Publications / 2025 Proceedings of the 42nd ISARC, Montreal, Canada

Online data acquisition and building modelling for building renovation

Danya Liu, Kepa Iturralde, Christoph Holst
Pages 949-955 (2025 Proceedings of the 42nd ISARC, Montreal, Canada, ISBN 978-0-6458322-2-8, ISSN 2413-5844)
Abstract:

The issue of renovating a significant number of buildings has emerged as a prominent concern within the architecture field in recent years. The renovation of existing buildings represents a significant opportunity for reducing energy consumption and greenhouse gas emissions at minimal economic cost. However, achieving effective renovation outcomes can be challenging, particularly for customers who lack technical expertise. To address this gap, this paper presents an online data acquisition platform designed to streamline the integration of building information through a standardized process. Furthermore, this paper presents the optimization of algorithms to address common challenges such as fragmentation, an over-reliance on manual input, and the utilization of disconnected tools in the renovation process. Finally, the feasibility and effectiveness of the platform are demonstrated through case studies featuring 3D building models processed through the platform. These case studies highlight the potential of the platform as a valuable tool for building renovation.

Keywords: Data acquisition; renovation; energy saving; modeling