The work of this thesis is linked to the design and management of intelligent buildings supporting advanced building simulation features. Smart buildings may utilise various existing technologies and are planned or modified so that future technological improvements may be integrated. The specific goal of this thesis, part of the educational activities of the PRELUDE project, is to add functionality to the PREDYCE software (Python semi-Realtime Energy DYnamics and Climate Evaluation), which is a Python library developed inside the PRELUDE and E-DYCE projects to work as an EnergyPlus simulation platform, allowing automatic editing of IDF files (building models) and KPIs computation on both simulation results and monitored data.