| id |
ijac202220215 |
| authors |
Gámez Bohórquez, Oscar; William Derigent; Hind Bril El-Haouzi |
| year |
2022 |
| title |
Parametric point-cloud slicing for facade retrofitting |
| source |
International Journal of Architectural Computing 2022, Vol. 20 - no. 2, pp. 434–452 |
| summary |
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. |
| keywords |
Facade retrofitting, scan to building information modeling, parametric modeling, terrestrial laser scanning, building lifecycle |
| series |
journal |
| references |
Content-type: text/plain
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| last changed |
2024/04/17 14:29 |
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