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Summary climatic data for solar technology development in Oman

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  • Dorvlo, Atsu S.S.
  • Ampratwum, David B.

Abstract

Major climatic data that are of direct relevance to the development of solar energy thermal conversion devices are ambient temperature, relative humidity, wind speed, sunshine hours and solar radiation. These meteorological data are linked directly to design optimisation and performance prediction. From a single meteorological station in 1942, there are now about 20 stations in Oman, that monitor the above parameters in addition to atmospheric pressure, rainfall and evaporation. In this study data from twelve stations for the years 1987 to 1992 are compiled and analysed for ambient temperature, relative humidity, wind speed, sunshine hours and solar radiation. The data is presented as summary statistics that will provide handy reference for engineers and scientists involved in solar technology development in Oman. The mean, standard deviation, minimum and maximum values of the parameters are presented for the whole country, the twelve stations and the months of the year over the six year period. The data have been subjected to rigorous statistical analysis to determine general weather patterns, and similarities and dissimilarities between the stations. Use of the data in a solar technology development is discussed. Summaries for stations over months can be obtained from the authors.

Suggested Citation

  • Dorvlo, Atsu S.S. & Ampratwum, David B., 1998. "Summary climatic data for solar technology development in Oman," Renewable Energy, Elsevier, vol. 14(1), pages 255-262.
    • Handle: RePEc:eee:renene:v:14:y:1998:i:1:p:255-262
    DOI: 10.1016/S0960-1481(98)00075-5
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    References listed on IDEAS

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    1. Al-Hinai, H. A. & Al-Alawi, S. M., 1995. "Typical solar radiation data for Oman," Applied Energy, Elsevier, vol. 52(2-3), pages 153-163.
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    1. Dorvlo, A.S.S & Ampratwum, D.B, 2002. "Wind energy potential for Oman," Renewable Energy, Elsevier, vol. 26(3), pages 333-338.
    2. Dorvlo, Atsu S. S. & Jervase, Joseph A. & Al-Lawati, Ali, 2002. "Solar radiation estimation using artificial neural networks," Applied Energy, Elsevier, vol. 71(4), pages 307-319, April.
    3. Malik, A. & Al-Badi, A.H., 2009. "Economics of Wind turbine as an energy fuel saver – A case study for remote application in oman," Energy, Elsevier, vol. 34(10), pages 1573-1578.
    4. Siebert, Stefan & Nagieb, Maher & Buerkert, Andreas, 2007. "Climate and irrigation water use of a mountain oasis in northern Oman," Agricultural Water Management, Elsevier, vol. 89(1-2), pages 1-14, April.
    5. Sulaiman, M.Yusof & Akaak, Ahmed Mohammed & Wahab, Mahdi Abd & Zakaria, Azmi & Sulaiman, Z.Abidin & Suradi, Jamil, 2002. "Wind characteristics of Oman," Energy, Elsevier, vol. 27(1), pages 35-46.
    6. Jervase, J.A & Al-Lawati, A & Dorvlo, A.S.S, 2003. "Contour maps for sunshine ratio for Oman using radial basis function generated data," Renewable Energy, Elsevier, vol. 28(3), pages 487-497.
    7. Kwan, Calvin Lee, 2012. "Influence of local environmental, social, economic and political variables on the spatial distribution of residential solar PV arrays across the United States," Energy Policy, Elsevier, vol. 47(C), pages 332-344.

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