Comparison of building performance between Conventional House and Passive House in the UK
Comparison of building performance between Conventional House and Passive House in the UK
复制标题
英国传统住宅与被动式住宅建筑性能比较
DOI：
10.1016/j.egypro.2017.12.570
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Liang X
中科院分区：
文献类型：
--
作者：
Liang X
本文介绍了英格兰东北部一个传统住宅和一个被动式住宅一年多来的建筑性能监测。这两种房屋在建筑结构、通风和蓄热类型、不同能源的使用以及居民居住方面的不同导致了不同的建筑节能性能和室内空气质量。根据测量数据，传统住宅及被动式住宅的一次能源需求分别为169. 85千瓦时╱（m2a）及64. 11千瓦时╱（m2a），而两个物业的年平均室内温度分别维持于17. 7 °C及22. 0 °C。利用DesignBuilder软件对传统住宅采用被动式改造方法改善其能耗和室内环境性能进行了模拟研究，旨在降低住宅的一次能源需求和采暖需求，提高其综合室内空气环境性能。利用实测数据对DesignBuilder模型进行了验证，并对传统住宅改造后的性能进行了预测，并与被动式住宅进行了比较。结果表明，与目前的状况相比，空间供暖需求减少了约80%。研究结果表明，在英格兰北方，采用被动节能方法对传统房屋进行改造具有巨大的潜力。
The building performance monitored over one year of a Conventional House and a Passive House in North East England is presented in this paper. These two houses which differ in building fabric, the type of ventilation and thermal storage, the use of different energy and residents’ occupancy result in distinct building energy performance and indoor air quality. According to the measurement data, the primary energy demand of the Conventional House and Passive House were 169.85 kWh/(m2a) and 64.11 kWh/(m2a) while the annual average indoor temperature of the two properties maintained at 17.7°C and 22.0°C, respectively. A simulation study was conducted by DesignBuilder software to improve the Conventional House’s energy and indoor environmental performance using passive retrofitting methods, aiming to reduce the primary energy demand, the space heating demand of the property and enhance its general indoor air environmental performance. The DesignBuilder models were validated by monitored data and used to predict the performance of the Conventional House after retrofitting, and then compared it with the Passive House. The results indicate the reduction of space heating demand is by about 80% compared to its current status. The findings showed that there was a huge potential for conventional house retrofitting using passive energy saving methods in northern England.
复杂现象的误差分析和模拟
DOI：
--
发表时间：
2005
期刊：
影响因子：
--
作者：
M. Christie;J. Glimm;J. Grove;D. Higdon;D. Sharp;Merri Wood
通讯作者：
Merri Wood
使用被动方法减少家庭能源消耗
DOI：
10.1016/j.egypro.2015.07.203
发表时间：
2015
期刊：
Energy Procedia
影响因子：
--
作者：
Liang X
通讯作者：
Liang X
影响因子：
15.9
作者：
Yang Xie;Gilmour;Yanping Yuan;H. Jin;Hongwei Wu
通讯作者：
Hongwei Wu