Final Technical/Scientific Report: A Scalable Hardware-and-Human-in-the-Loop Grid-interactive Efficient Building Equipment Performance Dataset

Summary

This U.S. Department of Energy project developed comprehensive datasets and methodologies to improve grid-interactive efficient buildings (GEB) by understanding the complex interactions between heat pumps, homes, and human occupants. The research included hardware-in-the-loop lab experiments with 3-ton heat pumps and 2-ton AC units, and a longitudinal field study involving over 50 participants across 25 homes for more than two years. Findings indicated that up to 30% of automated demand response attempts are overridden by users, but smart thermostats could potentially offer ~100 GW of load flexibility, reducing U.S. peak electricity demand by ~10%. The project produced publicly available datasets and validated dynamic models for both heat pump performance and occupant behavior to inform future control algorithms.

Key Facts

Source Document

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