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            暖通空調雜志社>期刊目次>2021年>第3期

            Block-Gebhart模型分區數對預測大空間熱環境參數及負荷的影響

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

            路凱文[1] 黃晨[1] 李瑞彬[2] 劉洋[3] 王昕[4] 王海東[4] 王非[4]
            [1]上海理工大學 [2]同濟大學 [3]同濟大學建筑設計研究院(集團)有限公司 [4]上海理工大學

            摘要:

            Block-Gebhart (B-G)模型應用的關鍵之一是確定豎向空間劃分的區域數。推導了任意分區數B-G模型的能量平衡方程的系數表達式。以某大空間下送風分層空調縮尺模型實驗室為對象,建立了2、4、7分區的B-G模型來預測室內熱環境參數和分層空調負荷,并采用7個工況的實驗數據予以驗證。結果表明:4分區模型對室內熱環境參數和冷負荷的預測準確性比2分區、7分區模型更好;就本文研究對象而言,選擇4分區模型作為B-G模型比較合理;能較好反映建筑結構、氣流組織等特點是確定區域劃分數的關鍵。

            關鍵詞:Block-Gebhart模型,分區數,大空間建筑,熱環境參數,分層空調負荷

            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

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