IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v63y2014icp687-697.html
   My bibliography  Save this article

Developing an improved global solar radiation map for Zimbabwe through correlating long-term ground- and satellite-based monthly clearness index values

Author

Listed:
  • Hove, T.
  • Manyumbu, E.
  • Rukweza, G.

Abstract

Reliable knowledge of the spatio-temporal distribution of solar radiation is required for the informed design and deployment planning of solar energy delivery systems. In this paper an improved global solar radiation map for Zimbabwe is developed by merging ground-measured radiation data from a sparsely distributed station network, with less accurate satellite-measured data which have an almost continuous spatial coverage. Monthly clearness index values derived from ground-measured global radiation are correlated with those derived from satellite data to obtain a model for calibrating satellite-measured data at a specified grid interval. Two multiplicative factors are to then used to further correct the generated data; CFm to cater for the in-exactness of the regression fit and the other, IBCF to cater for the interpolation error. Contour maps of global solar radiation are then constructed using interpolation by the geo-statistical method of ordinary kriging. The accuracy of the maps in predicting observed (ground-measured) values was tested by evaluating error statistics; relative bias error (rBE), relative mean bias error (rMBE) and normalized root mean square error (NRMSE) in a “leave-one-out” cross-validation analysis. Results indicate that the maximum normalized root mean square error was 0.028 (about 3%), a significant improvement when compared to an earlier map, the H–G map with a normalized root mean square error (NRMSE) of 0.097.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:renene:v:63:y:2014:i:c:p:687-697
    DOI: 10.1016/j.renene.2013.10.032
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148113005636
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2013.10.032?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hove, T & Göttsche, J, 1999. "Mapping global, diffuse and beam solar radiation over Zimbabwe," Renewable Energy, Elsevier, vol. 18(4), pages 535-556.
    2. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ramedani, Zeynab & Omid, Mahmoud & Keyhani, Alireza & Shamshirband, Shahaboddin & Khoshnevisan, Benyamin, 2014. "Potential of radial basis function based support vector regression for global solar radiation prediction," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 1005-1011.
    2. Despotovic, Milan & Nedic, Vladimir & Despotovic, Danijela & Cvetanovic, Slobodan, 2015. "Review and statistical analysis of different global solar radiation sunshine models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1869-1880.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chen, Shanlin & Li, Mengying, 2022. "Improved turbidity estimation from local meteorological data for solar resourcing and forecasting applications," Renewable Energy, Elsevier, vol. 189(C), pages 259-272.
    2. El Mghouchi, Y. & El Bouardi, A. & Choulli, Z. & Ajzoul, T., 2016. "Models for obtaining the daily direct, diffuse and global solar radiations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 87-99.
    3. 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.
    4. Hove, Tawanda, 2000. "Energy delivery of solar thermal collectors in Zimbabwe," Renewable Energy, Elsevier, vol. 19(4), pages 495-511.
    5. Chen, Shanlin & Liang, Zhaojian & Dong, Peixin & Guo, Su & Li, Mengying, 2023. "A transferable turbidity estimation method for estimating clear-sky solar irradiance," Renewable Energy, Elsevier, vol. 206(C), pages 635-644.
    6. 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.
    7. 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.
    8. 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.
    9. El Mghouchi, Y. & Ajzoul, T. & Taoukil, D. & El Bouardi, A., 2016. "The most suitable prediction model of the solar intensity, on horizontal plane, at various weather conditions in a specified location in Morocco," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 84-98.
    10. Hove, Tawanda, 2000. "A method for predicting long-term average performance of photovoltaic systems," Renewable Energy, Elsevier, vol. 21(2), pages 207-229.
    11. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:63:y:2014:i:c:p:687-697. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.