A novel dual swirling air curtain dust-control system: Design and similar experiment

Shen, Cheng; Wang, Dong; Zhang, Jing; Bi, Qiuping

doi:10.1016/j.jece.2024.113728

Journal of Environmental Chemical Engineering

2024

DOI: 10.1016/j.jece.2024.113728

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A novel dual swirling air curtain dust-control system: Design and similar experiment

Cheng Shen,

Dong Wang,

Jing Zhang

et al.

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2024

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Cited by 2 publications

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CFD numerical simulation of tunnel dust pollution control using a negative pressure double extraction ventilation system

Nie,

Cheng,

Liu

et al. 2024

Journal of Environmental Chemical Engineering

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CFD numerical simulation of tunnel dust pollution control using a negative pressure double extraction ventilation system

Nie,

Cheng,

Liu

et al. 2024

Journal of Environmental Chemical Engineering

View full text Add to dashboard Cite

Angle Control Algorithm for Air Curtain Based on GA Optimized Quadratic BP Neural Network

Zhao,

Shuai,

Zhang

et al. 2024

Buildings

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In air conditioning systems, air curtains play a crucial role in reducing the exchange of hot and cold air between the interior and exterior environments. Nevertheless, the majority of current air curtains suffer from limited airtightness and real-time performance due to their complex jet trajectory, relying on traditional control methods. Thus, this paper introduces an angle control algorithm for air curtains based on a GA-optimized quadratic BP neural network. Initially, the BP neural network is trained using the Hayes dataset to develop the prediction model for temperature-jet angle. Subsequently, the optimization model for jet angles-windshield angle is constructed, and the optimal angles set meeting the fitness function is identified using GA global search. Later, the prediction model and the optimal angles set are once again trained using the BP neural network to generate prediction model for temperature-jet angles and windshield angle. Following CFD simulation, the airtightness indicator demonstrated a 26.5% improvement with the proposed control method compared to traditional ones, highlighting the superior airtightness. In comparison to other algorithms, the proposed algorithm demonstrates a remarkable 89% enhancement in real-time performance and stronger robustness. This study presents a novel approach for the intelligent control of air curtains, holding significant importance in advancing the intelligent development of air curtain technology and facilitating energy efficiency and emission reduction.

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A novel dual swirling air curtain dust-control system: Design and similar experiment

Cited by 2 publications

References 28 publications

CFD numerical simulation of tunnel dust pollution control using a negative pressure double extraction ventilation system

CFD numerical simulation of tunnel dust pollution control using a negative pressure double extraction ventilation system

Angle Control Algorithm for Air Curtain Based on GA Optimized Quadratic BP Neural Network

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