Generation of a typical meteorological year for Hong Kong

Weather data can vary significantly from year to year. There is a need to derive typical meteorological year (TMY) data to represent the long-term typical weather condition over a year, which is one of the crucial factors for successful building energy simulation. In this paper, various types of typ...

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Bibliographic Details
Published inEnergy conversion and management Vol. 47; no. 1; pp. 87 - 96
Main Authors Chan, Apple L.S., Chow, T.T., Fong, Square K.F., Lin, John Z.
Format Journal Article
LanguageEnglish
Published Oxford Elsevier Ltd 2006
Elsevier
Subjects
Applied sciences
Building energy simulations
Devices using thermal energy
Energy
Energy. Thermal use of fuels
Exact sciences and technology
Finkelstein–Schafer statistics
Furnaces
Natural energy
Solar energy
Solar radiation
Typical meteorological year
Hong Kong
Asia
China
Typical meteorological year
Building energy simulations
Finkelstein–Schafer statistics
Wind
Temperature
Buildings
Dew point
Statistics
Statistical method
Weather
Finkelstein-Schafer statistics
Simulation
Distribution function
Solar radiation
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Summary:Weather data can vary significantly from year to year. There is a need to derive typical meteorological year (TMY) data to represent the long-term typical weather condition over a year, which is one of the crucial factors for successful building energy simulation. In this paper, various types of typical weather data sets including the TMY, TMY2, WYEC, WYEC2, WYEC2W, WYEC2T and IWEC were reviewed. The Finkelstein–Schafer statistical method was applied to analyze the hourly measured weather data of a 25-year period (1979–2003) in Hong Kong and select representative typical meteorological months (TMMs). The cumulative distribution function (CDF) for each year was compared with the CDF for the long-term composite of all the years in the period for four major weather indices including dry bulb temperature, dew point temperature, wind speed and solar radiation. Typical months for each of the 12 calendar months from the period of years were selected by choosing the one with the smallest deviation from the long-term CDF. The 12 TMMs selected from the different years were used for formulation of a TMY for Hong Kong.
ISSN:0196-8904
1879-2227
DOI:10.1016/j.enconman.2005.02.010