Developing a Framework of Artificial Intelligence Application for Delivering Energy Efficient Buildings through Active BIM

In the recent decade, the potential of saving energy by systematic building management is known to be significant and this task should be considered throughout the lifecycle of a building. However, the most effective decisions related to sustainable design of a building facility are made in the feasibility and early design stages. Using building information modelling can expedite this process and provide the opportunity of testing and assessing different design alternatives and materials selection that may impact on energy performance of buildings. Thus, to proactively rectify building performance issues and improve energy efficiency, there is a need for robust methods that can assist with detection, measurement and optimization of energy performance during the early design stage. The main goal for this paper is to study the possibility of interactions between BIM and energy efficient buildings out of application of cutting-edge technologies such as artificial intelligene methods and develop a framework of this interaction as the downstream to establish a better connection among sustainability and information theories as the upstream. Therefore, through this study, a well-established framework that gives a schematic knowledge of BIM applicability in terms of sustainability and energy optimization through utilizing new computational algorithims will be presented.