Assessment of photovoltaic module temperature estimation for four years with four different software

Doğa Tolgay; M. Samet Yakut; Talat Özden; Bülent Akınoğlu

doi:10.17714/gumusfenbil.1096726

EN TR

Assessment of photovoltaic module temperature estimation for four years with four different software

Abstract

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.

Keywords

Photovoltaic module temperature , PV correlations , Solar cell , Solar energy , Temperature estimation formula

Dört yıllık fotovoltaik modül sıcaklık tahmininin dört farklı yazılımla değerlendirilmesi

Öz

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.

Anahtar Kelimeler

Fotovoltaik modül sıcaklığı , PV korelasyonları , Güneş hücresi , Güneş enerjisi , Sıcaklık tahmin formülü

Kaynakça

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
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
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. Progress In Photovoltaics: Research and Applications, 25(2), 218–232. https://doi.org/10.1002/pip.2848
Bañuelos-Ruedas, F., Angeles-Camacho, C., & Rios-Marcuello, S. (2010). Analysis and validation of the methodology used in the extrapolation of wind speed data at different heights. Renewable and Sustainable Energy Reviews, 14(8), 2383–2391. https://doi.org/10.1016/j.rser.2010.05.001
Dubey, S., Sarvaiya, J. N., & Seshadri, B. (2013). Temperature dependent photovoltaic (PV) efficiency and its effect on PV production in the world a review. Energy Procedia, 33, 311–321. https://doi.org/10.1016/j.egypro.2013.05.072
Duffie, J. A., Beckman, W. A., & McGowan, J. (1985). Solar engineering of thermal processes. https://doi.org/10.1119/1.14178
Eckstein, J. H. (1990). Detailed modelling of photovoltaic system components. University of Wisconsin-Madison.
Faiman, D. (2008). Assessing the outdoor operating temperature of photovoltaic modules. https://doi.org/10.1002/pip.813
Folsom Labs. (2019). HelioScope software. https://www.helioscope.com/
HOMER software. (2019). https://www.homerenergy.com/

International renewable energy agency. (2020). Renewable Capacity Statistics 2020. https://irena.org/publications/2020/Mar/Renewable-Capacity-Statistics-2020
Jaszczur, M., Teneta, J., Hassan, Q., Majewska, E., & Hanus, R. (2019). An experimental and numerical investigation of photovoltaic module temperature under varying environmental conditions. Heat Transfer Engineering, 42(3–4), 354–367. https://doi.org/10.1080/01457632.2019.1699306
Jha, A., & Tripathy, P. P. (2019). Heat transfer modeling and performance evaluation of photovoltaic system in different seasonal and climatic conditions. Renewable Energy, 135, 856–865. https://doi.org/10.1016/j.renene.2018.12.032
Karaveli, A. B., Ozden, T., & Akinoglu, B. G. (2018). Determining photovoltaic module performance and comparisons. PVCon 2018 - International Conference on Photovoltaic Science and Technologies, 18–22. https://doi.org/10.1109/PVCon.2018.8523868
King, D. L., Boyson, W. E., & Kratochvil, J. A. (2004). Photovoltaic array performance model. In Sandia Report No. 2004-3535 (Vol. 8, Issue November). https://doi.org/10.2172/919131
Koehl, M., Heck, M., Wiesmeier, S., & Wirth, J. (2011). Modeling of the nominal operating cell temperature based on outdoor weathering. Solar Energy Materials and Solar Cells, 95(7), 1638–1646. https://doi.org/10.1016/j.solmat.2011.01.020
Nikolaeva-Dimitrova, M., Kenny, R. P., Dunlop, E. D., & Pravettoni, M. (2010). Seasonal variations on energy yield of a-Si, hybrid, and crystalline Si PV modules. Progress in Photovoltaics: Research and Applications, 18(5), 311–320. https://doi.org/10.1002/pip.918
Ozden, T., Akinoglu, B. G., & Kurtz, S. (2018). Performance and degradation analyses of two different pv modules in central anatolia. PVCon 2018 - International Conference on Photovoltaic Science and Technologies, 18–21. https://doi.org/10.1109/PVCon.2018.8523880
Ozden, T., Carr, A. J., Geerligs, B. (L J. )., Turan, R., & Akinoglu, B. G. (2020). One-year performance evaluation of two newly developed back-contact solar modules in two different climates. Renewable Energy, 145, 557–568. https://doi.org/10.1016/j.renene.2019.06.045
Ozden, T., Karaveli, A., & Akinoglu, B. (2020). Fotovoltaik sistemlerde performans hesaplama modellerinin Ankara (Orta Anadolu) için karşılaştırılması. European Journal of Science and Technology, 18, 54–60. https://doi.org/10.31590/ejosat.653272
Ozden, T., Tolgay, D., & Akinoglu, B. G. (2018). Daily and monthly module temperature variation for 9 different modules. PVCon 2018 - International Conference on Photovoltaic Science and Technologies. https://doi.org/10.1109/PVCon.2018.8523878
Ozden, T., Tolgay, D., Yakut, M. S., & Akinoglu, B. G. (2020). An extended analysis of the models to esti̇mate photovoltaic module temperature. Turkish Journal of Engineering, 4(4), 183–196. https://doi.org/10.31127/tuje.639378
Peel, M. C., Finlayson, B. L., & McMahon, T. A. (2007). Updated world map of the Köppen-Geiger climate classification. Hydrology and Earth System Sciences, 11(5), 1633–1644. https://doi.org/10.5194/hess-11-1633-2007
PVsyst. (2019). PVsyst PV Software. https://www.pvsyst.com
Radziemska, E. (2003). The effect of temperature on the power drop in crystalline silicon solar cells. Renewable Energy, 28, 1–12. https://doi.org/10.1016/S0960-1481(02)00015-0
Rahman, M. M., Hasanuzzaman, M., & Rahim, N. A. (2015). Effects of various parameters on PV-module power and efficiency. Energy Conversion and Management, 103, 348–358. https://doi.org/10.1016/j.enconman.2015.06.067
Ross, R. G., & Smokler, M. I. (1986). Electricity from photovoltaic solar cells: Flat-Plate Solar Array Project final report.https://www2.jpl.nasa.gov/adv_tech/photovol/ppr_86-90/FSA%20Final%20Rpt%20VII%20-%20Encapsulation.pdf
Rubel, F., Brugger, K., Haslinger, K., & Auer, I. (2017). The climate of the European Alps: Shift of very high resolution Köppen-Geiger climate zones 1800-2100. Meteorologische Zeitschrift, 26(2), 115–125. https://doi.org/10.1127/metz/2016/0816
Sandnes, B., & Rekstad, J. (2002). A photovoltaic/thermal (PV/T) collector with a polymer absorber plate. Experimental study and analytical model. Solar Energy, 72(1), 63–73. https://doi.org/10.1016/S0038-092X(01)00091-3
Shen, L., Li, Z., & Ma, T. (2020). Analysis of the power loss and quantification of the energy distribution in PV module. Applied Energy, 260(November 2019), 114333. https://doi.org/10.1016/j.apenergy.2019.114333
Skoplaki, E., Boudouvis, A. G., & Palyvos, J. A. (2008). A simple correlation for the operating temperature of photovoltaic modules of arbitrary mounting. Solar Energy Materials and Solar Cells, 92(11), 1393–1402. https://doi.org/10.1016/j.solmat.2008.05.016
Tuncel, B., Ozden, T., Balog, R. S., & Akinoglu, B. G. (2020). Dynamic thermal modelling of PV performance and effect of heat capacity on the module temperature. Case Studies in Thermal Engineering, 22(August), 100754. https://doi.org/10.1016/j.csite.2020.100754
Twidell, J., & Weir, T. (2015). Renewable Energy Resources (3rd Edition, Ed.). Taylor Francis. https://doi.org/10.4324/9781315766416
Valentin software. (2019). PV*SOL. https://valentin-software.com/en/products/pvsol-premium/
Ye, J., Reindl, T., & Luther, J. (2012). Seasonal variation of PV module performance in tropical regions. Conference Record of the IEEE Photovoltaic Specialists Conference, 2406–2410. https://doi.org/10.1109/PVSC.2012.6318082
Ye, Z., Nobre, A., Reindl, T., Luther, J., & Reise, C. (2013). On PV module temperatures in tropical regions. Solar Energy, 88, 80–87. https://doi.org/10.1016/j.solener.2012.11.001

