本文介绍了一种方法，以提高预测的准确性，在现有建筑物的空间加热能源使用模拟使用eQuest，一个能源建模程序。该方法是使用输入TMY天气文件中编码的heatingdegreedays（HDD）和现场收集的短期天气数据调整实际能源使用数据。在许多情况下，TMY天气文件不能准确反映建筑物周围的实际现场温度。在改造前的条件下，准确再现现有建筑的能源使用的能源模型可以让人们对任何拟议变更的预测影响和效果有更大的信心。这对建筑行业的利益相关者尤其有价值，包括承包商、顾问、业主和经理。与获取（如果可用）多年的每小时天气数据或在现场收集这些数据，然后创建自定义TMY天气文件相比，本文介绍的方法更简单、耗时更少。 相反，这种方法使用更短的现场天气数据周期来规范化模型输出。在所使用的示例中，该方法的结果将模型能源使用量提高到计量能源使用量的-0.14%（95%CI:-0.98%，+0.68%）以内。这种将实际能耗数据调整到天气文件的方法为模型的准确性提供了高度的信心，这对设计和经济决策至关重要。引文:ASHRAE交易——第120卷第2部分，华盛顿州西雅图

This paper describes a method to improve the accuracy of predicted space-heating energy usage in existing buildings simulated using eQuest, an energy modeling program. The method is an adjustment of actual energy usage data using heatingdegreedays( HDD)encoded in the inputted TMY weatherfile and short-term weather data collected on site. TMY weather files, in many cases, do not give an accurate representation of actual site temperatures around a building. An energy model that accurately reproduces energy use for an existing building under pre-retrofit conditions allows greater confidence in the predicted impacts and effects of any proposed changes. This is particularly valuable to stakeholders in the building industry, including contractors, consultants, owners, and managers. The method presented is simpler and less time intensive than obtaining (if available) multiple years of hourly weather data or collecting those data onsite and then creating a custom TMY weather file. Rather, this method normalizes the model output using a shorter period of on-site weather data. Results of this method in the example used improved the modeled energy usage to within -0.14% (95% CI: -0.98%, +0.68%) of metered energy usage.This approach to adjusting actual energy consumption data to the weather file offers a high level of confidence in the model's accuracy,which is vital to designandeconomicdecision-making.