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Modelling of passive cooling systems for solar panels

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Warianty tytułu
PL
Modelowanie systemów chłodzenia pasywnego paneli fotowoltaicznych
Języki publikacji
EN
Abstrakty
EN
This paper proposes a method for evaluating the efficiency of passive cooling systems of solar panels in a type of radiator using CFD sim ulations. The movement of air through the cooling system and the dependence of the thermal state of the radiator on its shape, wind speed, and ambient temperature were analyzed. A mathematical analysis was made that takes into account the average temperature drop of a solar panel con nected to a ribbed heat sink. Experimental measurements of the temperature of the solar panel were performed.
PL
W artykule zaproponowano metodę oceny wydajności pasywnych układów chłodzenia paneli fotowoltaicznych bazujących na radiato rach z wykorzystaniem symulacji CFD. Przeanalizowano ruch powietrza w układzie chłodzącym oraz zależność temperatury radiatora od jego kształtu, prędkości wiatru i temperatury otoczenia. Przeprowadzono analizę matematyczną uwzględniającą spadek średniej temperatury panelu fo towoltaicznego połączonego z żebrowym radiatorem. Wykonano eksperymentalne pomiary temperatury panelu fotowoltaicznego.
Rocznik
Strony
260--264
Opis fizyczny
Bibliogr. 33 poz., rys., tab.
Twórcy
autor
  • Poznan University of Technology, Institute of Automatic Control and Robotics, 3a Piotrowo Street, 61-138 Poznań
  • Poznan University of Technology, Institute of Automatic Control and Robotics, 3a Piotrowo Street, 61-138 Poznań
  • Poznan University of Technology, Institute of Automatic Control and Robotics, 3a Piotrowo Street, 61-138 Poznań
Bibliografia
  • [1] Rynek Fotowoltaiki w Polsce 2022 (Photovoltaic market in Poland 2022), https://ieo.pl/pl/raport-pv-2022, access: 15.03.2022.
  • [2] SolarPower Europe, Global Market Outlook for Solar Power 2021‒2025, https://www.solarpowereurope.org/global-market-outlook-2021-2025/, access: 20.7.2021.
  • [3] Photovoltaic Energy Factsheet, Center for Sustainable Systems, University of Michigan. 2022, Pub. No. CSS07-08.
  • [4] Siecker J., A review of solar photovoltaic systems cooling technologies, Renew. Sustain. Energy Rev. 79 (2017) 192-203.
  • [5] Sayigh A., Comprehensive Renewable Energy, Photovoltaic Solar Energy, Volume One, Elsevier Ltd, 2012, P.746.
  • [6] Sato D., Yamada N., Review of photovoltaic module cooling methods and performance evaluation of the radiative cooling method, Renew. Sustain. Energy Rev. 104 (January) (2019), 151-166.
  • [7] Асанов М.М., Бекиров Э.А., Воскресенская С.Н., Снижение влияния нагрева поверхности фотоэлемента на эффективность его работы (Reducing the effect of solar cell surface heating on its efficiency), Строительство и техногенная безопасность, No 51. (2014), pp. 92-96.
  • [8] Parkunam N., Pandiyan L., Navaneethakrishnan G., Arul S., Vijayan V., Experimental analysis on passive cooling of flat photovoltaic panel with heat sink and wick structure, Energy Sources, Part A Recovery, Util. Environ. Eff. (2019), https://doi.org/10.1080/15567036.2019.1588429.
  • [9] Firoozzadeh M., Shiravi A.H., Shafiee M., An experimental study on cooling the photovoltaic modules by fins to improve power generation: economic assessment, Iranian (iranica), Journal of Energy and Environment 10(2) (2019) 80-84, https://doi.org/10.5829/ijee.2019.10.02.02.
  • [10] El Mays A., et al., Improving photovoltaic panel using finned plate of aluminum, Energy Procedia, 119 (2017) 812-817.
  • [11] Chen H., Chen X., Li S., Ding H., Comparative study on the performance improvement of photovoltaic panel with passive cooling under natural ventilation, Int. J. Smart Grid Clean Energy, (2014), https://doi.org/10.12720/sgce.3.4.374-379.
  • [12] Arifin Z., Danardono Dwi Prija Tjahjana D., Hadi S., et. al., Numerical and experimental investigation of air cooling for photovoltaic panels using aluminum heat sinks, Int. J. Photoenergy (2020), 1574274, https://doi.org/10.1155/2020/ 1574274.
  • [13] Gotmare J.A., Borkar D.S., Hatwar P.R., Experimental investigation of PV panel with fin cooling under natural convection, Int. J. Adv. Technol. Eng. Sci., 03 (02) (2015) (February).
  • [14]Bayrak F., Oztop H.F., Selimefendigil F., Effects of different fin parameters on temperature and efficiency for cooling of photovoltaic panels under natural convection, Sol. Energy, 188 (2019) 484-494.
