在多区商业大楼的可变空气容量终端单元中故障的数据集
Sungkyun Jung1, Yeobeom Yoon1, Piljae Im2
1Buildings and Transportation Science Division, Oak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, TN, 37830, USA.
Scientific data
|May 9, 2025
概括
空调系统故障,如堵塞的阻尼器和空气流传感器问题,在商业建筑中浪费大量能源. 这项研究提供了一个数据集来分析故障影响,并开发更好的故障检测方法.
科学领域:
- 建筑能源系统 建筑能源系统
- 在HVAC故障检测和诊断.
背景情况:
- 空调系统的故障会降低效率和寿命,在商业建筑中浪费5%-30%的能源.
- 常见的故障包括在可变空气体积 (VAV) 系统中卡住的阻尼器和排放空气流传感器故障.
研究的目的:
- 提供高质量的,对HVAC系统故障进行良好控制的数据集.
- 为了分析故障对建筑物运行和室内条件的影响.
- 支持开发和评估故障检测和诊断 (FDD) 算法.
主要方法:
- 在一个受控的研究大楼进行了阻尼器卡住和空气流传感器故障测试.
- 在一天内生成无故障和不同故障级别的场景.
- 收集1分钟间隔数据,包括天气,建筑运行和故障状态.
主要成果:
- 该数据集捕捉了特定的HVAC故障在受控条件下的影响.
- 数据验证确保了故障和无故障场景的质量和可靠性.
- 该数据集涵盖了故障诱导和无故障的操作状态.
结论:
- 开源数据集对于了解HVAC故障影响是有价值的.
- 促进HVAC系统性能分析和FDD算法开发的研究.
- 帮助提高商业建筑的能源效率和设备寿命.
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