AN OPEN IFC TO MODELICA WORKFLOW FOR ENERGY PERFORMANCE ANALYSIS USING THE INTEGRATED DISTRICT ENERGY ASSESSMENT BY SIMULATION (IDEAS) LIBRARY

Building Energy Performance Simulations (BEPS) become more and more common in the design process of energy efficient buildings. Despite the many attempts to improve the user friendliness of these applications there is still an important effort required to create a well-adapted model. One of the main issues is the necessity to re-introduce manually data originating from different sources: project specific geometry as well as component and material properties from manufacturers. This tedious and error prone process can lead to poor judgment or input errors that can have significant impact on the correctness of the model predictions. In order to tackle these issues, studies have recently set their focus on the use of Building Information Modelling (BIM) and its standard format Industry Foundation Classes (IFC) to (partially) automate the BEPS model creation. Nonetheless, most of the existing tools relying on this concept are either commercial software, complex to use for a non BIM expert or still under development. To facilitate the use of an IFC model as a base for BEPS model creation, the focus of this research is to implement and test an open and easy to use PYTHON package which maps IFC objects and their relations to objects of a Modelica library to assist the BEPS modeller. The PYTHON package is intended to reduce the workload and human involvement within the modelling process by generating automatically a "pre-model". This "pre-model" is a semi- configured BEPS obtained from the IFC to Modelica mapping and contains the relevant information retrieved from the BIM including building geometry, spaces together with a description of their function and occupation, material properties, HVAC components with their properties and how they are connected,... Nevertheless, not all required information for the BEPS-model implementation is present in the BIM and the modeller might want to reduce model complexity, especially in early design stages, or introduce additional aspects. The necessity to manually introduce missing data and to adapt and correct the "pre-model" to obtain the final BEPS-model motivated the use of Modelica which facilitates model modification from top to component level. A two-phase approach was implemented: first the IFC model is parsed, relevant information is extracted and a "space topology" based on the space boundaries characteristics defined in the BIM is generated. In the second step the "pre-model" for building and systems is created usin