Wang Jiahe

1st year doctor course

Nationality: Chinese

Research Theme

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

Specialized field

Building Environmental Engineering, Architectural Environment Design, multi-optimization

Education

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.

Affiliation

Architectural Institute of Japan

Major awards, publications, contributions, etc.

SABED DESIGN AWARD 2018  Grand Prize