A Sunlight Duration Time Driven Multi-objective Optimization Method for the Layout of High-Rise Residential Quarters Based on NSGA2 Algorithm

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A Sunlight Duration Time Driven Multi-objective Optimization Method for the Layout of High-Rise Residential Quarters Based on NSGA2 Algorithm

Freier Zugriff

Zhang, Ze / Wu, Zhengwang

Extending sunlight duration time by optimizing the layout of the high-rise residential quarters during the early design stage is one of the most effective approaches to reducing carbon emissions. This paper proposes a multi-objective optimization method for high-rise residential quarter layout based on the NSGA2 algorithm. The method is aimed to maximize the first floor’s sunlight duration time and its uniformity both. A simulated plot in Xiamen is taken as an example for multi-objective optimization. After the optimization, the layouts are analyzed and the better one is selected. The results show that the proposed method can achieve higher overall sunlight duration and its uniformity rate and maximize floor area ratio in the early design phase. However, the proposed method has its drawbacks. This method requires the pre-design of the building plan. The algorithm generates a lot of invalid solutions during the optimization. The optimization time increases dramatically with the quantity increase of input parameters. According to the above, there is still room for improvement in the proposed method.

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Dokumentinformationen

Titel :

A Sunlight Duration Time Driven Multi-objective Optimization Method for the Layout of High-Rise Residential Quarters Based on NSGA2 Algorithm

Weitere Titelangaben:

Computational Design and Robotic Fabrication

Beteiligte:

Yuan, Philip F. (Herausgeber:in) / Chai, Hua (Herausgeber:in) / Yan, Chao (Herausgeber:in) / Li, Keke (Herausgeber:in) / Sun, Tongyue (Herausgeber:in) / Zhang, Ze (Autor:in) / Wu, Zhengwang (Autor:in)

Kongress:

The International Conference on Computational Design and Robotic Fabrication ; 2022 June 27, 2022 - July 05, 2022

Erschienen in:

Hybrid Intelligence ; Kapitel : 12 ; 138-149

Computational Design and Robotic Fabrication

Erscheinungsdatum :

2023-04-04

Format / Umfang :

12 pages

ISBN :

978-981-19-8637-6 , 978-981-19-8636-9

ISSN :