Application on Evolutionary Computing of Building Performance in Architectural Design-Focusing on Thermal, Light and View of the Office Space-

Environmental factors such as light, heat, and vision are some examples of the most significant contexts affecting the overall architectural and urban environment. With the recent development in computation, environmental data, which can conveniently be converted into numerical values, has begun to gain attention in the field of architecture. The exclusive technology and specialized knowledge to utilize environmental data are distributed through open sources. As a result, the process of optimizing environmental data is evolving in various forms in academia and professional practices. This research examines the potential applications of methodologies utilizing quantifiable environmental data such as light, heat in architectural practices through multi-staged optimization processes and their uses as a crucial decision-making tool in the design processes. In this research, the quantitatively measurable environmental data such as light, heat, air, and viewing angles are examined in two or more stages of evaluation. The winning design proposal for the New Government Complex in Gangseo-gu (2021) was selected as a case study with a focus on optimizing the workspace, the most affected space by the environment. This research examines the applications of evolutionary computation to analyze building performances and their processes. The size and shape of the building considering the thermal performance and natural light; form, and density of external shading systems for radiant heat mitigation; and privacy control according to the composition and illuminance of the spaces facing the atrium are applied on the case building in professional architectural practice. This research expects to contribute to educators and practitioners in applications of environmental data at various scales in architecture and urban design.