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Power Admission Control with Predictive Thermal Management in Smart Buildings

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Abstract

This paper presents a control scheme for thermal management in smart buildings based on predictive power admission control. This approach combines model predictive control with budget-schedulability analysis in order to reduce peak power consumption as well as ensure thermal comfort. First, the power budget with a given thermal comfort constraint is optimized through budget-schedulability analysis which amounts to solving a constrained linear programming problem. Second, the effective peak power demand is reduced by means of the optimal scheduling and cooperative operation of multiple thermal appliances. The performance of the proposed control scheme is assessed by simulation based on the thermal dynamics of a real eight-room office building located at Danish Technical University.

Budget-schedulability Demand response Model predictive control (MPC) Smart buildings Smart Grid Budget control Channel capacity Constrained optimization Intelligent buildings Linear programming Office buildings Predictive control systems Scheduling Temperature control Thermal comfort Thermal variables control Cooperative operation Linear programming problem Optimal scheduling Schedulability Schedulability analysis Smart grid Technical universities Model predictive control Communication Networking and Broadcast Technologies Power Energy and Industry Applications Signal Processing and Analysis Image registration Image resolution Joints Magnetic resonance imaging model predictive control Mutual information Splines (mathematics) Three-dimensional displays