| id |
caadria2022_394 |
| authors |
Li, Yuanyuan, Huang, Chenyu, Zhang, Gengjia and Yao, Jiawei |
| year |
2022 |
| title |
Machine Learning Modeling and Genetic Optimization of Adaptive Building Facade Towards the Light Environment |
| doi |
https://doi.org/10.52842/conf.caadria.2022.1.141
|
| source |
Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 141-150 |
| summary |
For adaptive facades, the dynamic integration of architectural and environmental information is essential but complex, especially for the performance of indoor light environments. This research proposes a new approach that combines computer-aided design methods and machine learning to enhance the efficiency of this process. The first step is to clarify the design factors of adaptive facade, exploring how parameterized typology models perform in simulation. Then interpretable machine learning is used to explain the contribution of adaptive facade parameters to light criteria (DLA, UDI, DGP) and build prediction models for light simulation. Finally, Wallacei X is used for multi-objective optimization, determines the optimal skin options under the corresponding light environment, and establishes the optimal operation model of the adaptive facades against changes in the light environment. This paper provides a reference for designers to decouple the influence of various factors of adaptive facades on the indoor light environment in the early design stage and carry out more efficient adaptive facades design driven by environmental performance. |
| keywords |
Adaptive Facades, Light Environment, Machine learning, Light Simulation, Genetic Algorithm, SDG 3, SDG 12 |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (1,183,923 bytes) |
| references |
Content-type: text/plain
|
Attia, S., Bilir, S., Safy, T., Struck, C., Loonen, R. & Goia, F. (2018)
 Current trends and future challenges in the performance assessment of adaptive faCade systems
, Energy and Buildings, 179, 165–182. https://doi.org/10.1016/j.enbuild.2018.09.017Böke, J., Knaack, U., & Hemmerling, M. (2019). State-of-the-art of intelligent building envelopes in the context of intelligent technical systems. Intelligent Buildings International, 11(1), 27-45.https://doi.org/10.1080/17508975.2018.1447437Carlucci, S., Cattarin, G., Causone, F., & Pagliano, L. (2015). Multi-objective optimization ofa nearly zero-energy building based on thermal and visual discomfort minimizationusing a non-dominated sorting genetic algorithm (NSGA-II). Energy and Buildings,104, 378–394. https://doi.org/10.1016/j.enbuild.2015.06.064Hosseini, S. M., Mohammadi, M., & Guerra-santin, O. (2019). Interactive kinetic faCade: Improving visual comfort based on dynamic daylight and occupant’s positions by 2D and 3D shape changes. Building and Environment, 165, 106396. https://doi.org/10.1016/j.buildenv.2019.106396
|
|
|
|
|
Loonen, R. C. G. M., Trèka, M., Cóstola, D. & Hensen, J. L. M. (2013)
Climate adaptive building shells: State-of-the-art and future challenges
, Renewable and Sustainable Energy Reviews, 25, 483–493. https://doi.org/10.1016/j.rser.2013.04.016Luna-Navarro, A., Loonen, R., Juaristi, M., Monge-Barrio, A., Attia, S., & Overend, M. (2020). Occupant-Facade interaction: a review and classification scheme. Building and Environment, 177(March), 106880. https://doi.org/10.1016/j.buildenv.2020.106880
|
|
|
|
|
Michael, A. & Heracleous, C. (2017)
Assessment of natural lighting performance and visual comfort of educational architecture in Southern Europe: The case of typical educational school premises in Cyprus
, Energy and Buildings, 140, 443–457. https://doi.org/https://doi.org/10.1016/j.enbuild.2016.12.087
|
|
|
|
|
Shi, X., Abel, T. & Wang, L. (2020)
Influence of two motion types on solar transmittanceand daylight performance of dynamic faCades
, Solar Energy, 201(March), 561–580.https://doi.org/10.1016/j.solener.2020.03.017Tabadkani, Amir, et al. “Integrated Parametric Design of Adaptive Facades for User’s Visual Comfort.” Automation in Construction,106, 102857. doi:10.1016/j.autcon.2019.102857
|
|
|
|
| last changed |
2022/07/22 07:34 |
|
