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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Elsevier
2025-01-01
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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 |
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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. |
format | Article |
id | doaj-art-5ccedc81421d4cf782748eb8c69faf71 |
institution | Kabale University |
issn | 2214-157X |
language | English |
publishDate | 2025-01-01 |
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 |
work_keys_str_mv | AT chenwang multiobjectiveoptimizationofsupplyairinletstructureforimpingingjetventilationsystembasedonradialbasisfunctionneuralnetwork AT kehu multiobjectiveoptimizationofsupplyairinletstructureforimpingingjetventilationsystembasedonradialbasisfunctionneuralnetwork AT yinliu multiobjectiveoptimizationofsupplyairinletstructureforimpingingjetventilationsystembasedonradialbasisfunctionneuralnetwork |