.png){kind=icon}
.png){kind=icon}
Return
Evaluating the efficacy of solar-trajectory-inspried curved building skins: A multi-objective optimization for energy, thermal, and daylighting performance
.png){kind=icon}
OA
AI
M
J
J
P
Q
W
X
DOI：10.1016/j.csite.2026.108394.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
To investigate the performance implications of building skin geometry, this study develops and applies an integrated parametric optimization framework to a solar-trajectory-inspired Curved Building Skin (CBS), strengthening the connection between architectural form generation and building performance evaluation. Taking the standard floor of a typical office building in Qingdao as a case study, performance simulations were conducted using three key indicators: energy consumption, indoor thermal comfort, and daylighting. Then, an automated workflow was built using Grasshopper and Ladybug Tools. In this study, key parametric variables of the CBS, including the number of horizontal and vertical divisions, blade width, and rotation angle, were defined and applied to the south, north, east, and west zones. Radiance and EnergyPlus were employed for simulation, while a Python-based Multi-Objective Optimization (MOO) and Multi-Criteria Decision Making (MCDM) approach identified optimal solutions under four weighting conditions. Consequently, design, evaluation, and selection were integrated into a closed-loop system. Results indicate that the optimized CBS achieved significant improvements over the baseline: energy consumption was reduced by 47.85%–51.67%, thermal comfort improved by 90.24%–108.10%, and daylighting increased by 42.08%–53.74%. Additional comparison with parameter-matched conventional horizontal louvers showed that the CBS maintained lower EUI and higher TCP and UDI100–3000 under all four weighting conditions. These results demonstrate the substantial performance potential of the investigated CBS. By translating dynamic solar logic into high-performance static forms, this design methodology and simulation process provide architects with a scientific basis and practical tools for performance-based quantitative skin design.
Keywords:
Curved Building Skin (CBS)
Built environment
Indoor thermal comfort
Energy efficiency
Daylighting
Multi-objective optimization
Case study
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
6.4
Papers:
8.0K
Citations:
2.6W
Organization
Cited Papers