Energetic Solutions for Energy-Efficient Buildings and Grids
Buildings are more than just Architecture
The building sector accounts for about 40% of the total energy consumption worldwide. In order to guarantee maximisation of user comfort while minimising building energy consumption, it is necessary to both invest in passive energy-saving measures (insulation, external shading, green energy, etc.) and in intelligent automation schemes. An additional automation challenge is posed by advanced alternative building systems like heat pumps, free cooling, photovoltaics, etc.
Nowadays, many modern buildings are not only energy consumers but also energy producers. Therefore, solutions for energy-efficient buildings and grids are a major topic of research.
Building Models: The Key to Control Performance
Model predictive control (MPC) requires building models for online optimisation of both comfort and energy consumption. These models need to cover nonlinear building dynamics with minimum effort.
Black-box (based on measured data only) and
grey-box models (utilising also expert knowledge) fulfil these requirements. An efficient way to approximate the overall nonlinear building behaviour is given by local linear models (LLM). These LLMs enable the use of a special type of control, the so-called fuzzy control. Moreover, building supply systems are typically represented by hybrid systems (both switched and continuous dynamics). Both building and supply face an abundance of constraints, which must be respected by the control design.
Pushing the Limits: Smart Building Control by MPC
Modern office buildings with large thermal mass have high load-shifting potential and can afford to shift their heating and cooling schedule for several hours without thermal comfort loss. Moreover, predictions of stochastic disturbances like weather forecasts (radiance and ambient temperature) and occupancy are explicitly incorporated in the MPC optimisation. The workgroup‘s research focus is placed on two types of model predictive controllers, such as on a fuzzy MPC for comfort maximisation of the building's indoor temperature and also on a mixed-integer MPC for supply optimisation. In order to individually regulate different building zones, a new hierarchical concept as well as a cooperative MPC scheme have been developed.
However, not only individual buildings need intelligent automation systems, but interaction in smart grids also requires a hierarchical MPC structure for global optimisation. A patent for hierarchical predictive load control in smart grids has been filed.
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