Abstract

Radiative cooling (RC) has emerged as a promising technology for passive cooling applications, offering a sustainable and energy-efficient solution to alleviate the increasing demand for air conditioning. This study focuses on a numerical investigation aimed at understanding and optimizing the test box used to evaluate the thermal performance of samples of radiative cooling materials. The numerical simulations employ advanced computational models to analyze key factors influencing the thermal behavior of the test box under varying several boundary conditions. The study also explores the thermal interaction between the test box and its surroundings, considering the effects of ambient temperature and air heat transfer coefficient. The numerical simulations provide valuable insights into the dynamic thermal behavior of the test box, aiding in the development of optimized designs that minimize parasitic heat gains, which may hide the actual cooling performance of the RC sample under real conditions. The outcomes of this numerical investigation contribute to the ongoing efforts in the field of radiative cooling, and the development of a test box for radiative cooling materials

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