首页> 外文会议>International Conference on Applied Energy >Comparison of building performance between Conventional House and Passive House in the UK
【24h】

Comparison of building performance between Conventional House and Passive House in the UK

机译:英国传统房屋与被动屋的建筑绩效比较

获取原文

摘要

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/(m~2a) and 64.11 kWh/(m~2a) 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.
机译:本文提出了一年多个传统房屋和东北地区被动房屋的建筑绩效。这两个房屋在建筑面料,通风类型和热储存的类型,不同能量和居民的占用率的使用导致不同的建筑能源性能和室内空气质量。根据测量数据,传统房屋和被动房屋的主要能量需求为169.85千瓦时/(m〜2a)和64.11千瓦时/(m〜2a),而两种性能的年平均室内温度保持在17.7°C分别为22.0°C。 DesignBuilder软件进行了模拟研究,采用无源改装方法改善了传统的房屋的能源和室内环境性能,旨在降低主要能源需求,该性能的空间加热需求,增强其通用室内空气环境性能。通过监控数据验证了DesignBuilder模型,并用来预测改装后传统房屋的性能,然后将其与被动房屋进行比较。结果表明,与其当前状态相比,空间加热需求的降低约为80%。研究结果表明,在英格兰北部的无源节能方法中,传统房屋改装的巨大潜力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号