Full-scale numerical simulation and experimental validation of the thermal environment under the heating mode in an air-conditioned room

Case Studies in Thermal Engineering, Journal Year: 2023, Volume and Issue: 51, P. 103548 - 103548

Published: Sept. 27, 2023

The numerical simulation of the air flow room equipped with crossflow fan conditioners has been conducted a lot. However, distribution under heating mode always difficult to match experimental data well, due fact that both temperature and are affected by buoyancy. In addition, very few full-scale simulations were conducted. To precisely predict conditioner, steady was Computational Fluid Dynamics (CFD) package. physical model constructed strictly according real settings, including detailed components air-conditioner, such as heat exchangers. Shear-Stress Transport (SST) k-ω turbulent selected simulate low Reynold near inner surface room, high transitional blades air-conditioner. porous medium used exchange fins in Furthermore, an experiment same condition also verify accuracy simulation. Results showed simulated supply rate 537.48 m3/h, producing 4.97% deviation from result. Meanwhile, upward movement outlet air-conditioner observed, leading higher temperatures upper region room. among all 210 measured points 149 had within ±5%, 194 ±10%. 9 abnormal greater door detected, which might be resulted outdoor cold leakage through crack between floor experiment. Conclusively, this study produced accurate reliable solution buildings, thus providing potential method for design or optimization air-conditioners.

Language: Английский

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Efficiency of a Modular Cleanroom for Space Applications

Fluid dynamics & materials processing, Journal Year: 2023, Volume and Issue: 20(3), P. 547 - 562

Published: Oct. 31, 2023

A prototype cleanroom for hazardous testing and handling of satellites prior to launcher encapsulation, satisfying the ISO8 standard has been designed analyzed in terms performances. Unsteady Reynolds Averaged Navier-Stokes (URANS) models have used study related flow field particulate matter (PM) dispersion. The outcomes URANS validated through comparison with equivalent large-eddy simulations. Special attention paid location shape air intakes their orientation space, order balance PM convection diffusion inside cleanroom. Forming a cyclone-type pattern is key maintaining high ventilation efficiency.

Language: Английский

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Particle Dispersion for Indoor Air Quality Control Considering Air Change Approach: A Novel Accelerated Cfd-Dnn Prediction

Published: Jan. 1, 2023

Computational Fluid Dynamics (CFD) is a well-established tool to study fluid dynamics and particle movement, while Artificial Neural Network (ANN) models offer machine learning capabilities accelerate indoor airflow predictions, but they still maintain reasonable level of accuracy for prediction purposes. This pioneers the integration Deep (DNN) into dynamics, aiming provide an accurate accelerated efficiency. The objective train DNN model capture complex relationships between ventilation rate, patterns, dispersion characteristics within buildings. Using dataset generated from CFD simulations encompassing various air change rates, trained significantly enhances efficiency (67%) by reducing computational time (1 h 20 min) also resulting in very similar compared outputs. significance this research lies its potential enhance assessing dispersion, allowing more efficient design targeted strategies quality control measures tailored diverse pollutant sources emitted humans. Integrating promising improving understanding facilitating data-driven decision-making ensuring healthier safer environments.

Language: Английский

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Is thermal-guided mobile air supply a practical measure in burn isolation wards? Potential future applications

Journal of Thermal Analysis and Calorimetry, Journal Year: 2024, Volume and Issue: unknown

Published: April 3, 2024

Language: Английский

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Assessing the Targeting Aerosol Removal Efficacy and Energy Efficiency of Portable Air Cleaner in Negative Pressure Isolation Ward

Published: Jan. 1, 2024

During the COVID-19 pandemic, negative-pressure isolation wards (NPIWs) became a crucial infrastructure for treating patients and safeguarding healthcare workers (HCWs). However, standard requirements full fresh air high changes per hour (ACH) make NPIWs extremely energy-intensive. The blind ventilation design of also poses potential exposure risks HCWs. To address these issues, portable cleaners (PACs) have been proven effective in removing bioaerosols from air, providing clean delivery rate (CADR) without need additional load. In this study, validated CFD model was used to simulate dispersion exhaled aerosols within an NPIW. impact incorporating PACs on targeting aerosol removal, HCW passive risk, wall deposition rates, energy consumption assessed. evaluate removal capacity PACs, we propose novel indicator called "TARGETINGPAC". gain comprehensive understanding various strategies NPIWs, transient distribution three different ACHs with simulated, resulting total 8 cases. simulations revealed that ceiling supply return is not suitable NPIWs. introduction reversed trend increasing by 38.5%-62.5%. Furthermore, reduced viral load HCWs' body surfaces walls while improving efficiency 12.6%-31.1% winter summer.

Language: Английский

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