A multi-node model was developed to predict the vertical temperature profiles of a stratified air-conditioning system in a certain large space building with low-sidewall air supply and return. Then experiments were carried out in the building under 5 working conditions with a different air volume (1.5×104–2.5×104 m3/h) and outdoor meteorological parameters (28-34 ℃). The results show that the maximum relative errors of the calculated values of each condition are 6%

7%

14%

-6%

and 15%

respectively

and the average standard deviation of each condition is 2.05 ℃

which validated the multi-node model. Afterwards

the multi-node model was used to analyze the characteristics of the thermal environment of stratified air-conditioning system in large space buildings with low-sidewall air supply and return by changing air volume

outdoor air temperature

and solar radiation. Finally a graph is drawn to guide the adjustment of air volume as indoor and outdoor environmental parameters changes.