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10.1002/cssc.202501649

http://scihub22266oqcxt.onion/10.1002/cssc.202501649
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41391180!?!41391180

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suck abstract from ncbi

pmid41391180      ChemSusChem 2025 ; ? (?): e202501649
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  • Thermal Management of Perovskite Solar Cells #MMPMID41391180
  • Zhang Q; Chen P; Zhao X; Yu X; Yusoff ARBM; Yu Y; Gao P
  • ChemSusChem 2025[Dec]; ? (?): e202501649 PMID41391180show ga
  • This article presents a thorough review of perovskite solar cells (PSCs) thermal management. It starts with an analysis of solar cells' temperature coefficients, emphasizing temperature's substantial effect on PSCs' performance. The review includes a comparison of thermal coefficients across various solar cells: monocrystalline silicon, CIGS, perovskite, and tandem perovskite/silicon cells. The temperature sensitivity of PSCs is linked to perovskite materials' thermal instability and temperature-sensitive components like the organic hole transport layer. The review explores the negative effects of high temperatures on PSCs' performance, such as thermal stress, thermal decomposition, and phase transition behavior. To tackle these issues, diverse thermal management strategies are assessed, including passive cooling (radiative cooling, phase change materials, heat pipe cooling, and passive evaporative cooling) and active cooling methods (fluid circulation cooling, jet impingement cooling, and spectral filtering). The review also underlines the significance of thermal management for PSCs in various applications, such as extreme space conditions, reverse solar cells, and building-integrated photovoltaics. Furthermore, it discusses the potential of machine learning in aiding thermal management and the prospects of thermophotovoltaic cells. The review concludes by underscoring the crucial role of effective thermal management in improving PSCs' efficiency and stability, which is vital for their large-scale energy production.
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