As the need to evaluate the energy performance of buildings has increased, the use of energy analysis tools has become more widespread and their results are now a key factor in building energy assessments. The current emphasis on the interpretation of building energy performance means that the enhancement of energy analysis tools and their ease of use is worthy of study. Based on analyses of building energy and the physical properties of materials, material properties essential to the analysis of building energy performance were selected. These properties were automatically extracted and stored using an algorithm to collect information from the internet. Based on the designed algorithms, we conducted a questionnaire-based survey and qualitative analysis to measure their convenience. From the analysis, the satisfaction level was found to exceed an average of 80%, resulting in a high level of satisfaction for practitioners using the energy analysis tool. It was also shown that the perceived convenience could be improved by reducing the duration of the search by at least 60% and by applying physical property information to the energy analysis application.

随着对建筑物能源性能评估的需求增加，能源分析工具的使用变得越来越广泛，其结果现已成为建筑物能源评估的关键因素。当前对建筑能源性能的解释的强调意味着能源分析工具的增强及其易用性值得研究。在分析建筑能源和材料的物理特性的基础上，选择了分析建筑能源性能必不可少的材料特性。这些属性是使用一种算法从互联网上自动提取并存储的。基于设计的算法，我们进行了基于问卷的调查和定性分析，以衡量其便利性。根据分析，我们发现满意度水平超过了80％的平均值，因此使用能量分析工具的从业人员满意度很高。还表明，可以通过将搜索持续时间减少至少60％并将物理属性信息应用于能量分析应用程序来改善感知的便利性。