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Temperature regulation of concentrating photovoltaic window using argon gas and polymer dispersed liquid crystal films

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  • Khalid, Maria
  • Shanks, Katie
  • Ghosh, Aritra
  • Tahir, Asif
  • Sundaram, Senthilarasu
  • Mallick, Tapas Kumar

Abstract

Low concentrating photovoltaic (LCPV) system has been studied extensively, which showed excellent potential for the building integration application. However, such a system suffers from higher operating temperatures due to the concentrated light exposed into the solar cell. In this work, two different methods have been used to regulate the operating temperature of the solar cell without the interference of any other external mechanism. Two concepts were used to study the operating temperature of the solar cells are: i) use of Argon gas within the concentrator element, ii) incorporation of polymer-dispersed liquid crystal films (PDLC) on top of the module. In both cases, the power was improved by 37 mW–47 mW when temperature was reduced by 10 °C and 4 °C for the Argon gas-filled module and PDLC integrated module, respectively. In addition, the temperature effect of the PDLC integrated module showed a unique nature of reduction of the short circuit current due to the orientation of the liquid crystal particle, which increased at a higher temperature. The current study, therefore, shows the greater potential of improving the operating efficiency and reduction of solar cell temperature, without the need for additional pumping power such as needed for photovoltaic thermal application.

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  • Khalid, Maria & Shanks, Katie & Ghosh, Aritra & Tahir, Asif & Sundaram, Senthilarasu & Mallick, Tapas Kumar, 2021. "Temperature regulation of concentrating photovoltaic window using argon gas and polymer dispersed liquid crystal films," Renewable Energy, Elsevier, vol. 164(C), pages 96-108.
    • Handle: RePEc:eee:renene:v:164:y:2021:i:c:p:96-108
    DOI: 10.1016/j.renene.2020.09.069
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    References listed on IDEAS

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    2. N. Yogambal Jayalakshmi & R. Shankar & Umashankar Subramaniam & I. Baranilingesan & Alagar Karthick & Balasubramaniam Stalin & Robbi Rahim & Aritra Ghosh, 2021. "Novel Multi-Time Scale Deep Learning Algorithm for Solar Irradiance Forecasting," Energies, MDPI, vol. 14(9), pages 1-23, April.
    3. Yu, Guoqing & Yang, Hongxing & Luo, Daina & Cheng, Xu & Ansah, Mark Kyeredey, 2021. "A review on developments and researches of building integrated photovoltaic (BIPV) windows and shading blinds," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).

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