Parametric point-cloud slicing for facade retrofitting. (June 2022)

• Record Type: Journal Article
• Authors: Gámez Bohórquez, Oscar; Derigent, William; Bril El-Haouzi, Hind
• Is Part Of: International journal of architectural computing. Volume 20:Number 2(2022)
• Page Start: 434
• Page End: 452
• Publication Date: 2022-06
• Subjects: Facade retrofitting -- scan to building information modeling -- parametric modeling -- terrestrial laser scanning -- building lifecycle; Architecture -- Data processing -- Periodicals; Architecture -- Informatique -- Périodiques; Virtual reality in architecture -- Periodicals; Computer-aided design -- Periodicals; Architecture -- Data processing; Periodicals; 720.2840285536
• DOI: 10.1177/14780771211029747
• Languages: English
• ISSNs: 1478-0771

Abstract

This work presents a method for retrieving 3D building contours usable in facade retrofitting projects, which uses a parametric modeling workflow that utilizes a point-cloud slicing method to retrieve such 3D contours. Since current commitments by European governments seek to reduce energy consumption as a means to reduce carbon emissions from building stock by 2050, facade retrofitting appears as an alternative for addressing operational and embedded building emissions. Within such a context, the main contribution of this work consists of a workflow and a 3D reconstruction solution that uses a parametric environment for capturing building topology and bypassing ground-level occlusions. A real case study and a strategy for converting 3D building contours into Industry Foundation Classes entities, directly from the parametric modeling environment, served as a scenario for testing the capabilities of a Grasshopper solution and open new perspectives for this approach.