Feature article: Benchmark Dataset Development and Applications
quality, well-calibrated datasets of building operations through robust instrumentation. Monitoring efforts will address equipment health, sub-metered energy use, environmental variables (e.g., temperature, humidity, air quality, irradiance), and occupancy parameters (e.g., occupant presence, interactions with building systems). Parameters most valuable for a variety of use cases, including load forecasting and baselining, virtual sensing, building energy modeling, building performance benchmarking (at the whole building and system levels), and non-intrusive load monitoring, will be identified. The project is collecting and curating high-resolution, well-calibrated time series of building operational and indoor/outdoor environmental data, which are crucial to understanding and optimizing building energy efficiency performance and demand flexibility capabilities as well as benchmarking energy algorithms. Data are being sourced from both existing and new building data collection efforts. The curated datasets are being made open access through a public data portal.
Approaches The project is organized into five tasks (Figure 1), including four technical tasks and one outreach task. The four-lab team works together on all five tasks in collaboration with the DOE project manager and the Technical Advisory Group (TAG). Through a survey and interview process of 33 researchers from the four participating laboratories, the project team identified and defined 14 use cases. An iterative scoring process was done to prioritize high-impact use cases.
Figure 1. The Five Tasks of the Project
Task 1: Existing data collection and curation This task is examining the catalogue of existing data sources to select field- and/or laboratorybased building system datasets that are best suited to addressing our list of high-impact use cases. The selected existing datasets are being curated as shown in Figure 2, including the process of
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volume 31 number 2
