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Calculating solar radiation for horizontal surfaces—II. Empirically based approaches

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  • Hay, John E.

Abstract

This paper reviews the evolution of empirically based methods for estimating the global irradiation at the earth's surface and its direct and diffuse components. The models studied here have little theoretical basis, but their forms can be linked to more fundamental approaches. Both sunshine and cloud based models are described. The accuracy of irradiation estimates using these approaches is discussed, in both absolute terms and in comparison to the cloud layer models described in Part I of this paper. Studies suggest that the empirical models offer little advantage over the more theoretically based models if various factors are taken into account.

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  • Hay, John E., 1993. "Calculating solar radiation for horizontal surfaces—II. Empirically based approaches," Renewable Energy, Elsevier, vol. 3(4), pages 365-372.
    • Handle: RePEc:eee:renene:v:3:y:1993:i:4:p:365-372
    DOI: 10.1016/0960-1481(93)90103-N
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    File URL: http://www.sciencedirect.com/science/article/pii/096014819390103N
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    Cited by:

    1. Chinchilla, Monica & Santos-Martín, David & Carpintero-Rentería, Miguel & Lemon, Scott, 2021. "Worldwide annual optimum tilt angle model for solar collectors and photovoltaic systems in the absence of site meteorological data," Applied Energy, Elsevier, vol. 281(C).
    2. Kafka, Jennifer & Miller, Mark A., 2020. "The dual angle solar harvest (DASH) method: An alternative method for organizing large solar panel arrays that optimizes incident solar energy in conjunction with land use," Renewable Energy, Elsevier, vol. 155(C), pages 531-546.
    3. Hay, John E., 1993. "Satellite based estimates of solar irradiance at the earth's surface—I. Modelling approaches," Renewable Energy, Elsevier, vol. 3(4), pages 381-393.
    4. Verena Weiler & Jonas Stave & Ursula Eicker, 2019. "Renewable Energy Generation Scenarios Using 3D Urban Modeling Tools—Methodology for Heat Pump and Co-Generation Systems with Case Study Application †," Energies, MDPI, vol. 12(3), pages 1-19, January.
    5. Hay, John E., 1993. "Solar radiation data: Validation and quality control," Renewable Energy, Elsevier, vol. 3(4), pages 349-355.
    6. Jasiewicz Jarosław & Cierniewski Jerzy, 2021. "SALBEC – A Python Library and GUI Application to Calculate the Diurnal Variation of the Soil Albedo," Quaestiones Geographicae, Sciendo, vol. 40(3), pages 95-107, September.
    7. Karen Barbosa de Melo & Hugo Soeiro Moreira & Marcelo Gradella Villalva, 2020. "Influence of Solar Position Calculation Methods Applied to Horizontal Single-Axis Solar Trackers on Energy Generation," Energies, MDPI, vol. 13(15), pages 1-15, July.

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