Analysis of factors influencing indoor thermal environment in passive houses in Plateau regions based on regression model

Abstract

How to make full use of geographical advantage to improve the indoor thermal environment of passive buildings in plateau area has become a hot topic, which is of great significance for building energy conservation and thermal engineering design of passive buildings. This study took a residential house in Lhasa, Tibetas as the research object, obtained indoor air temperature distribution through field measurement. A multiple regression model was used to explore the influence of outdoor meteorological factors on indoor thermal environment. Results showed that the temperature near the south window was the highest mostly higher than 16 °C, and the vertical temperature gradient was higher than 7.5 °C with the solar radiation and outdoor temperature gradually raised during daytime. Besides, the vertical temperature difference is less than 3 °C as the distance from the south window increases, and the air temperature gradually goes down. The standardized regression coefficient (Beta) illustrated that solar radiation has the greatest influence on the indoor thermal environment compared with the outdoor temperature. Therefore, for direct gain passive buildings in Tibetan areas, the potential of reasonably setting transparent heat generation structures to improve the indoor thermal environment is far greater than that of improving the thermal insulation of non-transparent enclosures.