...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Building and Environment >Identifying temporal properties of building components and indoor environment for building performance assessment
【24h】

Identifying temporal properties of building components and indoor environment for building performance assessment

机译：识别建筑组件和室内环境的时间特性，用于建立性能评估

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Buildings are dynamic thermal systems that require energy to maintain a comfortable indoor environment. Knowing these dynamics allows for identifying relevant building characteristics for assessing building energy performance. However, conventional building simulation programs take daily or monthly mean values for performance assessment. These often aggregate the errors and uncertainties between the theoretical and the actual building performance while missing the temporal dynamics on a minute or hourly basis. The objective of this study is to uncover the temporal aspects of building properties using data obtained by a wireless sensor network (WSN). Our analysis focuses on the following seven variables that are relevant for assessing building performance and retrofit measures: indoor air temperature, window opening instances, CO2 concentration, supply temperature from the heating system, outdoor air temperature, heat flux through the wall and the window. Using a singlefamily residence as a case study, we identify the temporal dynamics of these variables using polar plots on a high-resolution, 5-minute interval dataset. Following this, we define a set of conditional rules to study `expected' and `unexpected' impact of the six variables on the indoor air temperature. We observe strong temporal dynamics for certain building components, resulting in a large time lag. The conditional rule analysis also allows identifying energy saving potentials and factors contributing to the performance gap. For example, we observe high indoor air temperatures and at times when no occupants are present. Finally, we discuss the benefits of this approach with respect to building retrofit and energy performance gap analysis.
机译：建筑物是需要能量以维持舒适的室内环境的动态热系统。了解这些动态允许识别用于评估建筑能量性能的相关建筑特性。但是，传统的建筑模拟程序每天或每月平均值进行性能评估。这些通常会在理论和实际建筑性性能之间汇总错误和不确定性，同时在一分钟或小时内缺少时间动态。本研究的目的是使用由无线传感器网络（WSN）获得的数据揭示建筑物特性的时间方面。我们的分析侧重于以下七个变量，该七个变量与评估建筑性能和改造措施：室内空气温度，窗口开口实例，CO2浓度，来自加热系统的供应温度，室外空气温度，通过墙壁和窗口的热通量。使用SingleCamily Residence作为案例研究，我们使用高分辨率5分钟的间隔数据集使用极性图来确定这些变量的时间动态。在此之后，我们定义了一组条件规则，以研究“预期”和“意外”影响六个变量对室内空气温度。我们观察某些建筑组件的强烈时间动态，导致大型时间滞后。条件规则分析还允许识别节能潜力和有助于性能差距的因素。例如，我们观察高室内空气温度，有时没有存在乘客。最后，我们讨论了这种方法对建筑改造和能量性能差距分析的益处。

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