| id |
caadria2023_15 |
| authors |
Wu, Wei and Chen, Qi Ning |
| year |
2023 |
| title |
A Framework for Predicting the Visual and Non-Visual Effects of Daylighting Based on Multi-Objective Optimization Tool |
| doi |
https://doi.org/10.52842/conf.caadria.2023.2.361
|
| source |
Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 361–370 |
| summary |
Many studies have shown that the non-visual effects of daylighting have a positive effect on human physiological health. However, due to non-visual effects are different from visual effects in spectral distribution, influencing factors and evaluation standards, the existing lighting simulation software cannot satisfy both visual and non-visual evaluation simultaneously. Based on a review of the latest non-visual studies, the research team developed a climate-based simulation framework devised to investigate both the visual and non-visual effects of daylighting in buildings simultaneously by using multi-objective optimization tool. The simulation framework integrates four functional modules, including boundary conditions input, simulation of visual and non-visual effects, multi-objective optimization calculation, and result output and analysis. A total of 12 computing components are written through Ghpython for data processing and visual expression. The applicability of the simulation framework is demonstrated using a real standardized classroom in Nanjing, P.R. China. The simulation framework generated three optimal daylight design schemes, which significantly improved indoor visual and non-visual effects of daylight. The results suggest that the framework can be used to assess the performance of various daylighting design strategies which simultaneously consider visual and non-visual effects. |
| keywords |
Daylighting, Visual and non-visual effects, Simulation framework, Multi-objective optimization tool |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (1,450,509 bytes) |
| references |
Content-type: text/plain
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| last changed |
2023/06/15 23:14 |
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