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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模拟将二氧化钒含钒的智能双皮肤立面的热和能量性能研究

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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:通过增加内部和外部外观之间的空腔中的温室效应,通过增加冬季产生天然加热能量的能力,通过增加双重皮肤立面(DSF)。然而,这种效果在夏季提供了不希望的过热。在本研究中,使用二维计算流体动态(CFD)方法在数值模拟中模拟了一种能够控制温室效果产生的智能DSF配置。这些模拟的目的是研究DSF将钨(W)掺杂的二氧化钒(VO2)作为光学智能薄材料和高吸收氧化铝(ALN)涂层的热量和能量行为。进行参数研究,以分析空气腔厚度对智能DSF行为的影响。检查并将四个厚度(10,25,50和75mm)进行检查并与未绝缘的大量壁构型进行比较。结果表明,智能配置显着降低了加热和冷却载荷。在夏季,室内表面温度下降约2​​摄氏度,在阳光明媚的冬日期间增加了大约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,本文呈现的新智能DSF配置可以有效地控制温室效应,这取决于即将到来的气候条件。

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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