Skip to main content

The Building Adapter: Automatic Mapping of Commercial Buildings for Scalable Building Analytics

This project will develop a technique to automatically construct new contextual information for sensing and control points based on point names and the raw time series value. This will allow for integration and connectivity from building analytics engines to commercial building management systems with minimal or no manual point mapping.
Scope
Funded Performer
University of Virginia
Agreement Total
$500,000
Match Total
$67,713
Project Start Date
Project End Date
Program Information
Funding Organization
Department of Energy
Program Area
Emerging Technologies
Project Manager
Marina Sofos
Agreement Type
Funding Opportunity
Project Details
Ongoing Initiative or Research Project
Research Project
Grid, Whole Building, or Technology
Technology
Technology Type
Controls
Sub-Technology Type
Controls - Whole-Building
Building Type
Commercial
New or Existing
New
Existing
DR Focus?
No
Code/Standard Focus?
No
Locale
City
Charlottesville
State
Virginia