Wi-Fi Location-Based Services to Optimize Energy Efficiency

Update: November 2023

The project team has completed monitoring and data analysis and is currently finalizing a report on project findings. By verifying the ability of wireless access points to detect occupant presence and headcount in spaces, the team was able to determine the comfort and cooling needs of the space more accurately and provide building operations with key space use patterns. This method also presents the opportunity to regulate occupant comfort through temperature and ventilation, as well as operate lights and aggregate data for safety and security. Eventually, this approach may be extended to customize office space for individuals, in a similar way to how these systems currently function in museums or retail stores. The final report containing these findings will be available this winter.

Overview

In 2016, commercial buildings consumed about 19% of the total energy consumed in the U.S. A study by the Pacific Northwest National Laboratory found that advanced occupancy sensors used for both lighting and HVAC controls can achieve 18% energy savings at a national scale compared to their control building. DOE projections show an energy savings of 2.3 quads by 2035 through the adoption of connected lighting and control techniques. (For context, one quad is the equivalent of more than 8 billion gallons of gasoline.)

This project will investigate and demonstrate the use of beacon-based Wi-Fi LBS in commercial buildings to determine the energy and non-energy benefits of building management system integration of the technology.

By sensing occupancy presence, magnitude, and location, this emerging technology approach can allow energy services to be efficiently delivered when and where they are needed. Wi-Fi LBS methods can provide this granular level of detail based on occupant mobile device presence and when integrated with building operations can provide significant savings.
 
Researchers will investigate the use of beacon-based Wi-Fi LBS by:

1. Analyzing the feasibility of Wi-Fi LBS to provide the necessary information and accuracy to perform quantitative, granular occupancy sensing for energy efficient building operation without requiring personal identifying information;
2. Developing  tools and methods for integrating Wi-Fi LBS with standard BAS packages and other networked building systems; and
3. Performing lab and small-scale in-situ testing to ensure that LBS occupancy sensing can improve energy efficient building operations.

Upon successful completion of these tasks, the technology and approach will be demonstrated at three sites located in Minnesota, Wisconsin, and New York. The cost, performance, and usability requirements for this approach will be determined; and recommendations will be developed to promote market acceptance and penetration.