Application of economic MPC to the energy and demand minimization of a commercial building

作者：Ma, Jingran; Qin, S. Joe^*; Sal**ury, Timothy

来源：Journal of Process Control, 2014, 24(8): 1282-1291.

DOI：10.1016/j.jprocont.2014.06.011

• Economic model predictive control
• Building
• HVAC
• Optimization
• Simulation
• Field tests

This paper presents an application case study of an economic model predictive control (EMPC) method for optimizing the building demand and energy cost under the time-of-use price policy. The control strategy is comprised of an economic objective function that accounts for the combination of energy and demand costs with a time-of-use rate structure, a dynamic thermal process and power model of the building thermal mass dynamics, and a set of constraints to ensure the building is operated properly. The optimization is a min-max optimization problem and is converted to a linear program. The EMPC method is implemented in a commercial office building located in Milwaukee, Wisconsin, USA. An internet-based control architecture is developed to carry out tests with the EMPC controller at a remote location. The test results show that the EMPC strategy is capable of shifting the peak demand to off-peak hours and reducing energy costs compared to a baseline case for the building.

• 出版日期2014-8
• 单位香港中文大学（深圳）