研究目的
Investigating the use of polyethylene aerogel (PEA) for high-performance subambient radiative cooling by reducing solar absorption and improving thermal insulation at the emitter.
研究成果
The development of polyethylene aerogel (PEA) as an optically selective and thermally insulating cover for radiative cooling emitters has demonstrated significant improvements in cooling performance, including a daytime ambient temperature cooling power of 96 W/m2 and passive cooling up to 13°C below ambient temperature. This approach addresses key limitations of previous radiative cooling technologies by reducing solar absorption and parasitic heat gain, offering potential for simpler and more cost-effective cooling solutions.
研究不足
The study's findings are specific to the conditions under which the experiments were conducted, including atmospheric conditions and solar irradiance levels. The scalability and cost-effectiveness of PEA fabrication for large-scale applications were not fully explored.
1：Experimental Design and Method Selection:
The study involved the development and characterization of polyethylene aerogel (PEA) for its optical and thermal properties. A theoretical model was developed to predict the cooling performance of emitters coupled with PEA under various conditions.
2：Sample Selection and Data Sources:
Custom-fabricated PEA samples were used, with their optical properties determined through spectrophotometry and Fourier transform infrared spectroscopy.
3：List of Experimental Equipment and Materials:
Equipment included a spectrophotometer, Fourier transform infrared spectrometer, thermal conductivity setup, and weather measurement instruments. Materials included polyethylene aerogel, selective emitters, and various measurement probes.
4：Experimental Procedures and Operational Workflow:
The PEA was fabricated using a thermally induced phase separation process. Its thermal conductivity was measured using a guarded-hot-plate method. Optical properties were measured to determine solar reflectance and IR transmittance. Cooling performance was evaluated through stagnation temperature and cooling power measurements under direct sunlight.
5：Data Analysis Methods:
A theoretical model combining conductive and radiative heat transfer was used to predict cooling performance. Experimental data were compared with model predictions to validate the approach.
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