Ayrıntılar

Birincil Dil

İngilizce

Konular

Mühendislik

Bölüm

Araştırma Makalesi

Yazarlar

Doğa Tolgay ^*
0000-0002-3155-946X
Türkiye

M. Samet Yakut
0000-0002-3236-5843
Türkiye

Talat Özden
0000-0002-0781-2904
Türkiye

Bülent Akınoğlu
0000-0003-1987-6937
Türkiye

Yayımlanma Tarihi

15 Ocak 2023

Gönderilme Tarihi

1 Nisan 2022

Kabul Tarihi

21 Ekim 2022

Yayımlandığı Sayı

Yıl 2023 Cilt: 13 Sayı: 1

DOI

https://doi.org/10.17714/gumusfenbil.1096726

IZ

https://izlik.org/JA82XL54NA

APA

Tolgay, D., Yakut, M. S., Özden, T., & Akınoğlu, B. (2023). Assessment of photovoltaic module temperature estimation for four years with four different software. Gümüşhane Üniversitesi Fen Bilimleri Dergisi, 13(1), 32-46. https://doi.org/10.17714/gumusfenbil.1096726

Cited By

Design and implementation of a low-cost datalogger for solar irradiance and PV module temperature

Journal of Electrical Systems and Information Technology

https://doi.org/10.1186/s43067-024-00180-y

e-ISSN: 2146-538X Yayın Modeli: Sürekli Yayın Atıf Dizinleri: TR Dizin , SCOPUS

Assessment of photovoltaic module temperature estimation for four years with four different software

Abstract

Keywords

Dört yıllık fotovoltaik modül sıcaklık tahmininin dört farklı yazılımla değerlendirilmesi

Öz

Anahtar Kelimeler

Kaynakça

Ayrıntılar

Birincil Dil

Konular

Bölüm

Yazarlar

Yayımlanma Tarihi

Gönderilme Tarihi

Kabul Tarihi

Yayımlandığı Sayı

DOI

IZ

Kaynak Göster

Cited By

Design and implementation of a low-cost datalogger for solar irradiance and PV module temperature