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Generation of representative weather--Year data for Saudi Arabia

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  • Said, S.A.M.
  • Kadry, H.M.

Abstract

In recent years, the computation of load and energy requirement in buildings, energy conservation studies in buildings, and the design of solar systems are not accomplished using long-term averages of weather data as inputs, but preferably with data-sets representative of the climatological features of the site that are generated for this purpose. Such data-sets are the test reference year, typical meteorological year and weather year for energy calculations. In this paper, the basis, the selection procedure and the use of each of these data-sets are discussed. Also, an attempt is made to generate typical weather years for the cities of Dhahran, Riyadh, Jeddah, Khamis-Mushayt and Hail, using the standard meteorological data obtained by measurements by the Meteorology and Environmental Protection Administration.

Suggested Citation

  • Said, S.A.M. & Kadry, H.M., 1994. "Generation of representative weather--Year data for Saudi Arabia," Applied Energy, Elsevier, vol. 48(2), pages 131-136.
    • Handle: RePEc:eee:appene:v:48:y:1994:i:2:p:131-136
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    Cited by:

    1. Cui, Ying & Yan, Da & Hong, Tianzhen & Xiao, Chan & Luo, Xuan & Zhang, Qi, 2017. "Comparison of typical year and multiyear building simulations using a 55-year actual weather data set from China," Applied Energy, Elsevier, vol. 195(C), pages 890-904.
    2. Zang, Haixiang & Xu, Qingshan & Bian, Haihong, 2012. "Generation of typical solar radiation data for different climates of China," Energy, Elsevier, vol. 38(1), pages 236-248.
    3. Zhou, Jin & Wu, Yezheng & Yan, Gang, 2006. "Generation of typical solar radiation year for China," Renewable Energy, Elsevier, vol. 31(12), pages 1972-1985.
    4. Pusat, Saban & Ekmekçi, İsmail & Akkoyunlu, Mustafa Tahir, 2015. "Generation of typical meteorological year for different climates of Turkey," Renewable Energy, Elsevier, vol. 75(C), pages 144-151.
    5. Bulut, Hüsamettin, 2004. "Typical solar radiation year for southeastern Anatolia," Renewable Energy, Elsevier, vol. 29(9), pages 1477-1488.
    6. Pedersen, Linda, 2007. "Use of different methodologies for thermal load and energy estimations in buildings including meteorological and sociological input parameters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(5), pages 998-1007, June.
    7. Huang, Kuo-Tsang, 2020. "Identifying a suitable hourly solar diffuse fraction model to generate the typical meteorological year for building energy simulation application," Renewable Energy, Elsevier, vol. 157(C), pages 1102-1115.
    8. Jiang, Yingni, 2010. "Generation of typical meteorological year for different climates of China," Energy, Elsevier, vol. 35(5), pages 1946-1953.

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