Effective properties of semitransparent radiative cooling materials with spectrally variable properties. (25th March 2022)

• Record Type: Journal Article
• Authors: Kishore, Ravi Anant; Booten, Chuck; Wijesuriya, Sajith
• Is Part Of: Applied thermal engineering. Volume 205(2022)
• Publication Date: 2022-03-25
• Subjects: Radiative cooling -- Spectral variable properties -- Effective properties -- Semitransparent coating -- Participating substrate; Heat engineering -- Periodicals; Heating -- Equipment and supplies -- Periodicals; Periodicals; 621.40205
• DOI: 10.1016/j.applthermaleng.2022.118048
• Languages: English
• ISSNs: 1359-4311

Abstract

Highlights: Radiative cooling with semitransparent radiative coating and participating substrate. Iterative method to calculate effective radiative properties from spectrally variable parameters. Overall estimation error of less than 0.2%. Beneficial for applications requiring lumped solar and thermal radiation related parameters. Abstract: Radiative cooling is a promising solid-state, non-vapor-compression technology for passive refrigeration and air conditioning. Although this phenomenon occurs naturally, achieving a significant amount of cooling to make it a technically and economically viable technology requires highly engineered, spectrally selective radiative surfaces. These characteristics make radiative cooling difficult to estimate, particularly when it is integrated with other systems such as photovoltaic panels or building envelopes. The complexity further increases when the substrate also participates in the radiative cooling (along with the radiative coating). Energy estimation is becoming increasingly critical because of the recent focus on the semitransparent radiative coatings that transmit a variety of colors to enhance the aesthetic appeal of the system. Here, we propose an iterative method to calculate the effective radiative properties, which provides the same net radiative cooling that would be observed using the spectral properties at both the coating and substrate surfaces. Compared to traditional methods that rely on either computationally expensive full spectral analysis or methods for averaging each radiative surface parameter locally, our proposed method focuses on calculating effective properties that provide the same the net cooling effect as a full spectral analysis by accounting the emissivity, absorptivity, and transmissivity collectively, thereby providing an overall estimation error of less than 0.2%. We believe that this study will be beneficial to the engineering communities that employ complex simulation codes and require lumped solar and thermal radiation related parameters.