Multi-objective optimization of supply air inlet structure for impinging jet ventilation system based on radial basis function neural network

IF 6.4 2区工程技术 Q1 THERMODYNAMICS Case Studies in Thermal Engineering Pub Date : 2024-12-09 DOI:10.1016/j.csite.2024.105629

Chen Wang, Ke Hu, Yin Liu

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Abstract

A multi-objective optimization of the supply air inlet structure for Impinging Jet Ventilation (IJV) was conducted based on the Radial Basis Function Neural Network (RBFNN) and using a genetic optimization algorithm. The Predicted Mean Vote at the occupant's ankle level (PMV0.1) and the Energy Utilization Coefficient (Et) exhibited significant variability across different inlet structures, thus they were selected as optimization objectives. The predicted results showed substantial consistency with numerical simulations. Within the selected parameter range, the optimal PMV0.1 value was −0.17, and the optimal Et value was 3.57. Furthermore, by adjusting the weights of different optimization objectives, suitable structural parameters can be determined. It was also concluded that, for the given indoor ventilation conditions, the length of the supply air inlet structure should be shorter than its width to better enhance the PMV0.1 value in the areas surrounding occupants.

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基于径向基函数神经网络（RBFNN）并使用遗传优化算法，对撞击式射流通风（IJV）的送风口结构进行了多目标优化。居住者脚踝处的预测平均值（PMV0.1）和能量利用系数（Et）在不同的进气口结构中表现出显著的差异性，因此被选为优化目标。预测结果与数值模拟结果基本一致。在所选参数范围内，PMV0.1 的最优值为 -0.17，Et 的最优值为 3.57。此外，通过调整不同优化目标的权重，可以确定合适的结构参数。研究还得出结论，在给定的室内通风条件下，送风口结构的长度应短于宽度，以更好地提高居住者周围区域的 PMV0.1 值。

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来源期刊

Case Studies in Thermal Engineering Chemical Engineering-Fluid Flow and Transfer Processes

CiteScore

8.60

自引率

11.80%

发文量

812

审稿时长

76 days

期刊介绍： Case Studies in Thermal Engineering provides a forum for the rapid publication of short, structured Case Studies in Thermal Engineering and related Short Communications. It provides an essential compendium of case studies for researchers and practitioners in the field of thermal engineering and others who are interested in aspects of thermal engineering cases that could affect other engineering processes. The journal not only publishes new and novel case studies, but also provides a forum for the publication of high quality descriptions of classic thermal engineering problems. The scope of the journal includes case studies of thermal engineering problems in components, devices and systems using existing experimental and numerical techniques in the areas of mechanical, aerospace, chemical, medical, thermal management for electronics, heat exchangers, regeneration, solar thermal energy, thermal storage, building energy conservation, and power generation. Case studies of thermal problems in other areas will also be considered.