Model-Based Predictive HVAC Control Enhancement Software

Project Number: 
Start Year: 
End Year: 
Markets Segments: 
Commercial Office
Project Type: 
Demand Savings
Electric Energy Savings
Type of Technology: 
Building Controls
San Diego Gas and Electric (SDG&E - a Sempra utility)
Project Status: 
Savings Type: 

The model-based predictive HVAC control enhancement saves energy by generating a predictive model of building operations, then optimizing heating, ventilation, and air conditioning (HVAC) system operations to meet these predicted loads. The specific model-based predictive HVAC control studied in this report provides a real-time prediction of a building’s power profile for the subsequent 24-hour period, and updates this model every 4 hours. This predictive model informs how to most efficiently control HVAC system start-up and shut down times, and optimize heating, cooling, and airflow set points.

Archive this report?: 
PDF Report: 
Download PDF

Please complete the following form in order to download the selected file.  If you would like to create an account in order to bypass this form in the future or already have an account please login in order to bypass this screen.