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Numerical and Experimental Study of an Under-Ground Water Reservoir, Cistern

Author

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  • S. M. A. Najafi

    (Shiraz University)

  • M. Yaghoubi

    (Shiraz University
    The Academy of Science of IR Iran)

Abstract

This article presents experimental and numerical study of an under-ground water reservoir (cistern) during six months operation in a semi-arid region. The cistern with one dome, four windcatchers and a water reservoir is located in Lar, a hot arid city at south of Iran. Outdoor and indoor air temperature and humidity, water temperature in three depths and dome surface temperature were measured using a data logging system. The results show that the average air humidity inside the cistern was almost constant during the experiments but its slight variation during a day follows inside air temperature changes. The inside air temperature was always lower than the ambient temperature and inside and outside average air temperature difference was about 6 °C. The difference was slightly higher in the hot seasons. The water reservoir was also modeled in 2D, axisymmetric and quasi steady numerical simulation for six months of operation. Highly stratified water temperature distribution was observed in the numerical results as well as the experimental measurements.

Suggested Citation

  • S. M. A. Najafi & M. Yaghoubi, 2017. "Numerical and Experimental Study of an Under-Ground Water Reservoir, Cistern," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(6), pages 1881-1897, April.
    • Handle: RePEc:spr:waterr:v:31:y:2017:i:6:d:10.1007_s11269-017-1617-6
    DOI: 10.1007/s11269-017-1617-6
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    References listed on IDEAS

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    1. Abdoulkarim Esmaeili & Solmaz Vazirzadeh, 2009. "Water Pricing for Agricultural Production in the South of Iran," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(5), pages 957-964, March.
    2. Razavi, M. & Dehghani-sanij, A.R. & Khani, M.R. & Dehghani, M.R., 2015. "Comparing meshless local Petrov–Galerkin and artificial neural networks methods for modeling heat transfer in cisterns," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 521-529.
    3. Yaghoubi, M.A., 1991. "Air flow patterns around domed roof buildings," Renewable Energy, Elsevier, vol. 1(3), pages 345-350.
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