Myers-Lawson School of Construction, Virginia Tech, Blacksburg, VA, 24061, United States.
Apogee Interactive, Tucker, GA, 30084, United States.
Sci Data. 2021 Nov 23;8(1):299. doi: 10.1038/s41597-021-01082-8.
This paper provides an open dataset of measured energy use, solar energy production, and building air leakage data from a 328 m (3,531 ft) all-electric, zero energy commercial building in Virginia, USA. Over two years of energy use data were collected at 1-hour intervals using circuit-level energy monitors. Over six years of solar energy production data were measured at 1-hour resolution by 56 microinverters (presented as daily and monthly data in this dataset). The building air leakage data was measured post-construction per ASTM-E779 Standard Test Method for Determining Air Leakage Rate by Fan Pressurization and the United States Army Corps (USACE) Building Enclosure Testing procedure; both pressurization and depressurization results are provided. The architectural and engineering (AE) documents are provided to aid researchers and practitioners in reliable modeling of building performance. The paper describes the data collection methods, cleaning, and convergence with weather data. This dataset can be employed to predict, benchmark, and calibrate operational outcomes in zero energy commercial buildings.
本文提供了一个来自美国弗吉尼亚州的 328 米（3,531 英尺）全电动、零能耗商业建筑的实测能耗、太阳能发电量和建筑空气渗漏数据的开放数据集。使用电路级能源监测器以 1 小时的间隔收集了两年多的能耗数据。通过 56 个微型逆变器以 1 小时的分辨率测量了六年多的太阳能发电量数据（在本数据集中以每日和每月的数据呈现）。建筑空气渗漏数据是根据 ASTM-E779 标准测试方法《通过风机增压法测定空气渗漏率》和美国陆军工程兵团（USACE）建筑围护结构测试程序在建筑竣工后进行测量的；提供了加压和减压的结果。建筑图纸和工程文件也提供了，以帮助研究人员和从业人员可靠地模拟建筑性能。本文描述了数据收集方法、清理以及与天气数据的融合。这个数据集可以用于预测、基准测试和校准零能耗商业建筑的运行结果。
