Student: Michael Yaw Baah Wadieh
Committee: Dr. Matthew M. Peet
Abstract:
This project seeks to utilize an optimization approach in programming HVAC thermostats, minimizing combined Time-of-Use and Demand charges for residential consumers. Energy storage capabilities of walls and surfaces in rooms are analyzed to investigate how best they impact electricity billing rates. In Arizona, billing rates for electricity are based on the Time-of-Use and Demand. With Time-of-Use, the rate for billing varies depending on the time of the day that electricity is used. Peak hours of the day are assigned higher billing rates and vice versa. Demand charges are based on the highest amount of electricity used at a time. Air-conditioning makes up about 50% of residential electricity bills. The optimization algorithm generates optimal temperature settings for HVAC thermostats to produce minimal Time-of-Use and Demand rates for a specified range of allowable temperature inputs.
Zoom Room: https://asu.zoom.us/j/4907067164
Presentation Time: 12:00-1:00 PM (Arizona Time)
