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An analysis of meteorological parameters influencing solar drying systems in Algeria using the isopleth chart technique

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  • Benseddik, A.
  • Azzi, A.
  • Chellali, F.
  • Khanniche, R.
  • Allaf, k.

Abstract

In the current contribution identifications of different climate areas existing in Algeria, as categorized by Borel [1], are made. Meteorological parameters that have direct impact on solar dryer design were modelled and performances were explored and extracted from a database established by a software package named Meteonorm®. More particularly, interest was made on parameters of utmost importance namely, solar irradiation intensity, ambient temperature and air relative humidity. A so called isopleth charts showing clearly contrasts existing between different studied sites were plotted. They also provided solid bases to solar drier designer in Algeria. Also the concept of PDF (Probability Density Function) was introduced to estimate the distribution of different variables.

Suggested Citation

  • Benseddik, A. & Azzi, A. & Chellali, F. & Khanniche, R. & Allaf, k., 2018. "An analysis of meteorological parameters influencing solar drying systems in Algeria using the isopleth chart technique," Renewable Energy, Elsevier, vol. 122(C), pages 173-183.
    • Handle: RePEc:eee:renene:v:122:y:2018:i:c:p:173-183
    DOI: 10.1016/j.renene.2018.01.111
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    References listed on IDEAS

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    1. Jamil, M. & Parsa, S. & Majidi, M., 1995. "Wind power statistics and an evaluation of wind energy density," Renewable Energy, Elsevier, vol. 6(5), pages 623-628.
    2. Himri, Y. & Himri, S. & Boudghene Stambouli, A., 2009. "Assessing the wind energy potential projects in Algeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 2187-2191, October.
    3. Sajjad Abedi & Gholam Riahy & Seyed Hossein Hosseinian & Mehdi Farhadkhani, 2013. "Improved Stochastic Modeling: An Essential Tool for Power System Scheduling in the Presence of Uncertain Renewables," Chapters, in: Hasan Arman & Ibrahim Yuksel (ed.), New Developments in Renewable Energy, IntechOpen.
    4. Himri, Y. & Rehman, S. & Agus Setiawan, A. & Himri, S., 2012. "Wind energy for rural areas of Algeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2381-2385.
    5. Chellali, Farouk & Khellaf, Adballah & Belouchrani, Adel & Recioui, Abdelmadjid, 2011. "A contribution in the actualization of wind map of Algeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(2), pages 993-1002, February.
    6. Youcef Ettoumi, F. & Mefti, A. & Adane, A. & Bouroubi, M.Y., 2002. "Statistical analysis of solar measurements in Algeria using beta distributions," Renewable Energy, Elsevier, vol. 26(1), pages 47-67.
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