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Solar irradiation in diffusely enclosures with partitions

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  • Miguel, A.F.
  • Silva, A.

Abstract

This paper presents an approach to obtain the income of solar irradiation within partitioned enclosures partially transparent to solar radiation. This model is mathematically exact and it is function of the outside solar irradiation, the orientation of the enclosure, the properties of the enclosure envelope, the geometry and properties of partitions. From the physical point of view it is founded on the assumption that the envelope and partitions surfaces are fully diffusive and that the radiation diffused through the atmosphere is fully isotropic. The model was applied to assess the solar irradiation at the ground of a hemicylindrical tunnel fitted with inclined partitions. The results of this study demonstrate, among other things, that: (i) the solar irradiation inside the enclosure, with any cladding material and with any orientation, is mainly determined by the transmittance of the partitions and to a lesser extent by its reflectance, (ii) the solar radiation inside an enclosure with highly transparent partitions (i.e., transmittance > 0.5) is noticeable influenced by its orientation, but for a lower transmittance the influence of orientation becomes negligible; and (iii) to prevent the overheating within the enclosure it is advisable to install partitions with a low transmittance and a high absorptance on their surface facing downward.

Suggested Citation

  • Miguel, A.F. & Silva, A., 2010. "Solar irradiation in diffusely enclosures with partitions," Applied Energy, Elsevier, vol. 87(3), pages 836-842, March.
    • Handle: RePEc:eee:appene:v:87:y:2010:i:3:p:836-842
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    References listed on IDEAS

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    1. Munawwar, Saima & Muneer, Tariq, 2007. "Statistical approach to the proposition and validation of daily diffuse irradiation models," Applied Energy, Elsevier, vol. 84(4), pages 455-475, April.
    2. Muneer, Tariq & Asif, Muhammad & Munawwar, Saima, 2005. "Sustainable production of solar electricity with particular reference to the Indian economy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 9(5), pages 444-473, October.
    3. Jiang, Yingni, 2009. "Estimation of monthly mean daily diffuse radiation in China," Applied Energy, Elsevier, vol. 86(9), pages 1458-1464, September.
    4. Muneer, T. & Younes, S., 2006. "The all-sky meteorological radiation model: proposed improvements," Applied Energy, Elsevier, vol. 83(5), pages 436-450, May.
    5. Nafey, Abmed Safwat, 2005. "Simulation of solar heating systems--an overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 9(6), pages 576-591, December.
    6. Senkal, Ozan & Kuleli, Tuncay, 2009. "Estimation of solar radiation over Turkey using artificial neural network and satellite data," Applied Energy, Elsevier, vol. 86(7-8), pages 1222-1228, July.
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    1. Ouammi, Ahmed & Zejli, Driss & Dagdougui, Hanane & Benchrifa, Rachid, 2012. "Artificial neural network analysis of Moroccan solar potential," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4876-4889.

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