlighten the analysis. The main methodology is given and further prospects are enlightened. Four well-known software are analyzed using four years of outdoor testing of five different photovoltaic modules. Measured ambient temperature and solar irradiance are used in the categorization of the software estimation performances. PV*SOL appears to be superior at low irradiance and ambient temperature, whereas Helioscope appears to be superior overall. KW - Photovoltaic module temperature KW - PV correlations KW - Solar cell KW - Solar energy KW - Temperature estimation formula N2 - Günümüzde kullanılan fotovoltaik sistemlerde modül sıcaklığını tahminleme yazılımlarının analiz edilmesi çok önemlidir. Bu tahminler ileriye yönelik tekno-ekonomik ve çevre duyarlı analizler için gelecek nesiller için daha kazanımlı olacaktır. Mevcut çalışma, bu konuyla ilgili olarak, yaygın kullanılan dört yazılım modeli tarafından kullanılan modül sıcaklık tahmin formüllerini test etmek ve Orta Anadolu’da beş farklı fotovoltaik modülün sıcaklık analizleri için en uygun yazılımı belirlemektir. Açık alanda yapılan tutarlı ve uzun dönemli testler, temel sonuçlara ulaşmak için en gerçekçi yaklaşımdır. Giriş bölümünde temel bilgilerin ardından, analize ışık tutacak temel materyal ve yöntemler tartışılmaktadır. Ana metodoloji verilmekte ve sonuçlar sunulmaktadır. Dört iyi bilinen yazılım, beş farklı fotovoltaik modülün dört yıllık açık alan testleri kullanılarak analiz edilmiştir. Yazılım tahmin performanslarının sınıflandırılmasında ortam sıcaklığı ve güneş ışınımı kullanılmıştır. PV*SOL, düşük ışınım ve ortam sıcaklığında üstün görünürken, Helioscope genel olarak daha iyi sonuçlar vermiştir. CR - Akinoglu, B. G. (1991). A review of sunshine-based models used to estimate monthly average global solar radiation. Renewable Energy, 1(3–4), 479–497. https://doi.org/10.1016/0960-1481(91)90061-S CR - Aly, S. P., Ahzi, S., & Barth, N. (2019). Effect of physical and environmental factors on the performance of a photovoltaic panel. Solar Energy Materials and Solar Cells, 200(September 2018), 109948. https://doi.org/10.1016/j.solmat.2019.109948 CR - Atse, L., Waal, A. C. de, Schropp, R. E. I., Faaij, A. P. C., & Sark, W. G. J. H. M. van. (2017). Comprehensive characterisation and analysis of PV module performance under real operating conditions. 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