DOI QR코드

DOI QR Code

파라메트릭 디자인 기법과 유전알고리즘을 적용한 성능기반 공동주택 계획 방법 연구 - 일조 최적화를 중심으로 -

A Study on the Performance-based Apartment Planning Methodology Using Parametric Design Techniques and Genetic Algorithm - Focusing on the Sunlight Optimization -

  • 정요한 (인디드랩) ;
  • 권영상 (서울대학교 건설환경공학부, 서울대학교 차세대융합기술연구원 스마트시티 연구센터)
  • 투고 : 2021.03.04
  • 심사 : 2021.12.13
  • 발행 : 2021.12.30

초록

Most of the housing types in Korean cities are composed of apartment houses, and the proportion is increasing more and more. And the living environment tends to get worse due to high-density development. In particular, the sunlight environment of inside and outside the residential complex is becoming poor by high-density development. Since the sunlight environment is a factor directly connected to human health, this situation is recognized as a social problem. In order to solve this problem, in this study, a new planning process was established by applying the parametric design methodology to high-rise apartment plans. This study first examined the concept and principle of parametric design through literature review, and confirmed the possibility of application to Korean apartment site plans. In order to optimize the sunlight environment in the complex, a process that allows real-time analysis of the sunlight environment by modifying the alternative plans at the initial stage of planning was proposed. In addition, a process was established to minimize the external impact of the new development and its effectiveness was verified. As a result, it was possible to optimize the sunshine environment in the complex through the real-time planning evaluation process. In addition, by using the new planning guide derived through the parametric design process, it was possible to achieve optimization of the plan that maximizes the floor area ratio of the project while minimizing the impact of sunlight on the adjacent area caused by the new development.

키워드

과제정보

This research was supported by the Basic Science Research Program through the National Research Foundation of Korea funded by the Ministry of Education (2018R1D1A1B07048832) and the Creative-Pioneering Researchers Program through Seoul National University. This work was supported by the Integrated Research Institute of Construction and Environmental Engineering, and the Institute of Engineering Research at Seoul National University.

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