一种新的典型气象年权重因子构建方法
New method for constructing weight factors of typical meteorological years
摘要：
典型气象年（TMY）是建筑能耗模拟用基础参数，其准确与否直接影响建筑能耗模拟和建筑节能设计。目前TMY的生成方法中，对挑选TMY的气象参数皆采用统一的权重因子，未能体现不同地域气象参数的影响差异。基于Sandia国家实验室法，采用随机赋权法验证了权重对TMY的挑选结果有明显影响；采用EnergyPlus软件对北京地区典型代表建筑进行了逐年能耗模拟，将不同类型气象参数与建筑能耗进行相关性分析，采用定量分析的手段重新确定新的权重因子。结果显示，新权重挑选的TMY比原权重挑选的TMY更接近长期平均值。
Abstract：
The typical meteorological year (TMY) is a basic parameter for building energy consumption simulation, which directly affects building energy consumption simulation and building energy saving design. At present, in the generation method of the TMY, the unified weight factor is used to select the meteorological parameters of the TMY, which fails to reflect the different influence of meteorological parameters in different regions. According to the Sandia national laboratory method, uses the random weighting method to verify the significant impact of weight on the selection results of the TMY. Simulates the energy consumption of typical buildings in Beijing year by year by means of EnergyPlus software. Analyses the correlation between different types of meteorological parameters and building energy consumption. Determines a new weight factor by quantitative analysis. The results show that the TMY selected with the new weight is closer to the long-term average value than that of the old weight.
Keywords:typical meteorological year, weight factor, building energy consumption, Sandia national laboratory method, building energy efficiency