Abstract
The purpose of this study is correct and effective model predictive control (MPC), in reduce energy demand and cost of buildings in power network and use pricing -- a demand and charges. A virtual model, for a single floor, the article commercial buildings equipped with variable air volume (VAV) based on Energyplus cooling system. Real-time data between the realization of the switch Energyplus and Matlab into building control virtual test bed (BCVTB) as a middleware. System identification technology is to realize get zone temperature and the power function model, which is used in the MPC framework. With economic target, target function is formulated as a linear programming problem and solves the problem. In the rush hour pre-cooling effect and independent cooling unloaded from building thermal mass in supply and demand can be observed during a consecutive weekly simulation. The MPC brings the cost comparison, the control strategy and other are preprogrammed baseline.
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