Analysis of Typical Meteorological Year selection for energy simulation of building with daylight utilization

Jingting Sun, Zhengrong Li, Fu Xiao

Research output: Journal article publicationConference articleAcademic researchpeer-review

9 Citations (Scopus)


Selecting suitable weather data is the premise of getting valid conclusion from building energy simulation. By analyzing the generation process of Typical Meteorological Year (TMY), this paper points out that existing well-accepted TMY generation methodologies mainly emphasis the thermal aspect of climatic environment during their typicality selecting process. Light aspect has not been taken into consideration. A case study is carried out to explore whether there would be a divergence of conclusion when conducting daylight-related simulations with different TMY data. Performance metrics including Daylight Factor (DF), Daylight Autonomy (DA), Useful Daylight Index (UDI) and daylight illuminance distribution have been compared. The result indicates that for static metric as DF, the variation between using different TMY data is insignificant. However, for dynamic metrics such as DA, UDI and illuminance distribution, the divergence is obvious. Researchers are suggested to take caution of this effect when comparing simulation conclusions from different studies.
Original languageEnglish
Pages (from-to)3080-3087
Number of pages8
JournalProcedia Engineering
Publication statusPublished - 1 Jan 2017
Event10th International Symposium on Heating, Ventilation and Air Conditioning, ISHVAC 2017 - Jinan, China
Duration: 19 Oct 201722 Oct 2017


  • Building energy simulation
  • Daylight utilization
  • Typical Meteorological Year

ASJC Scopus subject areas

  • Engineering(all)


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