Performance analysis of solar chimney using mathematical and experimental approaches

P. M. Sivaram, Sivasankaran Harish, M. Premalatha, A. Arunagiri

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    11 Citations (Scopus)


    A mathematical model based on one-dimensional energy and mass balance across the solar chimney has been developed. The air flow characteristics such as exit velocity and temperature are evaluated with respect to the collector inclination angle, hourly solar radiation, ambient temperature, and wind speed. The model is validated by comparing the performance parameters obtained, with the experimental results and also with the experimental data of different geometrical range and environmental conditions from the literature. An average deviation of 8% for exit air velocity and 1.35% for exit air temperature is obtained for the solar chimney with absorber inclination angle 30°, collector area 0.41 m2, and chimney height 0.24 m. The experimental daily average and maximum exit air velocity during the month of April are 0.5 and 0.88 m/s, respectively. The predicted optimum operating conditions are 75° inclination angle, 0.63 m2 absorber area, and 0.48-m chimney height. The maximum average exit air velocity and temperature numerically obtained are 0.64 m/s and 331 K, respectively, when operating with optimum conditions. It is observed that the exit air velocity increases 33% by increasing the absorber area from 0.5 to 3 m2 for a solar chimney with 0.5 m height. An increase in exit air velocity of 52% was obtained by increasing the chimney height from 0.5 to 3 m for a solar chimney with 0.64 m2 absorber area. A reduction in exit air velocity of 4% was observed for the increment in wind flow over the glass cover from 1.5 to 3 m/s. These results confirm that the solar chimney could be designed based on the predicted monthly performance by the present model.

    Original languageEnglish
    Pages (from-to)2373-2385
    Number of pages13
    JournalInternational Journal of Energy Research
    Issue number7
    Publication statusPublished - Jun 10 2018

    All Science Journal Classification (ASJC) codes

    • Renewable Energy, Sustainability and the Environment
    • Nuclear Energy and Engineering
    • Fuel Technology
    • Energy Engineering and Power Technology


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