建筑物和工厂的计算机模拟正越来越多地用于能源评估和设计。模拟通常需要每小时的天气数据。本文第一部分讨论了北美WYEC2、WYEC1、TMY、TMY2和IWEC选择方法，并与欧洲测试参考年（TRYs）和设计参考年（DRY）进行了比较。后者是新提议的标准prEN ISO15927-4的基础。建议使用稳健的Finkelstein-Schafer统计量，该统计量用于某些选择方法，但在prEN ISO15927中未提及- 4、应作为基本的选择工具。在论文的第二部分中，我们讨论了在工厂规模方面缺乏广泛的近极端小时数据的问题。ASHRAE 1, 3, 5和7天周期数据和英国和欧洲设计夏季年被认为是。总之，建议使用Finkelstein-Schafer方法的扩展来选择更多的近极端每小时天气数据。单元:双引文:研讨会，ASHRAE交易，第108卷，第。2.

Computer simulation of buildings and plants is being used increasingly in energy ssessments nd design. Simulation often requires hourly weather data.In the first part of this paper the North American WYEC2, WYEC1, TMY, TMY2, and IWEC selection methods are discussed and compared with the European Test Reference Years (TRYs) and Design Reference Years (DRYs). The latter re the basis of a new proposed standard, prEN ISO15927-4. It is proposed that the robust Finkelstein-Schafer statistic, used in some of these selection methods but not mentioned in prEN ISO15927-4, should be adopted as the basic selection tool.In the second part of the paper the lack of extensive near-extreme hourly data for plant sizing is discussed. ASHRAE 1, 3, 5, and 7 day period data and U.K.and European design summer years are considered. In conclusion,it is proposed that an extension of the Finkelstein-Schafer method be used for selecting more near-extreme hourly weather data.Units: Dual