This research area focuses on the design, modelling, and control of energy systems for buildings and urban districts. Our work advances methodologies for efficient indoor environmental control and integrated energy management, with a particular focus on novel sensing strategies, control architectures, occupant behaviour, and advanced, data-driven, predictive control algorithms. We create tailored models of buildings and energy systems, from simplified, optimization-oriented representations, to detailed, high-fidelity models suitable for testing and validation. In addition, we design decision-support tools to enable optimal design and configuration of multi-energy systems, identifying the most effective combinations of energy generation, conversion, and storage technologies.
Three adjacent rooms, with extremely flexible energy and control equipment. The laboratory possesses high research flexibility, allowing reconfiguration of the heat emission system to use: i) radiator-based heating ii) floor-heating, iii) controllable mechanical ventilation and iv) radiative ceiling (see Figure 1). Supply temperature, water and air flow rates can be individually managed and remotely controlled by any bespoke algorithm. The rooms are extensively monitored with indoor environment sensors (temperature, humidity, CO2) and HVAC system data (energy, system states), with historical data available for the past 3 years.