Spatial and temporal distribution characteristics and sensitivity of meteorological parameters to long-wave radiation cooling in buildings: a case study of Xi’an

Abstract

Longwave radiation is a significant renewable energy technology for energy-saving in buildings. By evaluating the potential and distribution of longwave radiation in China, this study simplifies the calculation process in architectural design. Weather data from 115 stations across five typical thermal climates in China are used to simulate atmospheric longwave radiation effects throughout the year. Statistical regression analysis is conducted to identify key meteorological parameters affecting longwave radiation cooling. The results show that altitude significantly influences the potential for summer cooling (p = 0.79, R2 = 0.62), while winter cooling potential is positively correlated with latitude distribution (p = 0.88, R2 = 0.77). The study also reveals that dew point temperature, relative humidity, and cloud cover are important factors in the regression models for winter and summer, respectively. Overall, the empirical regression model demonstrates statistical significance and provides valuable insights for longwave radiation heat transfer calculations in buildings.

Keywords

• radiative cooling
• meteorological parameter
• numerical simulation
• climate resilience