A HIERARCHICAL CONTROL STRATEGY FOR ENERGY OPTIMIZATION

A new hierarchical and adaptive control strategy, integrating the heating and lighting systems, is proposed combining the classical control techniques, such as LQ optimal control and PI regulator, with fuzzy logic rules. The strategy is aimed at guaranteeing the satisfaction of comfort objectives, both thermal and lighting, by using the minimum amount of energy. The main idea is to maximize (in winter) or reject (in summer) solar gain by acting on window blind and avoiding glare on working plane.The effectiveness of the strategy has been tested by using a purposely designed simulator, developed in Java language and Matlab/Simulink environment.It is chosen the simulation environment to test the benefits of optimization strategy and in future in the Grace's laboratory will designed an hardware demonstrator.