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Analytical framework for the assessment and modelling of multi-junction solar cells in the outdoors

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  • Schuster, Christian Stefano

Abstract

The assessment of multi-junction solar cells often relies on numerically intensive computations. Specifically, the power conversion efficiency strongly depends on the interplay between optical and electrical properties of different materials. Here, a compact and highly accurate analytical framework is proposed, facilitating the analysis of multi-junction solar cells; explicit yet simple analytical equations allow to assess the power conversion efficiency as a direct function of the cell’s parameters, without restrictive assumptions. They are first used to compare the performance of the industrial state-of-the-art to multi-junction approaches. Therefore, minute data products are obtained from free satellite-services for different climatic zones over 14 years. Any variations in the operating temperature, sunshine duration, Sun’s position, meteorological condition or atmospheric chemistry are thereby accounted for. Similarly, a strong site dependency is found for perovskite-on-silicon tandem cells under real-world conditions. For this, a scattering-matrix treatment is formulated based on incoherent sunlight as the relevant case. While this study gives new theoretical insights about the impact of the cell’s parameters on the conversion efficiency, it also presents a powerful analytical tool for the design and assessment of more efficient solar cells in the outdoors.

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  • Schuster, Christian Stefano, 2020. "Analytical framework for the assessment and modelling of multi-junction solar cells in the outdoors," Renewable Energy, Elsevier, vol. 152(C), pages 1367-1379.
    • Handle: RePEc:eee:renene:v:152:y:2020:i:c:p:1367-1379
    DOI: 10.1016/j.renene.2020.01.002
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    References listed on IDEAS

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    1. Pindado, Santiago & Cubas, Javier, 2017. "Simple mathematical approach to solar cell/panel behavior based on datasheet information," Renewable Energy, Elsevier, vol. 103(C), pages 729-738.
    2. Alonso García, M.C. & Balenzategui, J.L., 2004. "Estimation of photovoltaic module yearly temperature and performance based on Nominal Operation Cell Temperature calculations," Renewable Energy, Elsevier, vol. 29(12), pages 1997-2010.
    3. Javier Cubas & Santiago Pindado & Carlos De Manuel, 2014. "Explicit Expressions for Solar Panel Equivalent Circuit Parameters Based on Analytical Formulation and the Lambert W-Function," Energies, MDPI, vol. 7(7), pages 1-18, June.
    4. Santiago Pindado & Javier Cubas & Elena Roibás-Millán & Francisco Bugallo-Siegel & Félix Sorribes-Palmer, 2018. "Assessment of Explicit Models for Different Photovoltaic Technologies," Energies, MDPI, vol. 11(6), pages 1-22, May.
    5. Schuster, Christian Stefano, 2020. "The quest for the optimum angular-tilt of terrestrial solar panels or their angle-resolved annual insolation," Renewable Energy, Elsevier, vol. 152(C), pages 1186-1191.
    6. Evaldo C. Gouvêa & Pedro M. Sobrinho & Teófilo M. Souza, 2017. "Spectral Response of Polycrystalline Silicon Photovoltaic Cells under Real-Use Conditions," Energies, MDPI, vol. 10(8), pages 1-13, August.
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    Cited by:

    1. Dong Liang & Long Ma & Peng Wang & Yuanxia Li & Yiping Luo, 2024. "Adaptive Design of Solar-Powered Energy Systems Based on Daily Clearness State Evolution," Energies, MDPI, vol. 17(10), pages 1-16, May.
    2. Schuster, Christian Stefano & Koc, Mehmet & Yerci, Selcuk, 2022. "Analytic modelling of multi-junction solar cells via multi-diodes," Renewable Energy, Elsevier, vol. 184(C), pages 1033-1042.

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