Analysis of Ventilation Systems and Control Methods for Optimal Indoor Air Quality in School Buildings

최영재,; 박보랑,; 송용우,; 최은지,; 문진우,

doi:10.12813/kieae.2020.20.2.131

Cited by 2 publications

(1 citation statement)

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“…Choi and four others developed an optimal control algorithm for ventilation systems to improve the indoor air quality of school facilities and confirmed their applicability [15].…”

Section: Introductionmentioning

confidence: 87%

Analysis of Flow Characteristics of Window-Combination-Type Ventilation System Using CFD

Cho,

Choi,

Kim

et al. 2023

Fluids

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In this study, we analyze the performance of ventilation modules to improve air quality in educational facilities. Using (CFD), we examine the flow design variables of a window-mounted ventilation module. Using computational analysis, we analyze various flow design characteristics of window-mounted ventilation modules and review optimal conditions. First, we measure the carbon dioxide concentration in the classroom and use CFD to analyze the internal air characteristics according to the ventilation module’s inflow speed, inflow angle, and indoor temperature conditions. According to classroom air quality management standards, the concentration of carbon dioxide must be managed below 1000 ppm. When the ventilation module’s inflow velocity was 2.0 m/s, a carbon dioxide concentration of less than 1000 ppm was measured in the classroom. Additionally, an air filter was selected to prevent the inflow of external fine dust through the ventilation module. The suitability of HEPA H14 was reviewed to design the weight concentration of fine dust flowing from the ventilation module to be less than 50 μg/m3. Through research, flow design conditions for a window-mounted ventilation module were presented to reduce carbon dioxide concentration inside the classroom. The analysis of the ventilation system flow characteristics proposed in this study derived primary data for improving the classroom ventilation system.

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“…Choi and four others developed an optimal control algorithm for ventilation systems to improve the indoor air quality of school facilities and confirmed their applicability [15].…”

Section: Introductionmentioning

confidence: 87%