Influence of block-partition number in Block-Gebhart model on prediction of thermal environment parameters and stratified air conditioning load in large space buildings

Lu Kaiwen, Huang Chen, Li Ruibin, Liu Yang, Wang Xin, Wang Haidong and Wang Fei

2021.03.25

One of the keys to the application of the Block-Gebhart (B-G) model is to determine the number of vertical space divisions. Derives the coefficient expression of the energy balance equation of B-G model with any partition number. Taking a scaled laboratory of a large space building using low-sidewall air-supply system as the research object, respectively divides the vertical space into two zones, four zones and seven zones to establish three models and predict the thermal environment parameters and stratified air conditioning load, and verifies the prediction accuracy by the data of seven experimental cases. The results show that the 4-block model is more accurate than 2-block model and 7-block model in predicting indoor thermal environment parameters and stratified air conditioning load. It is reasonable to choose 4-block model as the B-G model for the research object of this article. The key of block-partition number is better reflecting the characteristics of building structure and air distribution.