本文介绍了ASHRAE研究项目926“世界各地融雪荷载设计算法和数据的开发”最终报告的一些结果本文回顾并确定了对现行ASHRAE融雪荷载计算程序的建议修订，并给出了基于修订程序的样本结果。融化表面的负荷包括将雪升高到融化温度（感热负荷）和融化雪所需的热通量，以及对流、辐射和蒸发造成的热损失。计算过程中的变化主要取决于热损失的确定方式。对流换热率使用目前公认的湍流对流换热系数关联式进行评估。辐射损失使用基于环境干燥度的有效天空温度进行评估- 灯泡温度、相对湿度和云层覆盖的天空比例。水和蒸汽之间的传热系数是用质量传递系数来确定的。对流和蒸发损失是风速和板特征尺寸的函数。使用气象数据报告的风速和特征长度为20英尺（6.1米）的风速，对基线情况进行计算。在许多情况下，还对气象风速的一半和两倍以及20英尺和5英尺（6.1米和1.5米）的特征长度进行了计算。结果以乘数灵敏度表的形式呈现，设计者可将其应用于基线。使用12年的天气数据，计算了46个美国国家的负荷。 美国地点。结果以频率分布表示，表明所需融雪荷载不超过报告值的时间百分比。报告的融雪负荷百分比为75、90、95、98、99和100。近距离观察其中六个地点表明，对于给定的负荷要求，负荷在熔化、对流、辐射和蒸发方面的分布差异很大。结果清楚地指出，为了准确估计融雪负荷，需要同时提供数据。单元:双引文:研讨会，ASHRAE交易，第105卷，第。1.

This paper presents some of the results of the final report of ASHRAE research project 926, "Development of Snow Melting Load Design Algorithms and Data for Locations Around the World." The paper reviews and identifies recommended revisions to the current ASHRAE snow melting load calculation procedures and presents sample results based on the revised procedure. The load at the melting surface includes the heat fluxes needed to raise the snow to the melting temperature (sensible load) and to melt the snow, along with the heat losses due to convection, radiation, and evaporation. The changes in the calculation procedure are primarily in the way heat losses are determined. The convective heat transfer rate is evaluated using currently accepted correlations for the turbulent convection heat transfer coefficient. The radiation losses are evaluated using an effective sky temperature that is based on the ambient dry-bulb temperature, relative humidity, and fraction of the sky that is cloud covered. The analogy between mass and heat transfer is used to determine the water vapor mass transfer coefficient from the convective heat transfer coefficient. The convection and evaporation losses are functions of the wind speed and the characteristic dimension of the slab. Calculations are performed for a baseline case using the wind speed as reported on meteorological data and for a characteristic length of 20 ft (6.1 m). For a number of cases, calculations were also performed at combinations of half and twice the meteorological wind speed and for characteristic lengths of 20 ft and 5 ft (6.1 m and 1.5 m). The results are presented in the form of a sensitivity table of multipliers, which can be applied by the designer to the baseline. Using 12 years of weather data, loads were calculated for 46 U.S. locations. Results are presented in terms of frequency distributions that indicate the percentage of time that the required snow melting load does not exceed the reported value. Snow melting loads are reported for percentages of 75, 90, 95, 98, 99, and 100. A closer look at six of the sites demonstrates that for a given load requirement, the distribution of the load in terms of melting, convection, radiation, and evaporation varies greatly. The results clearly point out the need for concurrent data in order to accurately estimate snow melting loads.Units: Dual