Block-Gebhart模型分区数对预测大空间热环境参数及负荷的影响
Influence of block-partition number in Block-Gebhart model on prediction of thermal environment parameters and stratified air conditioning load in large space buildings
摘要：
Block-Gebhart (B-G)模型应用的关键之一是确定竖向空间划分的区域数。推导了任意分区数B-G模型的能量平衡方程的系数表达式。以某大空间下送风分层空调缩尺模型实验室为对象，建立了2、4、7分区的B-G模型来预测室内热环境参数和分层空调负荷，并采用7个工况的实验数据予以验证。结果表明：4分区模型对室内热环境参数和冷负荷的预测准确性比2分区、7分区模型更好；就本文研究对象而言，选择4分区模型作为B-G模型比较合理；能较好反映建筑结构、气流组织等特点是确定区域划分数的关键。
Abstract：
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.
Keywords:Block-Gebhartmodel,partitionnumber,largespacebuilding,thermalenvironmentparameter,stratifiedairconditioningload