Giannakis, GI; Katsigarakis, K; Kontes, GD; Rovas, DV; (2013) Co-simulation setup for online model-assisted control design. In: Kabele, Karel, (ed.) Proceedings of the 11th REHVA World Congress and 8th International Conference on IAQVEC ”Energy Efficient, Smart and Healthy Buildings". CLIMA: Prague, Czech Republic.

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Abstract

For reduction of energy intensity of the building sector, effective and parsimonious use of energy resources and climate control systems is a prerequisite. Intelligent Building Energy Management Systems (BEMS) can be key ingredients towards achieving this goal; the incorporation of forecast data into the decision process can help achieve improved performance compared to existing state-of-the-art approaches. In the present paper, the potential of model-based supervisory control design algorithms for automatically designing BEMS is evaluated by performing experiments in a real building. A co-simulation setup is implemented where the thermal simulation model of the building is warmed up using past sensed data and then, given weather and occupancy forecasts, a controller is designed by solving a constrained minimization problem. A stochastic optimization algorithm is used to intelligently search the controller parameter space and identify a controller that minimizes an energy-related cost function, subject to thermal comfort constraints. A middleware solution is deployed in the building to facilitate two-way communication between the building (sensing and actuation) layer and the algorithmic layer.

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