Data Sets for Evaluation of Building Fault Detection and Diagnostics Algorithms
收藏DataCite Commons2024-09-25 更新2025-04-09 收录
下载链接:
https://www.osti.gov/servlets/purl/1824861/
下载链接
链接失效反馈官方服务:
资源简介:
This documentation and dataset can be used to test the performance of automated fault detection and diagnostics algorithms for buildings. The dataset was created by LBNL, PNNL, NREL, ORNL and ASHRAE RP-1312 (Drexel University). It includes data for air-handling units and rooftop units simulated with PNNL's large office building model.
本文档与数据集可用于测试楼宇自动化故障检测与诊断算法的性能。该数据集由劳伦斯伯克利国家实验室(Lawrence Berkeley National Laboratory, LBNL)、太平洋西北国家实验室(Pacific Northwest National Laboratory, PNNL)、美国国家可再生能源实验室(National Renewable Energy Laboratory, NREL)、橡树岭国家实验室(Oak Ridge National Laboratory, ORNL)以及德雷塞尔大学负责的ASHRAE RP-1312项目联合创建。数据集包含采用PNNL大型办公楼建筑模型仿真生成的空气处理机组(Air Handling Units)与屋顶式空调机组(Rooftop Units)运行数据。
提供机构:
DOE Open Energy Data Initiative (OEDI); Lawrence Berkeley National Laboratory
创建时间:
2021-10-09



