Internet of Things and Ubiquitous Sensing in University Building Energy Management: Design Optimization and Technology Demonstration

The agreement will fund a large scale demonstration and extensive assessments of a pre commercial energy management system at CSU Long Beach.

CSU Long Beach Research Foundation


Long Beach, CA

Recipient Location


Senate District


Assembly District



Amount Spent



Project Status

Project Update

The team submitted the Final report and final tech transfer report. The Final meeting has been scheduled.

The Issue

There is a research gap in the number of demonstrations and pilots, including market awareness and education that can address building owners resistance to embracing new technologies for existing buildings. Even though new energy management technologies can reduce energy use and operating costs, there is reluctance to try new state-of the art technologies.

Project Innovation

This project installed and tested a large scale demonstration at a University building. It included an integrated EMS based on internet of things (Iot) to achieve control of lighting, HVAC and plug loads. The agreement successfully reduced on-site electricity use (kWh) by at least 20 percent from the energy efficiency technology improvements.

Project Benefits

The project success can remove barriers to achieve widespread deployment of state-of-the-art energy management technologies. The project provides California IOUs, academic institutions (universities, including 22 CSU campuses), energy management technology developers, and other stakeholders with an IOT-based energy management platform. Additionally, the project provides a comprehensive example of the potential for large scale deployment, including technical considerations, building performance, energy savings, and non-energy benefits.

Lower Costs


The use of IOT-based controls is projected to reduce on-peak energy demand of HVAC The total yearly energy saving across HVAC, lighting, and plug-in loads was 264,516 kWh. On average, the monthly peak load reduction was 107 kW, which resulted in an annual benefit of $40,475. Also, the annual saving in energy cost for the time-of-use pricing rates is $22,114 per year. The project identified loads and devices eligible to participate in Demand Response (DR) programs. It is estimated that participation in a demand response program, such as a critical peak pricing would save an additional $10,012 annually.

Greater Reliability


The improved energy efficiency provided by the project could reduce the need for additional generation capacity. The estimated benefit to the IOU for a deferral of distribution and transmission network upgrade is estimated to be $36,906 yearly.

Key Project Members

Project Member

Masoud Nazari

Asst Professor (Director of Power & Energy Lab)

Contact the Team