Lilis, GN; Katsigarakis, K; Rovas, DV; (2021) Automatic IFC data enrichment with space geometries for Building Energy Performance Simulations. In: Proceedings of Building Simulation 2021: 17th Conference of IBPSA. (pp. pp. 2133-2140). International Building Performance Simulation Association

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Abstract

The potential of using BIM geometry data to automate the process of setting up the geometry in whole building simulation models is very appealing. This transformation process is far from trivial and relies on good quality data. Missing or incorrect space geometries in the BIM model can create issues, especially in complex geometric configurations. In this paper, we present an algorithm to identify building space volume geometries automatically. The algorithm receives as input the geometric representations of architectural elements surrounding the building spaces and accurately reconstructs the internal building space volumes. The proposed method is tested in real-world examples and can be particularly useful for curved wall geometries. The transformation process relies on good quality geometric input data of the architectural elements avoiding clashes and surface errors; we define criteria to check for such errors and discuss the impact of such errors on the reconstructed space volumes.

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