当我们进行建筑能耗模拟时，需要气象数据。有两种类型的天气数据用于建筑能耗模拟；一个是典型天气年，另一个是设计天气数据。这两类天气数据的目的和收集方法不同。典型天气年主要用于估算年度能源消耗，而设计天气数据用于估算峰值能源需求。在本文中，我们提出了一种新型的天气年数据，称为典型和设计天气年（TDWY），它可以作为建筑能耗模拟中的典型天气年和设计天气数据。这里介绍的TDWY的制备方法基于分位数映射（QM）方法。QM得到的TDWY的累积分布函数（CDF）与父多变量的累积分布函数（CDF）完全一致- QM中使用的所有气象参数的年份天气数据。我们解释了基于QM开发TDWY的方法，并研究了TDWY在建筑能耗模拟中的特性。引用:2017年年度会议，加利福尼亚州长滩，会议论文

Weather data is needed when we conducted building energy simulations. There are two types of weather data for building energy simulations; one is a typicalweather year and the other is a design weather data. The purpose of the two types of weather data and their collection methods are different. The typicalweather year is primarily used for estimating annual energy consumption, while the design weather data is used for estimating peak energy demand. In thispaper, we present a new type of weather year data called a typical and design weather year (TDWY), which can be used as both typical weather year anddesign weather data in building energy simulations. The method to prepare the TDWY presented here is based on the quantile mapping (QM) method.The cumulative distribution functions (CDFs) of the TDWY obtained by QM consist completely with that of parent multi-year weather data for all themeteorological parameters used in QM. We explained the method of developing the TDWY based on QM and investigated the TDWY's properties forbuilding energy simulations.