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نویسندگان مقالات پربازدید :
مهندسی حرارتی کاربردی
جزئیات رویداد
اینستاگرام تی پی بین
همایش ، رویداد ، ژورنال
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  • numerical investigations of buoyancy-driven natural ventilation in a simple atrium building and its effect on the thermal comfort conditions

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    • تاریخ ارائه: 1392/01/01
    • تاریخ انتشار در تی پی بین: 1392/01/01
    • تعداد بازدید: 591
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    • شماره تماس دبیرخانه رویداد: -
     in the present study use of solar-assisted buoyancy-driven natural ventilation in a simple atrium building is explored numerically with particular emphasis on the thermal comfort conditions in the building. initially various geometric configurations of the atrium space were considered in order to investigate airflows and temperature distributions in the building using a validated computational fluid dynamics (cfd) model. the reynolds averaged navier–stokes (rans) modelling approach with the sst-k–ω turbulence model and the discrete transfer radiation model (dtrm) was used for the investigations. the steady-state governing equations were solved using a commercial cfd solver fluent©. from the numerical results obtained, it was noted that an atrium space integrated with a solar chimney would be a relatively better option to be used in an atrium building. in the geometry selected, the performance of the building in response to various changes in design parameters was investigated. the produced airflows and temperature distributions were then used to evaluate indoor thermal comfort conditions in terms of the thermal comfort indices, i.e. the well-known predicted mean vote (pmv) index, its modifications especially for natural ventilation, predicted percent dissatisfied (ppd) index and percent dissatisfied (pd) factor due to draft. it was found that the thermal conditions in the occupied areas of the building developed as a result of the use of solar-assisted buoyancy-driven ventilation for the particular values of the design parameters selected are mostly in the comfortable zone. finally, it is demonstrated that the proposed methodology leads to reliable thermal comfort predictions, while the effect of various design variables on the performance of the building is easily recognized.

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