| id |
cdrf2022_337 |
| authors |
Ping Chen, Chang Liu, and Hsin-Hsien Chiu |
| year |
2022 |
| title |
Study on Optimization of Building Climate Adaptive Morphology in Cold Regions of China: Case of U-Shaped College Building |
| source |
Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022) |
| doi |
https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_30
|
| summary |
Proper design of building form will facilitate the use of climate environment in order to reduce the reliance of buildings on active equipment. This study takes the cold region of China as the research area, and Jinan city of Shandong province as a typical city in the cold region for specific research. The multi-objective optimization tool based on NSGA-II algorithm is used to optimize the opening angle, length of both sides and floor height of the building, and finally the optimal size range of the university teaching building under the influence of solar radiation heat gain in winter and summer is obtained, and the results show that for the U-shaped university teaching building, the parameters that affect the building performance more in the case of the east side opening are the length of the north side building and the rotation angle of the south side building, and the parameters that affect the performance more in the case of the west side opening are the length of the building on the south side. |
| series |
cdrf |
| email |
|
| full text |
 file.pdf (1,535,121 bytes) |
| references |
Content-type: text/plain
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| last changed |
2024/05/29 14:03 |
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