  Mitigating the energy use in buildings, together with satisfaction of comfort
requirements are the main objectives of efficient building control systems.
Augmenting building energy systems with batteries can improve the energy use of
a building, while posing the challenge of considering battery degradation
during control operation. We demonstrate the performance of a data-enabled
predictive control (DeePC) approach applied to a single multi-zone building and
an energy hub comprising an electric heat pump and a battery. In a comparison
with a standard rule-based controller, results demonstrate that the performance
of DeePC is superior in terms of satisfaction of comfort constraints without
increasing grid power consumption. Moreover, DeePC achieved two-fold decrease
in battery degradation over one year, as compared to a rule-based controller.
