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Mapping global, diffuse and beam solar radiation over Zimbabwe

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  • Hove, T
  • Göttsche, J

Abstract

A database for long-term monthly radiation over Zimbabwe is developed. The meteorological raw data inputs are long-term monthly average records of pyranometer-measured hemispherical radiation, monthly average sunshine records, and satellite-measured hemispherical records over a 2-year period. The sunshine records are incorporated into the database by use of Angstrom-type correlations developed for Zimbabwe, and the short-term satellite data are ‘cultured to long-term ground-measurement basis by means of an empirically derived correlation’ and a ‘time series factor’. Diffuse radiation values are generated from the resulting hemispherical radiation database by a locally developed correlation of the monthly average diffuse fraction of hemispherical radiation with monthly average clearness index. Normal beam radiation is computed from the hemispherical and diffuse radiation using two different methods. The two methods are found to agree generally to within 7%. The results are presented as country-border-contained isolines of radiation. The sensitivity of beam radiation to the accuracy of estimating diffuse radiation is inspected. The sensitivity is quite high, about 1:1 for months and locations with very low clearness. This translates to an almost equal sensitivity of insolation available to tracking tilted apertures, underscoring the importance of developing a local diffuse fraction-clearness index correlation rather than relying on a correlation developed elsewhere.

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  • Hove, T & Göttsche, J, 1999. "Mapping global, diffuse and beam solar radiation over Zimbabwe," Renewable Energy, Elsevier, vol. 18(4), pages 535-556.
    • Handle: RePEc:eee:renene:v:18:y:1999:i:4:p:535-556
    DOI: 10.1016/S0960-1481(98)00782-4
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    Cited by:

    1. Hove, Tawanda, 2000. "A method for predicting long-term average performance of photovoltaic systems," Renewable Energy, Elsevier, vol. 21(2), pages 207-229.
    2. Batidzirai, Bothwell & Lysen, Erik H. & van Egmond, Sander & van Sark, Wilfried G.J.H.M., 2009. "Potential for solar water heating in Zimbabwe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(3), pages 567-582, April.
    3. Khorasanizadeh, Hossein & Mohammadi, Kasra, 2016. "Diffuse solar radiation on a horizontal surface: Reviewing and categorizing the empirical models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 338-362.
    4. Jamil, Basharat & Akhtar, Naiem, 2017. "Comparison of empirical models to estimate monthly mean diffuse solar radiation from measured data: Case study for humid-subtropical climatic region of India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1326-1342.
    5. Hove, Tawanda, 2000. "Energy delivery of solar thermal collectors in Zimbabwe," Renewable Energy, Elsevier, vol. 19(4), pages 495-511.
    6. Hove, T. & Manyumbu, E. & Rukweza, G., 2014. "Developing an improved global solar radiation map for Zimbabwe through correlating long-term ground- and satellite-based monthly clearness index values," Renewable Energy, Elsevier, vol. 63(C), pages 687-697.
    7. Zawilska, E. & Brooks, M.J., 2011. "An assessment of the solar resource for Durban, South Africa," Renewable Energy, Elsevier, vol. 36(12), pages 3433-3438.
    8. Hove, T. & Manyumbu, E., 2013. "Estimates of the Linke turbidity factor over Zimbabwe using ground-measured clear-sky global solar radiation and sunshine records based on a modified ESRA clear-sky model approach," Renewable Energy, Elsevier, vol. 52(C), pages 190-196.

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