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Balancing daylight and overheating in low-energy design using CIBSE improved weather files
Building Services Engineering Research and Technology ( IF 1.7 ) Pub Date : 2019-11-14 , DOI: 10.1177/0143624419889057
Eleonora Brembilla 1 , Christina J Hopfe 1 , John Mardaljevic 1 , Anastasia Mylona 2 , Eirini Mantesi 1
Affiliation  

A new set of CIBSE weather files for building performance simulation was recently developed to address the need for better quality solar data. These are essential for most building performance simulation applications, particularly for daylighting studies and low-energy building design, which requires detailed irradiation data for passive solar design and overheating risk analysis. The reliability of weather data becomes paramount when building performance is pushed to its limits. Findings illustrate how principles of good window design can be applied to a case study building, built to the Passivhaus standard, and how its expected performance is affected by the quality of solar irradiation data. Analyses using test reference years were most affected by changes in the solar radiation model (up to 8.3% points), whereas for design summer years the maximum difference was 1.7% points. Adopting the new model caused overheating risk to be classified as more severe using test reference years than design summer years, prompting a discussion on the design summer year selection method. Irradiance data measured on-site were used as a benchmark to evaluate the new solar radiation model, which was found to significantly improve the accuracy of irradiance data within weather files and so the reliability of overheating assessments. Practical application : CIBSE weather files are widely used for compliance verification of building performance in the UK context. This paper tests how the introduction of a new solar radiation model in weather files will affect daylighting and overheating simulation results. Examples are given on how low-energy building design considerations driven by advanced simulation techniques can help reaching indoor visual and thermal comfort requirements.

中文翻译:

使用CIBSE改进的天气文件在低能耗设计中平衡日光和过热

最近开发了一套新的用于建筑性能模拟的CIBSE气象文件,以满足对更高质量太阳能数据的需求。这些对于大多数建筑物性能模拟应用都是必不可少的,特别是对于日光研究和低能耗建筑物设计,这需要详细的辐射数据来进行被动太阳能设计和过热风险分析。当建筑性能达到极限时,天气数据的可靠性变得至关重要。研究结果说明了如何将良好的窗户设计原理应用于按Passivhaus标准建造的案例研究大楼,以及其预期性能如何受到太阳辐射数据质量的影响。使用测试参考年的分析受太阳辐射模型变化的影响最大(最高8.3%点),而在设计夏季,最大差异为1.7%。采用新模型时,使用测试参考年比设计夏令年将过热风险归为更严重,这引发了关于设计夏令年选择方法的讨论。现场测量的辐照度数据被用作评估新的太阳辐射模型的基准,发现该模型显着提高了天气文件中辐照度数据的准确性,从而提高了过热评估的可靠性。实际应用:CIBSE天气文件被广泛用于英国范围内建筑性能的符合性验证。本文测试了在天气文件中引入新的太阳辐射模型将如何影响采光和过热模拟结果。
更新日期:2019-11-14
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