Optimization of Daylit Space
We apply a multi-objective genetic algorithm to optimize the daylight environment, develop a new formula to quantity the occupants’ perception, and design a framework to compare the different shading strategies.
Posts by Collection
project
Glare detection
The introduction is coming soon…..
Energy consumption forecasting in urban scale
The introduction is coming soon…..
publications
Comparing the performance of four shading strategies based on a multi-objective genetic algorithm: A case study in a university library
Published in Journal of Building Engineering, 2023
This paper is about the optimization of building environment and quantitive subjective perception.
Recommended citation: Wen S, Hu X, Hua G, et al. Comparing the performance of four shading strategies based on a multi-objective genetic algorithm: A case study in a university library[J]. Journal of Building Engineering, 2023, 63: 105532. https://doi.org/10.1016/j.jobe.2022.105532
talks
Building simulation
Published:
The introduction of the talks is coming soon…
teaching
Part-time teaching assistant
Design of Ecology Architecture, Shanghai Jiao Tong University, Department of Architecture, 2022
In this course, I guided students in using daylight simulation tools and addressed the practical challenges they encountered.