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Change of climate data over 37 years in Hong Kong and the implications on the simulation-based building energy evaluations

Siwei Lou, Danny H.W. Li, Yu Huang*, Xiaoqing Zhou, Dawei Xia, Yang Zhao

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

The weather data is essential to simulation-based building energy studies. The weather data should render the features of the changing climate. The typical meteorological year (TMY) developments using the long-term climate data, however, may weaken the impact of the recent climate change and the corresponding building energy responses. This paper studies the changes of the climate data (by ground measurements) and their impacts on the simulation results of the subtropical Hong Kong over 37 years. The climate changes for solar radiation, temperature and wind speed were summarised, and their daily total, average, extreme, and/or deviation values were presented. The typical weather data developed by the ground measurements of different times and period lengths (within the 37 years) determined the cooling load of a representative building in the Hong Kong, and the outcomes were compared to that of the yearly data. The period (length) of the raw measurements and the update frequency of TMY were optimized for the building energy simulations in the changing climate.
Original languageEnglish
Article number110062
JournalEnergy and Buildings
Volume222
Online published11 May 2020
DOIs
Publication statusPublished - 1 Sept 2020

Research Keywords

  • Building energy simulation
  • Climate change
  • Typical weather data

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