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Together with the rapidly increasing trends of smart systems, there is a clear need for integration tools of different technologies spanning from individual user to smart city conception. With 40% of total world energy consumption, building systems are put in the central focus of the area. The paper introduces modular technology integration strategy based on model predictive control and focuses on...
This paper focusses on implementation of the energy management in building zones with fan coil units. The implementation is based on direct control of the required thermal energy inputs. We develop it as a necessary add-on to model predictive control algorithms that use thermal models of a building and compute the optimal energy inputs in different building zones for minimization of the overall energy...
Model predictive control has proven to be a promising platform for complex systems management and energy efficiency improvement in a large number of applications, particulary prominent in building climate or smart grids control. Interoperation of those systems often turns out to be of a nonlinear nature. The paper proposes a modular coordination mechanism between building zones comfort control and...
Recent studies highlighted the model predictive control as a promising platform for complex systems management and energy efficiency improvement in a large number of applications, particularly prominent in building climate and smart grid control. Involvement of microgrids offered great possibilities of power consumption peak shaving, improved grid stability and decentralisation, by introducing buildings...
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