A Parameterized Design Method for Building a Shading System Based on Climate Adaptability

• Published in: Atmosphere 2022-08, Vol.13 (8), p.1244
• Main Authors: Wang, Shiliang, Zhang, Qun, Liu, Peng, Liang, Rui, Fu, Zitian
• Format: Article
• Language: English
• Subjects: Adaptability; Adaptive systems; Air conditioning; Algorithms; Architects; Architecture; Construction; Design; Design parameters; Design techniques; Designers; Emissions control; Energy; Energy conservation; Energy consumption; Environmental aspects; Environmental factors; exterior shading system; Genetic algorithms; Green buildings; Indoor environments; Ladybug Tools; Logic; Mathematical optimization; Methods; Optimization; parametric design; Parametric statistics; performance objective; Radiation; Shading; Simulation; Software
• ISSN: 2073-4433; 2073-4433
• DOI: 10.3390/atmos13081244

The relationship between environmental factors and the indoor physical environment is very close, and external shading is considered an effective way to adjust the interaction between the indoor and outdoor environment. However, determining how to set up an external shading system remains a notable issue. In the early design stage, architects have adopted the process of designing the form and function first and then checking whether those characteristics meet the energy-saving specifications. However, this process involves a great deal of repetitive and inefficient work and cannot meet the requirements of energy savings and emission reductions in a global context. Therefore, it is particularly important to seek a design method that combines energy-saving design with form-based design. This paper takes a construction project in Northwest China as its research object. In this study, typical parametric models for external shading are designed. Furthermore, indoor performance objectives based on light environment analysis are proposed, and Ladybug Tools and the genetic algorithm (GA) are used for optimization and verification. The optimization results show that the adaptive shading system can significantly reduce the total cooling energy consumption per unit area in summer by 20% and 15%, respectively. The comfort level throughout the year improved by 14.8% (air conditioning on) and 4.7% (air conditioning off). This study proposes a fast and effective shading parametric design method for architects in the early stage, improving the efficiency and accuracy of performance-based design.