Abstract

The design and implementation of a nonlinear model predictive controller (MPC) scheme for an energy-efficient office building is presented. Because of the nonlinear building behavior local linear model networks are used to model the building dynamics. For each of the building's zones a dedicated Fuzzy model predictive controller (FMPC) is implemented. In addition to the FMPCs a global MPC is designed to control the coupling zone (concrete core activation). To coordinate the overactuated system a cooperative iteration-loop is designed, which leads to cooperative Fuzzy model predictive control (CFMPC). The CFMPC has been successfully implemented in a real office building, and the first results after commissioning are presented and discussed. Additional simulation studies demonstrate that the proposed CFMPC achieves higher comfort with less cost as compared to a rule-based controller.

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