Print Email Facebook Twitter A Computational Workflow for Generating A Voxel-Based Design Approach Based on Subtractive Shading Envelopes and Attribute Information of Point Cloud Data Title A Computational Workflow for Generating A Voxel-Based Design Approach Based on Subtractive Shading Envelopes and Attribute Information of Point Cloud Data Author Alkadri, M.F. (TU Delft Design Informatics) De Luca, Francesco (Tallinn University of Technology) Turrin, M. (TU Delft Design Informatics) Sariyildiz, I.S. (TU Delft Design Informatics) Date 2020 Abstract This study proposes a voxel-based design approach based on the subtractive mechanism of shading envelopes and attributes information of point cloud data in tropical climates. In particular, the proposed method evaluates a volumetric sample of new buildings based on predefined shading performance criteria. With the support of geometric and radiometric information stored in point cloud, such as position (XYZ), color (RGB), and reflection intensity (I), an integrated computational workflow between passive design strategy and 3D scanning technology is developed. It aims not only to compensate for some pertinent aspects of the current 3D site modeling, such as vegetation and surrounding buildings, but also to investigate surface characteristics of existing contexts, such as visible sun vectors and material properties. These aspects are relevant for conducting a comprehensively environmental simulation, while averting negative microclimatic impacts when locating the new building into the existing context. Ultimately, this study may support architects for taking decision-making in conceptual design stage based on the real contextual conditions. Subject Computational design methodPassive design strategyPoint cloud dataShading envelopesVoxel-design approach To reference this document use: http://resolver.tudelft.nl/uuid:2f4ac3bd-5e80-483c-b7ba-36f4e9339cf8 DOI https://doi.org/10.3390/rs12162561 ISSN 2072-4292 Source Remote Sensing, 12 (16), 1-28 Part of collection Institutional Repository Document type journal article Rights © 2020 M.F. Alkadri, Francesco De Luca, M. Turrin, I.S. Sariyildiz Files PDF 2020_Remote_Sensing.pdf 9.65 MB Close viewer /islandora/object/uuid:2f4ac3bd-5e80-483c-b7ba-36f4e9339cf8/datastream/OBJ/view