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Mitigating the energy use in buildings, together with satisfaction of comfortrequirements are the main objectives of efficient building control systems.Augmenting building energy systems with batteries can improve the energy use ofa building, while posing the challenge of considering battery degradationduring control operation. We demonstrate the performance of a data-enabledpredictive control (DeePC) approach applied to a single multi-zone building andan energy hub comprising an electric heat pump and a battery. In a comparisonwith a standard rule-based controller, results demonstrate that the performanceof DeePC is superior in terms of satisfaction of comfort constraints withoutincreasing grid power consumption. Moreover, DeePC achieved two-fold decreasein battery degradation over one year, as compared to a rule-based controller.

Degradation-aware data-enabled predictive control of energy hubs