Platform to Estimate Building Occupancy

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Program:
SENSOR
Award:
$1,956,775
Location:
East Hartford, Connecticut
Status:
CANCELLED
Project Term:
05/11/2018 - 11/10/2020

Technology Description:

United Technologies Research Center (UTRC) will develop a low-cost occupancy solution that combines radar sensing technology with an infrared focal plane array (IR-FPA) to determine occupancy in buildings. The solution will also be deployed as a radar-only residential sensor for true human presence sensing. The radar will detect respiration or heartbeat of non-moving occupants by measuring the radar signal reflections caused by chest movement. The system’s machine learning algorithms will allow it to distinguish humans from pets in residential settings and to reduce under-counting errors in commercial deployments. The radar will enable through-wall presence sensing in multiple rooms by a single sensor, reducing the sensor hardware and installation cost on a per square foot basis. The solution aims to address the high cost and failure rate of current presence sensors that are preventing large-scale adoption of occupancy based control of HVAC, lighting, and plug loads.

Potential Impact:

If successful, SENSOR projects will dramatically reduce the amount of energy needed to effectively heat, cool, and ventilate buildings without sacrificing occupant comfort.

Security:

Lower electricity consumption by buildings eases strain on the grid, helping to improve resilience and reduce demand during peak hours, when the threat of blackouts is greatest.

Environment:

Using significantly less energy could help reduce emissions attributed to power generation. In addition, improved interior air quality could help prevent negative effects on human health.

Economy:

Buildings will require less energy to operate, reducing heating, cooling, and ventilation costs for businesses and families. In addition, better controlled ventilation may lead to improved indoor air quality (ensured by an accurate occupant count, and validated via widespread CO2 detection) may lead to improved worker productivity and academic performance.

Contact

ARPA-E Program Director:
Dr. Marina Sofos
Project Contact:
Piyush Agrawal
Press and General Inquiries Email:
ARPA-E-Comms@hq.doe.gov
Project Contact Email:
AGRAWAPI@utrc.utc.com

Partners

Oak Ridge National Laboratory

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Release Date:
01/18/2017