Analysis of metabolic CO2 concentration field in a small mechanically ventilated occupied enclosure

Markov, Detelin; Mijorsky, Sergey; Симова, Искра; Stankov, Peter; Angelova, Radostina A.

doi:10.1063/1.5133558

Cited by 4 publications

(4 citation statements)

References 4 publications

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“…On the contrary, the simulation by Wang et al 54 that focused on the CO 2 concentration in a personalized work environment (PWE) showed that the inhaled CO 2 concentration was higher than the volume‐averaged concentration over time, which could be caused by upward flow towards the ceiling. Angelova et al 38–40 also indicated that a region of high CO 2 concentration (1200 ppm and above) was formed in front of the occupant's head when there was downward flow from the ceiling, and they assumed that the inhaled CO 2 concentration differed from the CO 2 concentration measured at both the inlet and outlet of the chamber. Thus, the flow field in the breathing zone and the locations of the outdoor supply inlet and exhaust outlet strongly affect the inhaled CO 2 concentration.…”

Section: Resultsmentioning

confidence: 99%

“…showed that the inhaled CO 2 concentration was higher than the volume-averaged concentration over time, which could be caused by upward flow towards the ceiling. Angelova et al [38][39][40]…”

Section: Inhaled Co 2 Concentrationmentioning

confidence: 99%

“…Prediction of human CO 2 emissions during continuous breathing with inhalation and exhalation modes requires reliable modeling of human interaction with the ambient indoor environment. For this purpose, CSPs incorporating a computational fluid dynamics (CFD) approach were developed because they make it possible to simulate the non‐uniform airflow pattern and temperature distribution surrounding the human body indoors, together with CO 2 emissions from breathing 32–40 . Bulińska and Buliński 35 analyzed three different breathing models that simulate a micro‐environment around the human body, particularly the CO 2 concentration distribution emitted by a sleeping person.…”

Section: Introductionmentioning

confidence: 99%

“…For this purpose, CSPs incorporating a computational fluid dynamics (CFD) approach were developed because they make it possible to simulate the non-uniform airflow pattern and temperature distribution surrounding the human body indoors, together with CO 2 emissions from breathing. [32][33][34][35][36][37][38][39][40] Bulińska and Buliński 35 analyzed three different breathing models that simulate a micro-environment around the human body, particularly the CO 2 concentration distribution emitted by a sleeping person. They confirmed that complete breathing with inhalation and exhalation should be included in an accurate prediction of contaminant transport from humans.…”

Section: Introductionmentioning

confidence: 99%

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Prediction of exhaled carbon dioxide concentration using a computer‐simulated person that included alveolar gas exchange

et al. 2022

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Accurate prediction of inhaled CO 2 concentration and alveolar gas exchange efficiency would improve the prediction of CO 2 concentrations around the human body, which is essential for advanced ventilation design in buildings. We therefore, developed a computer-simulated person (CSP) that included a computational fluid dynamics approach. The CSP simulates metabolic heat production at the skin surface and carbon dioxide (CO 2 ) gas exchange at the alveoli during the transient breathing cycle. This makes it possible to predict the CO 2 distribution around the human body. The numerical model of the CO 2 gas exchange mechanism includes both the upper and lower airways and makes it possible to calculate the alveolar CO 2 partial pressure; this improves the prediction accuracy. We used the CSP to predict emission rates of metabolically generated CO 2 exhaled by a person and assumed that the tidal volume will be unconsciously reduced as a result of exposure to poor indoor air quality. A reduction in tidal volume resulted in a decrease in CO 2 emission rates of the same magnitude as was observed in our published experimental data. We also observed that the predicted inhaled CO 2 concentration depended on the flow pattern around the human body, as would be expected.

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Section: Resultsmentioning

confidence: 99%

Section: Inhaled Co 2 Concentrationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Prediction of exhaled carbon dioxide concentration using a computer‐simulated person that included alveolar gas exchange

et al. 2022

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Thermal Manikins – General Features and Applications

Симова

Markov

Stankov

2021

2021 6th International Symposium on Environment-Friendly Energies and Applications (EFEA)

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Supercomputer Modelling of Human Respiration Using Virtual Thermal Manikin Under Test Conditions

Podmarkova

Zasimova

Ivanov

et al. 2022

Lobachevskii J Math

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The paper presents the experience of supercomputer modeling of airflow near a breathing thermal manikin located in the test room. The computations were performed under conditions of two ventilation scenarios: the mixing ventilation case with the dominant forced convection and the case of a very weak supply airflow with the dominant free convection. Two breathing models were considered in the study. The first model was a simplified one with the constant exhaling flow. The second model simulated both exhalation and inhalation with the sine time-dependence of inlet velocity. The calculations were carried out using the steady RANS approach closed with the standard – turbulence model. The value of efficiency of parallelization is equal to unity in the range of the core number up to 280, except the runs with small core number. The computational data presented give a detailed information on the influence of exhalation/inhalation on the characteristics of the ventilation airflow and heat transfer near the human body.

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Analysis of metabolic CO2 concentration field in a small mechanically ventilated occupied enclosure

Cited by 4 publications

References 4 publications

Prediction of exhaled carbon dioxide concentration using a computer‐simulated person that included alveolar gas exchange

Prediction of exhaled carbon dioxide concentration using a computer‐simulated person that included alveolar gas exchange

Thermal Manikins – General Features and Applications

Supercomputer Modelling of Human Respiration Using Virtual Thermal Manikin Under Test Conditions

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