CABA Information Series
IS-2005-40: Modelling and Intelligent Climate Control of Buildings
The main purpose of this paper, a reprint of Mohsen Soleimani-Mohseni's doctoral thesis, is to examine the possibilities of different indoor climate control techniques, feed-forward control and demand-controlled ventilation, together with intelligent technology to improve the indoor climate and/or the energy efficiency of buildings. A large portion of the paper focuses on developing mathematical models for the prediction of the indoor operative temperature using linear models as well as non-linear artificial neural network (ANN) model. The different controllers used in indoor climate control are also investigated in this paper.