The complete description of outdoor luminous and thermal environment is the basis for daylight utilization design with simulation tools. Nevertheless, Typical Meteorological Year (TMY) and generation method specifically developed for the energy simulation of daylight-utilized buildings is still unavailable currently. Luminous environment parameters have not been taken into consideration in existing TMY generation methods. In this study, the feasibility of existing TMY generation process has been examined. A generic office model implementing sided window daylighting is established. Historical meteorological data of Hong Kong from 1979 to 2007 have been collected and three existing weighting schemes are applied during the Typical Meteorological Month (TMM) selection procedures. Three TMY files for Hong Kong are generated and used to conduct integrated Climate-Based Daylight Modeling and building energy simulation. The result demonstrates that, on annual basis, the energy consumption results obtained from the generated TMY files are in good agreements with the long-term mean annual value. The maximum deviation of annual energy consumptions for the generated TMY files is only 1.8%. However, further analysis on monthly basis shows that all the three generated TMY files fail to fully represent the long-term monthly mean level. The maximum deviation of monthly energy consumptions for the generated TMY files can reach up to 11%. As the energy performance daylight utilization is subject to weather change, analysis on daily and monthly energy level is important, especially during design stage. The deficiency of existing TMM selection process and TMY generation method indicates the necessity to develop a corresponding typical weather data input with finer resolution for the energy simulation of daylight-related buildings.室外光环境和热环境的完整表征是利用模拟工具进行自然采光应用设计的基础,现阶段仍较为缺乏面向自然采光应用建筑能耗模拟所开发的典型气象年和生成方法,在现有典型气象年生成方法中未有纳入对光环境参数的考量。本研究考察了现有典型年生成方法对于自然采光能耗模拟的适用性,通过建立侧窗采光的办公建筑模型,利用所收集到的中国香港1979年至2007年的历史气象数据,在典型气象月筛选过程中采用三种加权方案,生成了三个典型气象年文件,用于进行基于气候的自然采光和建筑能耗模拟。结果表明,在年能耗水平上,使用生成的典型气象年文件所获得的能耗结果与长期平均年能耗数值较为一致,年最大偏差仅为1.8%。然而,针对月能耗结果的分析指出,使用所生成的三个典型气象年文件均不能获得全面代表长期月平均水平的能耗结果,月能耗最大偏差可高达11%。进一步分析指出,自然采光节能措施易受天气变化的影响,因此对其能耗性能水平进行日和月的评估将非常重要,尤其针对设计阶段。由于现有典型气象月筛选过程和典型气象年生成方法在此方面存在短板,有必要针对自然采光应用建筑的能耗模拟开发具有更精细时间尺度的典型气象输入数据文件.
CITATION STYLE
Sun, J., Li, Z., Li, C., & Feng, X. (2023). Effect of typical meteorological year selection on integrated daylight modeling and building energy simulation. Low-Carbon Materials and Green Construction, 1(1). https://doi.org/10.1007/s44242-023-00012-8
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