Jung Sungkyun, Yoon Yeobeom, Im Piljae
Buildings and Transportation Science Division, Oak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, TN, 37830, USA.
Sci Data. 2025 May 8;12(1):763. doi: 10.1038/s41597-025-05063-z.
Faults in HVAC systems can decrease system efficiency and equipment lifespan, leading to 5%-30% of energy consumption being wasted in commercial buildings. We identified two common faults in HVAC variable air volume systems: a stuck damper fault in the variable air volume terminal unit and a discharge airflow sensor fault. We conducted three sets of damper stuck tests and two sets of airflow sensor tests, each including a fault-free scenario and scenarios with varying levels of faults, over one day. The faults were implemented in Oak Ridge National Laboratory's two-story Flexible Research Platform building to generate a high-quality, well-controlled dataset covering fault-induced and fault-free scenarios. The test building, fault test scenarios, and data validation are described here. The open-source dataset includes 1 min intervals of weather and building data on the presence and absence of building faults. This dataset can be used to analyze the effects of HVAC system faults on system operation and indoor building conditions, and to develop or evaluate a fault detection and diagnosis algorithm.
暖通空调（HVAC）系统的故障会降低系统效率和设备使用寿命，导致商业建筑中5%-30%的能源消耗被浪费。我们识别出了暖通空调变风量系统中的两个常见故障：变风量末端装置中的风门卡住故障和送风气流传感器故障。我们进行了三组风门卡住测试和两组气流传感器测试，每组测试在一天内包括一个无故障场景和不同故障程度的场景。这些故障在橡树岭国家实验室的两层灵活研究平台建筑中实施，以生成一个涵盖故障引发场景和无故障场景的高质量、可控数据集。本文描述了测试建筑、故障测试场景和数据验证。该开源数据集包括间隔1分钟的天气和建筑数据，记录了建筑故障的有无情况。这个数据集可用于分析暖通空调系统故障对系统运行和室内建筑环境的影响，以及开发或评估故障检测与诊断算法。
