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Impact of adaptive thermal comfort criteria on building energy use and cooling equipment size using a multi-objective optimization scheme

机译:使用多目标优化方案的自适应热舒适标准对建筑能耗和制冷设备尺寸的影响

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摘要

Recently adaptive thermal-comfort criteria have been introduced in the international indoor-climat standards to reduce the heating/cooling energy requirements. In 2008, the Finnish Society of Indoc Air Quality (FiSIAQ) developed the national adaptive thermal-comfort criteria of Finland. The cui rent study evaluates the impact of the Finnish Criteria on energy performance in an office buildinj Two fully mechanically air-conditioned single offices are taken as representative zones. A simulation based optimization scheme (a combination of IDA-ICE 4.0 and a multi-objective genetic-algorithm fror MATLAB-2008a) is employed to determine the minimum primary energy use and the minimum roor cooling-equipment size required for different thermal comfort levels. The applicability of implemeni ing energy-saving measures such as night ventilation, night set-back temperature, day lighting as we as optimal building envelope and optimal HVAC settings are addressed by investigating 24 design vari ables. The results show that, on average, an additional 10 kWh/(m2 a) primary energy demand and a large 10W/m2 room cooling-equipment size are required to improve the thermal comfort from medium (S5 to high-quality (SI) class;higher thermal comfort levels limit the use of night ventilation and wate radiator night-set back options. Compared with the ISO EN 7730-2005 standard, the Finnish criterio could slightly decrease the heating/cooling equipment size. However, it significantly increases both th heating and cooling energy demand;the results show 32.8% increase in the primary energy demand, is concluded that the Finnish criterion-2008 is strict and does not allow for energy-efficient solutions i standard office buildings.
机译:最近,在国际室内气候标准中引入了自适应的热舒适标准,以减少加热/冷却能量的需求。 2008年,芬兰Indoc空气质量协会(FiSIAQ)制定了芬兰的国家适应性热舒适标准。 cui rent研究评估了芬兰标准对办公楼能源绩效的影响。以两个全机械空调的单个办公楼为代表区域。采用基于仿真的优化方案(IDA-ICE 4.0和MATLAB-2008a的多目标遗传算法的组合)来确定不同的热舒适水平所需的最小一次能源使用量和最小的室内冷却设备尺寸。通过调查24个设计变量来解决实施节能措施(如夜间通风,夜间后退温度,白天照明)的适用性,以此作为我们最佳的建筑围护结构和最佳的HVAC设置。结果表明,平均需要增加10 kWh /(m2 a)的一次能源需求和10W / m2的大房间制冷设备尺寸,才能将中等(S5)等级提高到高质量(SI)等级;较高的热舒适度限制了夜间通风和水箱散热器夜间回位的使用;与ISO EN 7730-2005标准相比,芬兰criterio可以略微减小加热/冷却设备的尺寸,但是,这大大增加了供暖和制冷能源需求;结果表明,一次能源需求增长了32.8%,得出的结论是,芬兰2008年标准严格,不允许在标准办公大楼中使用节能解决方案。

著录项

  • 来源
    《Energy and Buildings》 |2011年第9期|p.2055-2067|共13页
  • 作者单位

    Aalto University, School of Engineering. Department of Energy Technology, P.O. Box 14400, FI-00076 Aalto, Finland;

    Aalto University, School of Engineering. Department of Energy Technology, P.O. Box 14400, FI-00076 Aalto, Finland;

    Aalto University, School of Engineering. Department of Energy Technology, P.O. Box 14400, FI-00076 Aalto, Finland;

  • 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

    thermal comfort; adaptive approach; primary energy; cooling equipment size; simulation; multi-objective optimization;

    机译:热舒适度;适应性方法;一次能源冷却设备尺寸;模拟;多目标优化;
  • 入库时间 2022-08-18 00:10:15

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