Experimental Studies and Computational Fluid Dynamics Simulations to Evaluate the Characteristics of the Air Velocity Profile Generated by the Positive Pressure Ventilator

Determining the appropriate position of a positive pressure ventilator, where it exhibits the highest efficiency (measured by the achieved volumetric flow rate), can influence the success of rescue operations conducted by fire protection units. The aim of this article is to evaluate the possibility of using LES (Large Eddy Simulation) analyses to verify the positioning parameters of positive pressure ventilators in numerical simulation conditions, without the need for time-consuming experiments. The article presents a comparative analysis of full-scale experimental studies (conducted on a test setup to assess the velocity profile of the air jet in open flow) and CFD numerical analyses. The analysis confirmed the convergence of the flow rate parameter entering the surface of the door opening model installed on the test setup. Depending on the distance of the ventilator position (1–7 m), a convergence degree ranging from 1.6% to 3.8% was achieved for the volumetric flow rate. This publication demonstrates that the LES model is a suitable tool for effectively determining the working positions of positive pressure ventilators, as defined in real working conditions (open flow). The analysis may serve as a helpful tool for manufacturers of mobile ventilators, who can use the method for the technological testing of their units without conducting time-consuming experiments.

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Publication Details

Journal
Applied Sciences
Published
2025-02-21
DOI
https://doi.org/10.3390/app15052332
Citations
1
Primary Topic
Refrigeration and Air Conditioning Technologies
Type
article
Field-Weighted Citation Impact
0.71

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article

Experimental Studies and Computational Fluid Dynamics Simulations to Evaluate the Characteristics of the Air Velocity Profile Generated by the Positive Pressure Ventilator

Tomasz Sowa, Piotr Kaczmarzyk, Tomasz Popielarczyk, Łukasz Warguła et al.
1 citations
Applied Sciences
Refrigeration and Air Conditioning Technologies
0.71
article

Experimental Studies and Computational Fluid Dynamics Simulations to Evaluate the Characteristics of the Air Velocity Profile Generated by the Positive Pressure Ventilator

Tomasz Sowa, Piotr Kaczmarzyk, Tomasz Popielarczyk, Łukasz Warguła, Bartosz Ziegler, Tomasz Burdzy, Piotr Antosiewicz
article en
1 citations

Abstract

Determining the appropriate position of a positive pressure ventilator, where it exhibits the highest efficiency (measured by the achieved volumetric flow rate), can influence the success of rescue operations conducted by fire protection units. The aim of this article is to evaluate the possibility of using LES (Large Eddy Simulation) analyses to verify the positioning parameters of positive pressure ventilators in numerical simulation conditions, without the need for time-consuming experiments. The article presents a comparative analysis of full-scale experimental studies (conducted on a test setup to assess the velocity profile of the air jet in open flow) and CFD numerical analyses. The analysis confirmed the convergence of the flow rate parameter entering the surface of the door opening model installed on the test setup. Depending on the distance of the ventilator position (1–7 m), a convergence degree ranging from 1.6% to 3.8% was achieved for the volumetric flow rate. This publication demonstrates that the LES model is a suitable tool for effectively determining the working positions of positive pressure ventilators, as defined in real working conditions (open flow). The analysis may serve as a helpful tool for manufacturers of mobile ventilators, who can use the method for the technological testing of their units without conducting time-consuming experiments.

Applied SciencesVol. 15(5)
Jagiellonian University (PL), Scientific and Research Centre for Fire Protection (PL), Instytut Techniki Budowlanej (PL), Poznań University of Technology (PL), AGH University of Krakow (PL)
Ministry of Science and Higher Education of the Russian Federation
Openalex Percentile: Top 36%
Refrigeration and Air Conditioning Technologies
0.71
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