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Multi-dimensional optimization of the incorporation of PCM-drywalls in lightweight steel-framed residential buildings in different climates

机译:多维优化在不同气候下轻质钢结构住宅建筑中PCM干墙的纳入

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摘要

This paper evaluates the impact of PCM-drywalls in the annual and monthly heating and cooling energy savings of an air-conditioned lightweight steel-framed (LSF) residential single-zone building, considering real-life conditions and several European climates. A multi-dimensional optimization study is carried out by combining EnergyPlus and GenOpt tools. The CondFD-algorithm is used in EnergyPlus to simulate phase-changes. For the optimization, the PSOCC-algorithm is used considering a set of predefined discrete construction solutions. These variables are related with the thermophysical properties of the PCM (enthalpy-temperature and thermal conductivity-temperature functions), solar absortance of the inner surfaces, thickness and location of the PCM-drywalls. Several parameters are included in the model mainly those related with the air-conditioned set-points, air-infiltration rates, solar gains, internal gains from occupancy, equipment and lighting. Indices of energy savings for heating, cooling and for both heating and cooling are defined to evaluate the energy performance of the PCM-enhanced rooms. Results show that an optimum solution can be found for each climate and that PCMs can contribute for the annual heating and cooling energy savings. PCM-drywalls are particularly suitable for Mediterranean climates, with a promising energy efficiency gain of about 62% for the Csb-Coimbra climate. As for the other climates considered, values of about 10% to 46% were obtained.
机译:本文考虑了现实生活条件和几种欧洲气候,评估了PCM干式墙对空调轻型钢架(LSF)住宅单区建筑每年和每月节省的供热和制冷能源的影响。通过结合EnergyPlus和GenOpt工具进行了多维优化研究。 CondFD算法在EnergyPlus中用于模拟相变。为了进行优化,考虑了一组预定义的离散构造解决方案,使用了PSOCC算法。这些变量与PCM的热物理性质(焓-温度和热导率-温度函数),内表面的日照率,PCM干式墙的厚度和位置有关。该模型中包括几个参数,主要是与空调设定点,空气渗透率,太阳能增益,居住,设备和照明的内部增益有关的参数。定义了加热,冷却以及加热和冷却的节能指标,以评估PCM增强型房间的能源性能。结果表明,可以找到针对每种气候的最佳解决方案,PCM可以为每年节省供暖和制冷能源做出贡献。 PCM干式墙特别适用于地中海气候,对于Csb-Coimbra气候,其节能潜力有望提高约62%。至于考虑的其他气候,则获得了大约10%至46%的值。

著录项

  • 来源
    《Energy and Buildings》 |2014年第2期|411-421|共11页
  • 作者单位

    MIT-Portugal Program, University of Coimbra-Energy for Sustainability Initiative, Coimbra, Portugal,ADAI-LAETA, Mechanical Engineering Department, University of Coimbra, Coimbra, Portugal,ISISE, Civil Engineering Department, University of Coimbra, Coimbra, Portugal;

    ADAI-LAETA, Mechanical Engineering Department, University of Coimbra, Coimbra, Portugal;

    ISISE, Civil Engineering Department, University of Coimbra, Coimbra, Portugal;

    ADAI-LAETA, Mechanical Engineering Department, University of Coimbra, Coimbra, Portugal;

  • 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

    Phase change materials; PCM; Thermal energy storage; Building energy simulation; Light steel framing; Energy efficiency; Optimization;

    机译:相变材料;PCM;热能储存;建筑能耗模拟;轻钢框架;能源效率;优化;

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