Predictive control of multizone heating, ventilation and air-conditioning systems in non-residential buildings
A model-based predictive approach is proposed to manage multizone HVAC systems. The predicted mean vote (PMV) index is used as a thermal comfort indicator. Low-order ANN-based models are developed and used as controller's internal models. The optimization problem is solved using a genetic algorithm. HVAC operation is optimized and thermal comfort constraints are met.
predictive control non-residential building multizone hvac predictive mean vote genetic algorithm feedforward neural networks