A dataset for understanding self-reported patterns influencing residential energy decisions

Fuentes, Tracy L.; McCord, Kieren H.; Martell, Max J.; Antonopoulos, Chrissi A.

doi:10.1038/s41597-025-05335-8

A dataset for understanding self-reported patterns influencing residential energy decisions

Journal Article · Mon Jul 21 00:00:00 EDT 2025 · Scientific Data (Online)

DOI:https://doi.org/10.1038/s41597-025-05335-8· OSTI ID:2572580

Fuentes, Tracy L. ^[1]; ^[1]; Martell, Max J. ^[1]; ^[1]

Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Household occupant behavior and decision-making dynamics substantially impact technology uptake and residential building energy performance. Although significant research underscores the importance of social science in energy studies, few public data with representative samples on household energy decision-making patterns are available. The dataset (UPGRADE-E: Understanding Patterns Guiding Residential Adoption and Decisions about Energy Efficiency) presents 9,919 responses from U.S. residents of single-family and small multifamily homes. Derived from a national-scale internet survey, the dataset contains 391 variables: demographics, building characteristics, home modifications, willingness to adopt new technologies, motivations for making changes, barriers, program participation, trusted information sources, and energy scenarios. Responses were validated via internal consistency checks and comparison with other U.S. national scale datasets. UPGRADE-E advances knowledge of household energy related decision-making, tying demographics, home modifications, and self-reported cognitive drivers together at a scale and breadth that has not been previously achieved. Policymakers and researchers at local, regional, and national levels may leverage this dataset to understand drivers influencing the adoption of key technologies in U.S. homes.

View Accepted Manuscript (DOE)

Research Organization:: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Building Technologies Office

Grant/Contract Number:: AC05-76RL01830

OSTI ID:: 2572580

Report Number(s):: PNNL-SA--206577

Journal Information:: Scientific Data (Online), Journal Name: Scientific Data (Online) Journal Issue: 1 Vol. 12; ISSN 2052-4463

Publisher:: Nature Publishing GroupCopyright Statement

Country of Publication:: United States

Language:: English

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