  • [15] Hernandez-Perez J.G., Carrillo J.G., et. al., Thermal performance of a discontinuous finned heatsink profile for PV passive cooling, Applied Thermal Engineering, 184 (2021) 116238, https://doi.org/10.1016/j.applthermaleng.2020.116238.
  • [16] Popovic C.G., Hudis teanu S.V., Mateescu T.D., Chereches N.- C., Efficiency Improvement of Photovoltaic Panels by Using Air Cooled Heat Sinks, Energy Procedia, 85 (2016) 425-432.
  • [17]Jobair H., Improving of photovoltaic cell performance by cooling using two different types of fins, International Journal of Computer Applications (0975–8887), Volume 157 – No 5, (2017) (January)
  • [18] Freegah B., Hussain A.A., Falih A.H., Towsyfyan H., CFD analysis of heat transfer enhancement in plate-fin heat sinks with fillet profile: Investigation of new designs, Therm. Sci. Eng. Prog., 17 (December) (2019), p. 2020, DOI: 10.1016/j.tsep. 2019.100458.
  • [19] Tijani A.S., Jaffri N.B., Thermal analysis of perforated pin-fins heat sink under forced convection condition, Procedia Manuf., 24 (2018), pp. 290-298, DOI: 10.1016/j.promfg.2018.06.025.
  • [20] Pal V., Modeling and thermal analysis of heat sink with scales on fins cooled by natural convection, Int. J. of Research in Eng. and Technology, 03(06), 2014, pp. 359-362, DOI: 10.15623/ ijret.2014.0306067.
  • [21] Parihar S., Randa R., Thermal Analysis of Heat Sink Using Solidworks, J. of Emerging Technologies and Innovative Research (JETIR), 8 (10), 2021, pp. 167-175.
  • [22] Jakhrani A.Q., Othman A.K., Rigit A.R.H., Samo S.R., Comparison of Solar Photovoltaic Module Temperature, ModelsWorld Applied Sciences Journal, 14:1-8.
  • [23] Website of Sandia National Laboratory (SNL), To Improve PV Performance ModelingCollaborative (PVPMC1), https://pvpmc. sandia.gov/modeling-steps/2-dc-moduleiv/module-temperature/ sandia-module-temperature-model/, access: 11.08.2016.
  • [24] Faiman D., Assessing the outdoor operating temperature of photovoltaic modules, Prog. Photovolt. Res., Appl. 16 (2008) 307-315, http://dx.doi.org/10.1002/pip.
  • [25] Obuchow S., Plotnikow I., Model symulacyjny trybów pracy autonomicznej stacji fotowoltaicznej z uwzględnieniem rzeczywistych warunków pracy, Wiadomości z Tomskiego Uniwersytetu Politechnicznego. Inżynieria geodezyjna, 2017. T. 328. No 6., 38-51.
  • [26] Muzathik A.M., Photovoltaic Modules Operating Temperature Estimation Using a Simple Correlation, International Journal of Energy Engineering, Aug. 2014, vol. 4, Iss. 4, 151-158.
  • [27] Akhsassi. M., El Fathi A., Erraissi N., et. al., Experimental investigation and modeling of the thermal behavior of a solar PV module, Sol. Energy Mater. Sol. Cells, 2018, 180, 271-279.
  • [28] Skoplaki E., Boudouvis A.G., Palyvos J.A., A simple correlation for the operating temperature of photovoltaic modules of arbitrary mounting, Sol. Energ. Mat. Sol. C., 2008, 92:1393- 1402.
  • [29]Yang R., Tiepolo G.,Tonolo E.,Junior J.,Souza M., Photovoltaic Cell Temperature Estimation for a Grid-Connect Photovoltaic Systems in Curitiba, Brazilian Archives of Biology and Technology. Vol.62 no.spe: e19190016, 2019 www.scielo.br/babt
  • [30] Oh J., Pavgi A., Tamizhmani G., Determination of Empirical Coefficients and ΔT for Sandia Thermal Model: Dependence on Backsheet Type, proc. of 7th World Conference on Photovoltaic Energy Conversion (WCPEC-7), 2018, pp. 442-446.
  • [31] Holovko O., Badanie efektywności energetycznej systemu pasywnego chłodzenia paneli słonecznych w klimatycznych warunkach regionu Kujawsko-Pomorskiego (Research on the energy efficiency of a passive cooling system for solar panels in the climatic conditions of the Kuyavian-Pomeranian region). master thesis, Wyższa Szkoła Gospodarki w Bydgoszczy, 2022.
  • [32] MSN Weather, https://www.msn.com/pl-pl/pogoda/prognoza/in-Poznan, access: 17.01.2022.
  • [33] ArcGIS World Geocoding Service, Prediction Of Worldwide Energy Resource, POWER | Data Access Viewer, https:// power.larc.nasa.gov/data-access-viewer/, access: 17.03.2022.
Typ dokumentu
Bibliografia
Identyfikator YADDA
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