1st year doctor course
A genetic algorithm-based fenestration optimization method: focus on daylight use and reducing heat load
One of the most important reasons for the complexity of architectural design is that multiple purposes affect the overall performance of the design building. In many cases, these goals contradict each other.
Under the premise of seeking multi-objective optimization, in order to better connect the building design with the built environment design, the genetic algorithm is used to find the multi-objective optimal solution to balance the optimization of heat load and lighting environment. Change the appearance shape. Use building indicators to assess building environment early in design to guide building facade design
Building Environmental Engineering, Architectural Environment Design, multi-optimization
September, 2019 Doctor student in MaeLab, Architecture Department, Faculty of Engineering, the University of Tokyo, Japan.
September, 2019 Master’s degree in architecture from the University of Tokyo graduate school of engineering
September, 2017 Master student in MaeLab, Architecture Department, Faculty of Engineering, the University of Tokyo, Japan.
September, 2016 Research student in MaeLab, Architecture Department, Faculty of Engineering, the University of Tokyo, Japan.
July, 2016 Bachelor of Architecture, Architecture Department, Faculty of Architecture & Urban Planing, Shandong University of Architecture, PRC.
Architectural Institute of Japan
Major awards, publications, contributions, etc.
SABED DESIGN AWARD 2018 Grand Prize