Abstract Impinging jet ventilation (IJV) system is believed to combines the advantages of good indoor air quality (IAQ) and high energy efficiency. However, there is few study about the optimization of multiple performance characteristics and the significance of design variables on the ventilation performance is not clear for IJV. This study addresses an approach based on Taguchi method with grey relational analysis for optimizing an IJV system with multiple performance characteristics (including draught discomfort (PD), temperature difference between the head and ankle level (ΔT), air change efficiency (ACE) and energy utilization coefficient (EUC)). The supply inlet height, supply velocity, supply temperature and return outlet height are selected as factors that affecting the ventilation performance of IJV and L9 (43) orthogonal array is employed to design the experiments. First, the optimal combinations for PD, ΔT, ACE and EUC are determined separately by Taguchi method coupled with numerical simulations and the significance of the studied factors in promoting each evaluation index is revealed and ranked through main effect analysis and ANOVA. Second, the optimal combination of design variables corresponding to the best overall performance for IJV is determined by converting multi-objective into a single-objective according to Taguchi-based grey relational analysis. Then the important factors influencing the overall performance is ranked and the heights of supply inlet and return device are found to be significant factors in improving the overall performance. Finally, a confirmatory test is conducted to verify the improvement of performance characteristics and satisfactory results are obtained.

中文翻译：

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基于田口灰色关联分析的冲击射流通风系统整体通风性能多目标优化研究

摘要 冲击射流通风（IJV）系统被认为结合了良好的室内空气质量（IAQ）和高能效的优点。然而，关于多性能特性优化的研究较少，设计变量对IJV通风性能的意义尚不清楚。本研究提出了一种基于田口方法和灰色关联分析的方法，用于优化具有多种性能特征（包括通风不适 (PD)、头部和脚踝水平之间的温差 (ΔT)、换气效率 (ACE) 和能量）的 IJV 系统。利用系数（EUC））。供料口高度、供料速度、选择送风温度和回风口高度作为影响IJV通风性能的因素，采用L9(43)正交阵列设计实验。首先，通过田口方法结合数值模拟分别确定PD、ΔT、ACE和EUC的最佳组合，并通过主效应分析和ANOVA揭示和排序研究因素对各评价指标的促进作用。其次，根据基于田口的灰色关联分析，通过将多目标转换为单目标来确定与 IJV 最佳整体性能相对应的设计变量的最佳组合。然后对影响整体性能的重要因素进行排序，发现进水口和回水装置的高度是提高整体性能的重要因素。最后，进行了验证测试以验证性能特性的改进并获得了满意的结果。