高层办公建筑空调冷负荷率分布影响因素研究

对时间频数图、概率分布图这两种负荷率分布的表示方法进行了比较。以不同的城市、不同的新风方式、分内外区与否为3类基本不同条件，用正交表安排剩余因素并用DOE-2软件进行模拟试验考察影响高层办公建筑冷负荷率分布的显著因素。用对所有模拟出的分布曲线进行不同的分组、考察组间曲线吻合性的方法，重点考察了对冷负荷率分布起主要影响的人员密度、新风指标这两个因素的联合作用，该结论在3类基本不同条件下都成立。进一步分析得出可围绕单位空调面积新风量取值变化给出分布数据，从而提出了一种简化方法，且有足够的准确度。

Factors influencing air-conditioning cooling load rate distribution in high-rise office buildings

A comparison of the two displaying methods of cooling-load rate distribution, that is, time frequency chart and probability distribution curve, is made. Under the three basic kinds of different conditions, namely, different cities, different fresh air supply ways and distinguishing interior and exterior zone, the factors that notably influence the cooling-load rate distribution in high-rise office building are found by arranging spare factors resort to orthogonal table and afterward simulating by DOE-2. The conclusion that the combination of person density and fresh air index mostly affects the cooling-load rate distribution is got by the method of grouping the curves after simulation and evaluating the fitness of the curves in every group.The conclusion is right in all the three basic kinds of different conditions. Through farther analysis, it is found that the distribution data can be given according to the volume of fresh air per air-conditioning area. It is a simplified method and is fairly right.