Application of predictive control algorithms for thermal comfort and energy saving in the classroom
[ 1 ] Instytut Informatyki, Wydział Informatyki, Politechnika Poznańska | [ P ] employee
2016
paper
english
- intelligent control
- model predictive control
- object modeling
- thermal comfort
- energy saving
- HVAC
EN In the paper there are presented the problems of optimal control for indoor thermal comfort in classroom equipped with HVAC (Heating, Ventilation and Air Conditioning) systems. It is very important that the design of such HVAC control systems allows to minimize the energy consumption and to maximize microclimate comfort sensation. There are discussed the results of modeling the classroom using building construction data (laboratory room in Lecture and Congress Centre of the University's Technical Library Building - Poznan University of Technology). The mathematical model of the classroom has been verified using meteorological data from the weather station, taking into account the conditions of HVAC actuators. Predictive control algorithms (GPC and DMC) are used in the structure of climate comfort control system. The intelligent control system was simulated in Matlab & Simulink. In the paper the commercial HVAC control system and intelligent HVAC control system are compared.
527 - 532
WoS (15)