The effects of local microclimatic conditions of highly urban environment on hygrothermal performance of building envelopes

通常用作建筑物围护结构环境负荷指标的每小时天气数据并不总是足够的。研究表明，热-空气-水汽(HAM)输送模拟和计算的风致降雨(WDR)量和强度结果的准确性在很大程度上取决于气象输入数据的时间分辨率(BLocken等人，2007；BLocken和Carmeliet，2007)。强烈建议使用高分辨率数据(例如10分钟数据)以获得更准确的模拟结果。在Ryerson建立她的新研究项目时，与Ryerson新批准的建筑科学硕士课程(从2008年9月开始)相吻合，这位申请者计划将这些数据纳入研究Ham性能和建筑信封上的WRD分布，并进一步调查这样的假设。具体地说，本项目将采用实验和模拟相结合的方法，在至少三个季节内实时研究多伦多城市中心环境中存在的小气候环境荷载对各种外墙组件湿热性能的影响。它将比较基于现场获得的高分辨率数据的HAM性能模拟结果、基于机场气象站每小时数据的模拟结果以及实验数据。该项目将为7名建筑科学硕士学生提供为期5年的培训和研究工作，并为几名本科生提供参与机会。这项研究的结果将有助于扩大关于用于建筑性能模拟的天气数据的准确性和适当性的知识，这是加拿大和世界各地的研究人员提出的一个研究问题。

The hourly weather data that are usually used as indicators of environmental loadings on building envelopes are not always sufficient. Studies show that accuracy of the heat-air-moisture (HAM) transfer simulations and calculated wind driven rain (WDR) amounts and intensities results are, to a large extent, determined by the time resolution of the meteorological input data (Blocken et al, 2007; Blocken and Carmeliet, 2007). It is highly recommended that high-resolution data (e.g. 10-min data) be used for more accurate simulation results. In establishing her new research program at Ryerson that coincides with the development of Ryerson's newly approved Masters of Building Science (starting September 2008), this applicant is planning to include such data in studying HAM performance and WRD distribution on building envelopes, and further investigate such hypothesis. Specifically, this project will study the influence of microclimatic environmental loads that exists in urban downtown environment in the City of Toronto on hygrothermal performance of various exterior wall assemblies in real time, over at least 3 seasons, combining experimentation and simulation. It will compare results of HAM performance simulation based on high-resolution data acquired on site, simulation based on hourly data from the airport weather station and experimentation data. This project will provide training and research work for 7 Masters of Building Science students over 5 years, as well as opportunities for participation for several undergraduate students. The results of this research will contribute to expanding the knowledge on accuracy and appropriateness of weather data used in building performance simulation, a research question raised among researchers in Canada and worldwide.