Collage of photo images including the University of New Haven.

Lead Performer: University of New Haven — New Haven, CT
-- UTRC — East Hartford, CT
-- United Illuminating — New Haven, CT
-- Paguridae, LLC — East Haven, CT
-- Eversource — Berlin, CT
-- Energize CT — North Haven, CT
DOE Total Funding: $594,493
Cost Share: $639,859
Project Term: September 2017 – September 2020
Funding Type: Scaling Up the Next Generation of Building Efficiency Packages Funding Opportunity Announcement (DE-FOA-0001518)

Project Objective

This project will study selected software and hardware platforms that apply algorithms to identify, diagnose, and sometimes fix “broken” electric cooling, ventilation and refrigeration systems in buildings. Think of this technology as diagnostics for the check engine light of a building's HVAC systems. This system will be verified in 10 field sites, with monitoring for two seasons to capture varied environments and HVAC stresses.   

Project Impact

This technology works across two building systems to improve the building’s energy efficiency. If widely used, the fault detection and diagnosis tools validated in this project could have savings of 927 TBtu per year, representing a 50% energy savings across all HVAC and refrigeration systems sectors.


DOE Technology Manager: Amy Jiron,
Lead Performer: Ravi Gorthala, The University of New Haven

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