Analysis of typical meteorological years in different climates of China

Typical meteorological years (TMYs) for 60 cities in the five major climatic zones (severe cold, cold, hot summer and cold winter, hot summer and warm winter, mild) in China were investigated. Long term (1971–2000) measured weather data such as dry bulb and dew point temperatures, wind speed and global solar radiation were gathered and analysed. A total of seven climatic indices were used to select the 12 typical meteorological months (TMMs) that made up the TMY for each city. In general, the cumulative distribution functions of the TMMs selected tended to follow their long term counterparts quite well. There was no persistent trend in any particular years being more representative than the others, though 1978 and 1982 tended to be picked most often. This paper presents the work and its findings. Future work on the assessment of TMYs in building energy simulation is also discussed.

[1]  Jiaping Liu,et al.  Development of passive design zones in China using bioclimatic approach , 2006 .

[2]  Songqiao Zhao,et al.  Physical geography of China , 1986 .

[3]  Constantinos A. Balaras,et al.  Comparison of methodologies for tmy generation using 20 years data for Athens, Greece , 1999 .

[4]  Drury B. Crawley,et al.  Which Weather Data Should You Use for Energy Simulations of Commercial Buildings , 1998 .

[5]  D. K. Pissimanis,et al.  The generation of a “typical meteorological year” for the city of Athens , 1988 .

[6]  Syed A.M. Said,et al.  Generation of representative weather-year data for Saudi Arabia , 1994 .

[7]  Dale H. Stern.  Weather data , 1971, RFC.

[8]  Kang Wu,et al.  Energy development in China: National policies and regional strategies , 1995 .

[9]  Lang Siwei.  Current Situation and Progress of Energy Efficiency Design Standards in Buildings in China , 2002 .

[10]  Joseph C. Lam,et al.  A Statistical Approach to the Development of a Typical Meteorological Year for Hong Kong , 1996 .

[11]  Siwei Lang,et al.  Progress in energy-efficiency standards for residential buildings in China , 2004 .

[12]  W. J. Conover,et al.  Practical Nonparametric Statistics , 1972 .

[13]  T. L. Stoffel,et al.  Production of the Weather Year for Energy Calculations Version 2 (WYEC2) data files , 1998 .

[14]  C. Carter.  Few-day solar radiation cycles and their use in building simulation , 1994 .

[15]  L. W. Crow.  Weather year for energy calculations , 1984 .

[16]  Ya Feng,et al.  Thermal design standards for energy efficiency of residential buildings in hot summer/cold winter zones , 2004 .

[17]  C. W. Richardson,et al.  DATA REQUIREMENTS FOR ESTIMATION OF WEATHER GENERATION PARAMETERS , 2000 .

[18]  Sai On Cheung,et al.  Residential building envelope heat gain and cooling energy requirements , 2005 .

[19]  Joseph C. Lam,et al.  Energy analysis of commercial buildings in subtropical climates , 2000 .

[20]  ZhongXiang Zhang,et al.  Energy conservation in China: An international perspective , 1995 .

[21]  K. Steemers,et al.  Energy policy and standard for built environment in China , 2005 .

[22]  Eric Martinot,et al.  World bank energy projects in China: influences on environmental protection , 2001 .

[23]  R. E. Schafer,et al.  Improved goodness-of-fit tests , 1971 .

[24]  D. B. Crawley,et al.  Does it matter which weather data you use in energy simulations , 1996 .

[25]  Development of the Typical and Design Weather Data for Asian Locations , 2002 .

[26]  Joe Huang,et al.  DEVELOPMENT OF TYPICAL YEAR WEATHER DATA FOR CHINESE LOCATIONS , 2002 .

[27]  Michael McClintock,et al.  Determining typical weather for use in solar energy simulations , 1978 .