Public Data Resource

Net Zero Energy Residential Test Facility Instrumented Data; Year 2

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Contact: William Healy.
Identifier: ark:/88434/mds005v42c
Version: 1.0
This dataset presents measurements from the NIST Net-Zero Energy Residential Test Facility (NZERTF) for a full year of operation. The NZERTF is a laboratory built in the form of a single-family house that serves as a testbed for technologies and operational strategies to achieve energy efficient performance while maintaining a healthy and comfortable indoor environment. The facility is equipped with well-instrumented heating, cooling, ventilation, water heating, lighting, and electrical subsystems as would be present in an efficient home. A photovoltaic array on the roof provides onsite renewable energy. The dataset includes nearly 400 measured parameters for a full year of operation on a minutely basis. Those parameters include indoor temperatures and humidities, outdoor weather conditions, electrical consumption by all devices, hot water consumption, photovoltaic energy generation, and operational schedules of the virtual occupants of the facility. The data presented here are for the second year of operation which occurred from February 1, 2015 through January 31, 2016
Research Areas
NIST R&D: Energy: Alternative energyBuildings and Construction: Indoor air qualityEnergy: Energy efficiency
Keywords: residential energy use; energy conservation; photovoltaics; net-zero energy; heatingventilationand air conditioning; water heating;
These data are public.
For more information, please visit the home page.
Data and related material can be found at the following locations:
  NIST Net-Zero - Data Page
Minutely data for the entire year is downloaded by subsystem or for the entire facility.
Version: 1.0
Cite this dataset
William Healy (2016), Net Zero Energy Residential Test Facility Instrumented Data; Year 2, National Institute of Standards and Technology, https://pages.nist.gov/netzero/ (Accessed 2025-04-24)
Repository Metadata
Machine-readable descriptions of this dataset are available in the following formats:
NERDm
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