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Thermal and energy performance investigation of a smart double skin facade integrating vanadium dioxide through CFD simulations

机译:通过CFD模拟研究集成了二氧化钒的智能双层外墙的热能性能指标

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摘要

Double skin facades (DSFs) are known by their capacity to generate a natural heating energy during winter by increasing the greenhouse effect in the air cavity between the inner and the outer facade. However, this effect provides an undesirable overheating during summer. In this study, a smart DSF configuration able to control the greenhouse effect generation was numerically simulated using a two dimensional Computational Fluid Dynamic (CFD) method. The aim of these simulations is to investigate the thermal and the energetic behavior of a DSF integrating Tungsten (W) doped Vanadium dioxide (VO2) as an optically smart thin material and a high absorbing aluminum nitride (AlN) coating. A parametric study was carried out in order to analyze the impact of the air cavity thickness on the smart DSF behavior. Four thicknesses (10, 25, 50 and 75 mm) were inspected and compared with an uninsulated massive wall configuration. Results have shown that the smart configuration reduces significantly both heating and cooling loads. Indoor surface temperature has been decreased by around 2 degrees C during summer and increased by around 3 degrees C during a sunny winter day. The air velocity results have shown that the natural convection-radiation interaction during winter is higher than during summer. Thus, the new smart DSF configuration presented in this paper can effectively control the greenhouse effect depending on extemal climatic conditions.
机译:双层外墙(DSF)以其在冬季通过增加内外墙之间空气腔中的温室效应而产生自然热能的能力而闻名。但是,这种效果在夏季会产生不希望的过热现象。在这项研究中,使用二维计算流体动力学(CFD)方法对能够控制温室效应产生的智能DSF配置进行了数值模拟。这些模拟的目的是研究DSF集成了钨(W)掺杂的二氧化钒(VO2)作为光学智能薄材料和高吸收氮化铝(AlN)涂层的热学和高能行为。为了分析气孔厚度对智能DSF行为的影响,进行了参数研究。检查了四种厚度(10、25、50和75毫米),并将其与未隔热的大墙构造进行了比较。结果表明,智能配置可显着减少加热和冷却负荷。在夏季,室内表面温度下降了约2摄氏度,在阳光明媚的冬日期间,室内表面温度上升了约3摄氏度。空气速度结果表明,冬季的自然对流-辐射相互作用高于夏季。因此,本文提出的新型智能DSF配置可以根据外部气候条件有效控制温室效应。

著录项

  • 来源
    《Energy Conversion & Management》 |2019年第9期|650-671|共22页
  • 作者单位

    Univ Moulay Ismail, LEM2A, Ecole Super Technol Meknes, Km 5,Route Agouray,N6, Meknes 50040, Morocco;

    USMBA, Ecole Super Technol Fes, Route Imouzzer BP 2427, Fes, Morocco;

    Univ Moulay Ismail, LEM2A, Ecole Super Technol Meknes, Km 5,Route Agouray,N6, Meknes 50040, Morocco;

    Univ Moulay Ismail, LEM2A, Ecole Super Technol Meknes, Km 5,Route Agouray,N6, Meknes 50040, Morocco;

    Univ Moulay Ismail, LEM2A, Ecole Super Technol Meknes, Km 5,Route Agouray,N6, Meknes 50040, Morocco;

    Univ Moulay Ismail, LEM2A, Ecole Super Technol Meknes, Km 5,Route Agouray,N6, Meknes 50040, Morocco;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Smart DSF; Thermochromic materials; CFD simulations; Heating and cooling loads; Energy efficiency;

    机译:智能DSF;热致变色材料;CFD模拟;加热和冷却负荷;能效;

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