Optimising Ventilation in Kindergartens Through a Dual‐Indicator Framework Based on Carbon Dioxide and Radon for IAQ Assessment

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Bibliographic Details
Published in:Indoor Air vol. 2025, no. 1 (2025)
Main Author: Dovjak, Mateja
Other Authors: Vaupotič, Janja
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John Wiley & Sons, Inc.
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022 |a 0905-6947 
022 |a 1600-0668 
024 7 |a 10.1155/ina/7596341  |2 doi 
035 |a 3284363270 
045 2 |b d20250101  |b d20251231 
084 |a 110718  |2 nlm 
100 1 |a Dovjak, Mateja  |u Chair of Buildings and Constructional Complexes, , Faculty of Civil and Geodetic Engineering, , University of Ljubljana, , Ljubljana, , Slovenia, <url href="http://uni-lj.si">uni-lj.si</url> 
245 1 |a Optimising Ventilation in Kindergartens Through a Dual‐Indicator Framework Based on Carbon Dioxide and Radon for IAQ Assessment 
260 |b John Wiley & Sons, Inc.  |c 2025 
513 |a Journal Article 
520 3 |a Maintaining acceptable indoor air quality (IAQ) in kindergartens is essential for children′s health, cognitive development and staff well‐being, yet it remains a persistent challenge. This study introduces an innovative dual‐indicator framework for IAQ assessment that combines real‐time monitoring of carbon dioxide (CO2) and radon (Rn) with simulation‐based modelling to evaluate and optimise ventilation strategies. Unlike CO2 alone, which only indicates conditions during occupancy, Rn monitoring captures conditions before and at the start of occupancy, providing a more comprehensive assessment. Measurements were conducted for several months in two playrooms: P1, a modular steel unit with natural ventilation, and P2, a concrete structure with hybrid ventilation. During occupancy, CO2 levels frequently exceeded health‐based thresholds (405−2725 ppm, mean 1266 ± 537 ppm in P1; 405−1910 ppm, mean 865 ± 304 ppm in P2). Rn concentrations were highest before occupancy and declined gradually in the morning (2–386 Bq m−3, mean 99 ± 62 Bq m−3 in P1; 2–304 Bq m−3, mean 59 ± 49 Bq m−3 in P2), reflecting differences in airtightness and ventilation efficiency. Simulations categorised IAQ into four levels, with Category I representing optimal conditions. P2 achieved Category I or II for 59% of the time, compared to 28% in P1. Two advanced ventilation strategies were then simulated: constant air volume (CAV) and demand‐controlled ventilation (DCV). Both reduced CO2 and Rn below recommended thresholds, while DCV provided greater adaptability and achieved 17% lower ventilation heat losses than CAV. These results demonstrate the value of integrating dual‐indicator monitoring with simulation tools to support data‐driven, energy‐efficient and health‐focused ventilation strategies in early childhood environments. 
651 4 |a Europe 
651 4 |a Slovenia 
653 |a Indoor air quality 
653 |a Volatile organic compounds--VOCs 
653 |a Pollutants 
653 |a Green buildings 
653 |a Ventilation 
653 |a Radon 
653 |a Concrete structures 
653 |a Air quality 
653 |a Carbon dioxide 
653 |a Respiration 
653 |a Efficiency 
653 |a Thresholds 
653 |a Simulation 
653 |a Indoor environments 
653 |a Classrooms 
653 |a Kindergarten 
653 |a Schools 
653 |a Children 
653 |a Public buildings 
653 |a Optimization 
653 |a Design 
653 |a Intellectual development 
653 |a Airtightness 
653 |a Modular units 
653 |a Modular structures 
653 |a Economic 
700 1 |a Vaupotič, Janja  |u Department of Environmental Sciences, , Jožef Stefan Institute, , Ljubljana, , Slovenia, <url href="http://ijs.si">ijs.si</url> 
773 0 |t Indoor Air  |g vol. 2025, no. 1 (2025) 
786 0 |d ProQuest  |t Public Health Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3284363270/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text  |u https://www.proquest.com/docview/3284363270/fulltext/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3284363270/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch