Research on the Optimal Design of Indoor Environmental Control Equipment Based on Fluid Dynamics and Genetic Algorithm

Abstract

With the improvement of living standards, the comfort and health of indoor environments are increasingly valued by people. Devices such as air conditioners, air purifiers, and humidifiers are crucial for improving indoor environments. However, their structural design and control strategies directly affect the regulation effect. This study aims to improve the comfort and health of indoor environments while reducing energy consumption and enhancing energy efficiency by optimizing the design of indoor environmental control devices. For air conditioners, based on fluid dynamics and heat transfer principles, genetic algorithms are used to optimize the shape of air conditioners to achieve the best airflow and temperature distribution. For air purifiers, a fluid dynamics model based on the Navier-Stokes equations is constructed, and optimization algorithms are used to adjust the airflow path and shape of the purifier to maximize the filtration contact area, indicating that streamlined air purifiers perform best. This study promotes technological development and industry innovation, and promotes health and sustainability by optimizing the design of indoor environmental control devices using fluid dynamics and genetic algorithms.