Distributed Control Strategy Development for Demand-Side Energy Management in Commercial Buildings With Photo-Voltaic and Energy Storage

Increasing global energy demand coupled with efforts to reduce our carbon emission has pushed for improved energy efficiency in many areas. One area in need of improvement is residential and commercial buildings. Specifically, the demand-side energy management of commercial buildings can be improved significantly with improved control. With the addition of on-site renewable energy generation such as Photo-Voltaic and energy storage, a large commercial building can be optimally controlled to provide reliable, stable power while maintaining minimal wasted energy. The goal of this project is to develop a robust demand-side energy management control strategy utilizing model predictive control and multi-objective optimization techniques.

Yuan (Gary) Wang
Faculty Supervisor: 
Biao Huang