来自实际操作大楼的办公室的监控数据,适用于状态空间能源建模
Peter Klanatsky1, François Veynandt1, Roman Stelzer1
1University of Applied Sciences Burgenland, Campus 1, A-7000 Eisenstadt, Austria.
Data in brief
|December 21, 2023
概括
这个数据集为办公室提供能源建模数据,包括温度,空气流和太阳辐射. 这是它它它它.
科学领域:
- 建筑的能源性能 建筑的能源性能
- 可持续的建筑 可持续的建筑
- 数据科学用于能源的数据科学
背景情况:
- 精确的能源建模对于优化办公楼性能至关重要.
- 数据驱动的方法需要全面的,高分辨率的数据集.
- 现有的数据集可能缺乏具体建筑部件 (如立面) 的详细变量.
研究的目的:
- 呈现一个全面的数据集,以数据驱动的能源建模办公室的空间.
- 为测试和开发预测控制策略提供验证的数据.
- 促进建筑能效和智能建筑技术方面的研究.
主要方法:
- 收集了温度和通风气流的原始测量结果.
- 从传感器数据计算的热流.
- 利用两个立面模型 (简单和增强) 来计算传入的太阳辐射量.
- 将建筑物几何和材料特性集成到太阳辐射计算中.
- 在1分钟和15分钟的时间步骤中提供数据.
主要成果:
- 编制了一年四个月的详细数据集.
- 数据集包括原始温度和空气流量,计算的热流量和计算的太阳辐射量.
- 数据分辨率包括细 (1分钟) 和粗 (15分钟) 的时间步骤.
- 该数据集适用于验证数据驱动的能源模型.
结论:
- 这一数据集是推进办公环境中数据驱动的能源建模的宝贵资源.
- 它可以开发和验证复杂的能源管理和预测控制系统.
- 这项工作支持创建更节能和可持续的建筑.
关键词:
可控制的外部遮阳.数据驱动模型预测控制的数据驱动模型.能源监测 能源监测是指对能源的监测.高时分辨率的时间分辨率.生活实验室 办公楼 办公楼长达一年的数据集.单一的热带单一的热带.三重玻璃立面的三重玻璃更多相关视频
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