MINGHAO XU 

Uyghur-zero

Genetic algorithm optimized net-zero community based on Hotan "Ayiwang" house

Undergraduate Program @ Southeast University

Team: Minghao Xu.

Instructor: Associate Prof. Jing Yang

​

Leveraging Hotan, Xinjiang's climate-adaptive "Ayiwang" architecture and photovoltaic resources, this project employs genetic algorithms to design a localized zero-carbon community in line with China's 2060 neutrality goal.

The global climate problem is becoming increasingly serious, and buildings should assume more environmental and energy responsibilities. In the context of China's commitment to achieve carbon neutrality by 2060, it is necessary to develop a localized zero-carbon community design model.

The project is located in Hotan, Xinjiang, China, an area with extreme desert climate and sufficient sunshine intensity. The local residential building "Ayiwang" is known for its high climate adaptability and passive energy-saving performance. Therefore, we combined the local developed photovoltaic industry with local residential buildings, using genetic algorithms to optimize the building form, and created a collective residential community that conforms to the local lifestyle and meets zero-carbon standards.

In all, this project focuses on discussing the climate adaptability, locality and physical optimization methods of zero-carbon community buildings.

Rendering and Introduction

Background and Prototype

Generation

System overview

Roof and first floor plans

Axonometric scenario

Experiment model and detailed section