An integrated approach to subtractive solar envelopes based on attribute information from point cloud data. (May 2020)
- Record Type:
- Journal Article
- Title:
- An integrated approach to subtractive solar envelopes based on attribute information from point cloud data. (May 2020)
- Main Title:
- An integrated approach to subtractive solar envelopes based on attribute information from point cloud data
- Authors:
- Alkadri, Miktha Farid
De Luca, Francesco
Turrin, Michela
Sariyildiz, Sevil - Abstract:
- Abstract: As a passive design strategy, solar envelopes play a significant role in determining building mass based on desirable sun access during a predefined period. Nowadays, advancements in the area of computational tools permit designers to develop new methods for establishing solar envelopes. However, current approaches lack an understanding of the existing environment's site characteristics, especially when dealing with geometrical information about the surrounding context. Consequently, this aspect affects the contextual analysis process during the generation of solar envelopes because of insufficient information for the relevant input of simulation modelling. With the support of geometric and radiometric properties stored in point cloud data, such as position (XYZ), colour (RGB), and reflection intensity (I), this study has proposed novel subtractive solar envelopes that specifically consider the surface properties of the existing environment. Through a subtractive mechanism, the proposed method caters to several computational frameworks such as dataset pre-processing that aims to correct erroneous measurement during scanning. In alignment with that, the proposed building's visible sun vectors, optimal normal values, and 3D polyhedra are generated for the hit-or-miss analysis of subtractive solar envelopes. Furthermore, environmental assessments consisting of insolation and glare analysis are performed on the solar envelopes' final geometry. These performanceAbstract: As a passive design strategy, solar envelopes play a significant role in determining building mass based on desirable sun access during a predefined period. Nowadays, advancements in the area of computational tools permit designers to develop new methods for establishing solar envelopes. However, current approaches lack an understanding of the existing environment's site characteristics, especially when dealing with geometrical information about the surrounding context. Consequently, this aspect affects the contextual analysis process during the generation of solar envelopes because of insufficient information for the relevant input of simulation modelling. With the support of geometric and radiometric properties stored in point cloud data, such as position (XYZ), colour (RGB), and reflection intensity (I), this study has proposed novel subtractive solar envelopes that specifically consider the surface properties of the existing environment. Through a subtractive mechanism, the proposed method caters to several computational frameworks such as dataset pre-processing that aims to correct erroneous measurement during scanning. In alignment with that, the proposed building's visible sun vectors, optimal normal values, and 3D polyhedra are generated for the hit-or-miss analysis of subtractive solar envelopes. Furthermore, environmental assessments consisting of insolation and glare analysis are performed on the solar envelopes' final geometry. These performance assessments aim to investigate the potential and impact of the generated solar envelopes as it pertains to the existing buildings. Ultimately, this study supports architects not only in producing a new generation of subtractive solar envelopes based on real contextual settings but also in comprehensively understanding the microclimate condition of design context. Highlights: Geometric and radiometric information of point cloud data is calculated to perform sun visibility analysis. The dataset correction is applied to compensate erroneous measurement of acquisition geometry during scanning. Ray tracing and insolation analysis are perfomed between a proposed design and existing buildings. Integrated workflow between material properties, solar radiation, and simulation of solar envelopes is developed. … (more)
- Is Part Of:
- Renewable & sustainable energy reviews. Volume 123(2020)
- Journal:
- Renewable & sustainable energy reviews
- Issue:
- Volume 123(2020)
- Issue Display:
- Volume 123, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 123
- Issue:
- 2020
- Issue Sort Value:
- 2020-0123-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-05
- Subjects:
- Subtractive solar envelopes -- Point cloud data -- Passive design strategy -- Material properties -- Computational design method
Renewable energy sources -- Periodicals
Power resources -- Periodicals
Énergies renouvelables -- Périodiques
Ressources énergétiques -- Périodiques
333.794 - Journal URLs:
- http://www.sciencedirect.com/science/journal/13640321 ↗
http://www.elsevier.com/journals ↗
http://www.journals.elsevier.com/renewable-and-sustainable-energy-reviews ↗ - DOI:
- 10.1016/j.rser.2020.109742 ↗
- Languages:
- English
- ISSNs:
- 1364-0321
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 7364.186000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13380.xml