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<metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>Seasonality in perovskite solar cells</dc:title><dc:creator>Remec,	Marko	(Avtor)
	</dc:creator><dc:creator>Khenkin,	Mark	(Avtor)
	</dc:creator><dc:creator>Erdil,	Ulas	(Avtor)
	</dc:creator><dc:creator>Emery,	Quiterie	(Avtor)
	</dc:creator><dc:creator>Paramasivam,	Gopinath	(Avtor)
	</dc:creator><dc:creator>Unger,	Eva	(Avtor)
	</dc:creator><dc:creator>Schlatmann,	Rutger	(Avtor)
	</dc:creator><dc:creator>Albrecht,	Steve	(Avtor)
	</dc:creator><dc:creator>Topič,	Marko	(Avtor)
	</dc:creator><dc:creator>Ulbrich,	Carolin	(Avtor)
	</dc:creator><dc:subject>photovoltaics</dc:subject><dc:subject>solar cell</dc:subject><dc:subject>perovskite</dc:subject><dc:subject>loss analysis</dc:subject><dc:description>Insights are reported from a 4-year outdoor study in Berlin using encapsulated p–i–n perovskite solar cells with the structure ITO | 2PACz | Cs0.15FA0.85PbI2.55Br0.45 (bandgap of 1.65 eV) | C60 | SnO2 | Cu. Peak summer performance showed little to no degradation during the first two summers and only ≈2% absolute drop in outdoor power conversion efficiency from the first to fourth summer. Despite good stability, the devices exhibit significant seasonality, with winter performance up to 30% lower than in summer during the first year, increasing with aging. The factors contributing to this seasonality are separated into four categories: I) solar spectrum, II) device temperature, III) maximum power point tracking losses, and IV) metastability effects. Among these, metastability – particularly light-soaking behavior – is the largest contributing factor that sets perovskite technology apart from conventional photovoltaics. It was found that in cold, low-light winter conditions, voltage gains from light-soaking remain unsaturated, leading to reduced performance. Full saturation requires more than 24 h of continuous illumination, indicating that device performance depends on more than a single diurnal cycle. This comprehensive analysis highlights the complexity of seasonal behavior and the importance of long-term, real-world testing for accurate forecasting of perovskite photovoltaic energy yield.</dc:description><dc:date>2025</dc:date><dc:date>2026-01-22 12:15:32</dc:date><dc:type>Članek v reviji</dc:type><dc:identifier>178276</dc:identifier><dc:identifier>UDK: 621.383.51</dc:identifier><dc:identifier>ISSN pri članku: 1614-6840</dc:identifier><dc:identifier>DOI: 10.1002/aenm.202501906</dc:identifier><dc:identifier>COBISS_ID: 242478339</dc:identifier><dc:language>sl</dc:language></metadata>
