Numerical Simulation of the Passive Radiative Cooling Fabric Based on Fiber-Yarn-Texture-Doping Particle 3D Model

Developing passive radiative cooling fabrics could effectively prevent the harmful consequences of global warming, including heat stress and other related illnesses. By enhancing the material compositions and optimizing the structural parameters of conventional fabrics, the creation of radiative cooling fabric that offers both comfort and durability holds great potential. However, the researched simulation models are over-simplistic, rendering it challenging to precisely portray the fine fabric's structure with the low accuracy of optical properties prediction. In this work, a high-fidelity model is developed for fabric structure, which allows for precise control of structural parameters of fiber, yarn, texture, and doping particles. Subsequently, by utilizing the FDTD Solutions software, the optical performance of the fabric model is successfully addressed. Furthermore, the coupled heat transfer equation is employed to determine the actual cooling effect of the fabric. It is observed that doping 1% TiO2 nanoparticles and increasing the number of fibers significantly enhances the solar reflectivity, resulting in a cooling effect of approximately 2 degrees C. To maintain the skin temperature of 34 degrees C, the additional cooling energy required would be reduced by 36 W m-2. These findings are expected to provide crucial guidance and predictions for the development of passive radiative cooling fabrics. A 3D model is developed to depict the structure of fabric at macroscopic and microscopic levels, incorporating fibers, yarns, fabric, and doped particles. This model is employed for radiative cooling performance calculations. Optical and thermal simulation calculations are conducted to demonstrate the complete process of radiative cooling fabric computation, resulting in a substantial reduction in experimental requirements. image