Abstract

This paper provides an open dataset of measured energy use, solar energy production, and building air leakage data from a 328 m2 (3,531 ft2) 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.

Highlights

  • Background & SummarySignificant data is generated in the built environment

  • Open building performance data (BPD) can be used to benchmark machine learning techniques for the built environment[2]

  • There are recent open BPD contributions focused on occupant behavior impacts on energy use and indoor environmental quality (IEQ)

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Summary

Background & Summary

Significant data is generated in the built environment. Design and construction documents, performance simulations, commissioning results, and building performance data (BPD) are generated on all modern buildings. Open datasets are critical for advancing building performance and analytical methods. Open BPD can facilitate benchmarking performance across building types, vintage, and geographic distributions[1]. Open BPD can be used to benchmark machine learning techniques for the built environment[2]. The Architecture, Engineering, Construction, and Operation (AECO) industry rarely systematically collects or shares BPD. There are recent open BPD contributions focused on occupant behavior impacts on energy use and indoor environmental quality (IEQ). These contributions span human-building interactions with appliances[5], heat pumps[7], and natural ventilation systems[8]. This paper contributes to the recent trend toward open BPD datasets

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