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

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...

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Main Authors: Chen Wang, Ke Hu, Yin Liu
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Case Studies in Thermal Engineering
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Online Access:http://www.sciencedirect.com/science/article/pii/S2214157X24016605
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author Chen Wang
Ke Hu
Yin Liu
author_facet Chen Wang
Ke Hu
Yin Liu
author_sort Chen Wang
collection DOAJ
description 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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publisher Elsevier
record_format Article
series Case Studies in Thermal Engineering
spelling doaj-art-5ccedc81421d4cf782748eb8c69faf712025-01-08T04:52:42ZengElsevierCase Studies in Thermal Engineering2214-157X2025-01-0165105629Multi-objective optimization of supply air inlet structure for impinging jet ventilation system based on radial basis function neural networkChen Wang0Ke Hu1Yin Liu2Corresponding author.; School of Smarts Energy and Environment, Zhongyuan University of Technology, Zhengzhou, 451191, ChinaSchool of Smarts Energy and Environment, Zhongyuan University of Technology, Zhengzhou, 451191, ChinaSchool of Smarts Energy and Environment, Zhongyuan University of Technology, Zhengzhou, 451191, ChinaA 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.http://www.sciencedirect.com/science/article/pii/S2214157X24016605Radial basis function neural networkGenetic optimization algorithmImpinging jet ventilationSupply air inlet structureIndoor ventilation
spellingShingle Chen Wang
Ke Hu
Yin Liu
Multi-objective optimization of supply air inlet structure for impinging jet ventilation system based on radial basis function neural network
Case Studies in Thermal Engineering
Radial basis function neural network
Genetic optimization algorithm
Impinging jet ventilation
Supply air inlet structure
Indoor ventilation
title Multi-objective optimization of supply air inlet structure for impinging jet ventilation system based on radial basis function neural network
title_full Multi-objective optimization of supply air inlet structure for impinging jet ventilation system based on radial basis function neural network
title_fullStr Multi-objective optimization of supply air inlet structure for impinging jet ventilation system based on radial basis function neural network
title_full_unstemmed Multi-objective optimization of supply air inlet structure for impinging jet ventilation system based on radial basis function neural network
title_short Multi-objective optimization of supply air inlet structure for impinging jet ventilation system based on radial basis function neural network
title_sort multi objective optimization of supply air inlet structure for impinging jet ventilation system based on radial basis function neural network
topic Radial basis function neural network
Genetic optimization algorithm
Impinging jet ventilation
Supply air inlet structure
Indoor ventilation
url http://www.sciencedirect.com/science/article/pii/S2214157X24016605
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AT kehu multiobjectiveoptimizationofsupplyairinletstructureforimpingingjetventilationsystembasedonradialbasisfunctionneuralnetwork
AT yinliu multiobjectiveoptimizationofsupplyairinletstructureforimpingingjetventilationsystembasedonradialbasisfunctionneuralnetwork