Title A Shading Device Design Methodology for Curtain-Wall Buildings: Balancing Heating and Cooling Loads with Light Environment Considerations
Authors 김호정(Kim, Ho-Jeong) ; 최우석(Choi, Woo-Seok) ; 진하윤(Jin, Ha Yoon)
DOI https://doi.org/10.5659/JAIK.2023.39.11.3
Page pp.3-14
ISSN 2733-6247
Keywords External shade; Heating and Cooling Loads on a yearly basis; Light Environment; Shielding area ratio; Parametric Algorithms; sDA (Spatial daylight autonomy); ASE (Annual sunlight exposure)
Abstract This study aims to propose a practical methodology for designing shading devices in curtain-wall buildings, considering heating and cooling loads as well as light environments on a yearly basis from the perspective of designers. The research emphasizes the potential increase in heating loads during winter due to excessive sunshade design. The study focuses on office spaces and determines the most efficient shielding area ratio for each azimuth throughout the year for external shading devices. Subsequently, a parametric shape generation algorithm is developed and used to evaluate the resulting sunshade shapes. The findings of this research are as follows: Firstly, horizontal shades are generally more effective in blocking sunlight. Secondly, meeting the sDA value threshold in curtain wall facade buildings did not pose significant challenges. However, in the south, southwest, and southeast orientations, the length of horizontal shades required to satisfy the ASE value recommended by LEED substantially increased the heating loads during winter. Consequently, it is more reasonable to regulate ASE through the use of internal movable blinds, depending on the building's orientation. Thirdly, sunshades with the same shielding area ratio for each azimuth exhibited similar heating and cooling load values throughout the year. This allows for the creation of various types of sunshade generation algorithms targeting the optimal shielding area ratio for each azimuth. Finally, the study confirms the feasibility of real-time selection of shading devices by comparing their environmental performance evaluations, including heating and cooling loads, sDA, and ASE, based on shades generated by the algorithm.