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Comparative analysis of Passivhaus simulated and measured overheating frequency in a typical dwelling in Ireland
Building Research & Information ( IF 3.7 ) Pub Date : 2019-12-10 , DOI: 10.1080/09613218.2019.1691490
Evan Finegan 1 , Gerard Kelly 2 , Garrett O’Sullivan 1
Affiliation  

ABSTRACT Passive House Planning Package (PHPP) simulations are crucial in balancing a reduced space heat demand and reduced overheating in Passivhaus dwellings. This paper identifies the PHPP simulated overheating frequency (OF) for a dwelling in Douglas, Cork, Ireland, constructed in 2015. The measured indoor temperature is also recorded over a 12-month period. A comparative analysis of measured and simulated overheating is carried out, with two overheating thresholds of 25°C and 24°C. The simulation estimates an OF of 0.00%, for a typical year (at 25°C). The simulation relies on a dwelling average temperature, where the equivalent measured OF for the test year is 2.64%, derived from a volume-weighted mean indoor temperature (T vm). At a reduced threshold of 24°C, the measured OF is 4.67%. Measurements within 6 independent zones identify 52.61% of readings above 25°C are eliminated by using T vm. The representation of overheating as a percentage of the year is shown to distort the effect of overheating, while the T vm value overlooks variations in zonal temperature. This paper recommends that a more robust assessment tool is developed within PHPP, to predict OF for passive house dwellings, while adopting this methodology for dwellings of Nearly Zero Energy Buildings (nZEB) standard.

中文翻译:

Passivhaus 模拟和测量的爱尔兰典型住宅过热频率的比较分析

摘要 被动式房屋规划包 (PHPP) 模拟对于平衡减少的空间热需求和减少被动式住宅的过热至关重要。本文确定了 2015 年建造的爱尔兰科克道格拉斯住宅的 PHPP 模拟过热频率 (OF)。测量的室内温度也记录了 12 个月的时间。对测量的和模拟的过热进行了比较分析,两个过热阈值分别为 25°C 和 24°C。模拟估计典型年份(25°C)的 OF 为 0.00%。模拟依赖于住宅平均温度,其中测试年份的等效测量 OF 为 2.64%,源自体积加权平均室内温度 (T vm)。在 24°C 的降低阈值下,测得的 OF 为 4.67%。6 个独立区域内的测量确定了 52 个。使用 T vm 消除了 61% 高于 25°C 的读数。过热占一年的百分比表示会扭曲过热的影响,而 T vm 值忽略了区域温度的变化。本文建议在 PHPP 中开发更强大的评估工具,以预测被动式住宅的 OF,同时对接近零能耗建筑 (nZEB) 标准的住宅采用这种方法。
更新日期:2019-12-10
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