Electrical Plug Loads
Recent research has advanced the understanding of electrical demand in healthcare facilities, providing data-driven evidence that challenges long-standing design assumptions and supports more efficient, cost-effective infrastructure planning. Through large-scale empirical analysis, peer-reviewed publication, and direct influence on national codes and standards, this work has helped establish a stronger technical foundation for sizing healthcare electrical systems.
Key Developments
Significant advancements emerged from this research effort, including the completion and public discussion of a large, multi-hospital empirical plug-load study focused on healthcare receptacle circuits. The work also led to the publication of a peer-reviewed journal article introducing a new probabilistic methodology for sizing plug loads, providing a more data-driven alternative to traditional design assumptions. Most notably, the findings directly informed revisions to demand factors in the 2026 National Electrical Code (NEC) for healthcare facilities. Together, these achievements represent more than industry commentary or advocacy; they introduced new data, new analytical methods, and measurable code-level impact.
Peer Reviewed Publication
June 2025
A major milestone was reached in June 2025 with the publication of the peer-reviewed article, A Data-Driven Probabilistic Approach to Assess Electrical Plug Loads in Healthcare Facilities, in the journal Energy and Buildings. The study analyzed more than six million electrical load measurements collected from 1,196 circuits across 14 hospitals in the United States, creating one of the most comprehensive datasets of its kind.
Why it Matters
The research introduced a probabilistic sizing methodology that replaces the conservative fixed-demand assumptions commonly used in healthcare electrical design. Results demonstrated that healthcare receptacle demand factors can be safely reduced without compromising system reliability, and that increasing numbers of circuits benefit from demand diversity, resulting in converging load factors rather than proportional load growth. The study further showed that optimized electrical system design could reduce copper usage and overall system capacity requirements by as much as 30%. These findings provided statistically robust, nationally relevant evidence that supported meaningful changes to healthcare electrical design practices and code requirements.
