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FLOW AND HEAT TRANSFER AROUND AND THROUGH AN ISOLATED HIGH-RISE BUILDING BASED ON NIGHT VENTILATION AND THERMAL MASS

Yan Liu
School of Architecture, Xi'an University of Architecture and Technology, Xi'an, Shaanxi 710055, P.R. China

Liu Yang
School of Architecture, Xi'an University of Architecture and Technology, Xi'an, Shaanxi 710055, P.R. China

Shiyang Li
Key Laboratory of Thermal-fluid Science and Engineering, Ministry of Education, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, PR China

Jian Yang
Key Laboratory of Thermo-Fluid Science and Engineering, Ministry of Education, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an, 710049, China

Qiu-Wang Wang
Key Laboratory of Thermo-Fluid Science and Engineering, Ministry of Education, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, P.R. China

DOI: 10.1615/TFEC2017.cfn.017487
pages 221-235

要約

Recently, more and more attention is paid on passive building design strategies, including night ventilation. In the present paper, a numerical study is presented to investigate unsteady flow and heat transfer around and through an isolated high-rise building (with a 1:1:2 shape) based on night ventilation and thermal mass. With the aid of computational fluid dynamics (CFD), a three-dimensional unsteady mathematical model is established to describe wind flow around and through an isolated high-rise building. Inside the building, the Brinkman-Forchheimer extended Darcy model and the local thermal non-equilibrium (LTNE) model are employed for the first time, to describe flow and heat transfer between air ventilation and thermal mass. The renormalization group theory (RNG) k-ε model and the scalable wall function are employed in the turbulence modeling. The reliability of the mathematical model is validated with published wind tunnel experimental data as well as simulation results. After that, flow and heat transfer characteristic, cooling effects of night ventilation are obtained. The effects of three key parameters: airflow velocity, airflow temperature and porosities of the building are investigated in detail. The whole numerical analysis contributes towards a better understanding and evaluation of the night ventilation.

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