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Indoor CO2 measurements in Serbian schools and ventilation rate calculation

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  • Turanjanin, Valentina
  • Vučićević, Biljana
  • Jovanović, Marina
  • Mirkov, Nikola
  • Lazović, Ivan

Abstract

The indoor air quality in schools is very important for health and learning abilities of children. The primary indoor CO2 source in classrooms is the respiration of school building occupants. Also, CO2 comes from outside as a result of fossil fuels combustion. CO2 concentration depends on a ventilation rate, size of the classroom, number of occupants and their activity and time they spend in school building. Unfortunately, ventilation rates in schools were not often measured, even in cases when inadequate ventilation caused pupils’ health problems and their absence from school. The increase in indoor CO2 concentration above the outdoor concentration is considered as a good surrogate for the indoor concentrations of bio effluents. This paper presents the research of ventilation rates in five naturally ventilated schools in urban and rural areas in Serbia during the heating season. CO2 concentrations were measured outdoor and in three classrooms for five working days, continually. Ventilation rates are calculated based on measured concentrations of CO2. The results have shown that classrooms in Serbian schools have inadequate ventilation during the heating period. Mean value of carbon dioxide concentration has often been exceeding 1000 ppm.

Suggested Citation

  • Turanjanin, Valentina & Vučićević, Biljana & Jovanović, Marina & Mirkov, Nikola & Lazović, Ivan, 2014. "Indoor CO2 measurements in Serbian schools and ventilation rate calculation," Energy, Elsevier, vol. 77(C), pages 290-296.
    • Handle: RePEc:eee:energy:v:77:y:2014:i:c:p:290-296
    DOI: 10.1016/j.energy.2014.10.028
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    References listed on IDEAS

    as
    1. Kusiak, Andrew & Tang, Fan & Xu, Guanglin, 2011. "Multi-objective optimization of HVAC system with an evolutionary computation algorithm," Energy, Elsevier, vol. 36(5), pages 2440-2449.
    2. Wang, Yang & Zhao, Fu-Yun & Kuckelkorn, Jens & Liu, Di & Liu, Li-Qun & Pan, Xiao-Chuan, 2014. "Cooling energy efficiency and classroom air environment of a school building operated by the heat recovery air conditioning unit," Energy, Elsevier, vol. 64(C), pages 991-1001.
    3. Kusiak, Andrew & Xu, Guanglin & Tang, Fan, 2011. "Optimization of an HVAC system with a strength multi-objective particle-swarm algorithm," Energy, Elsevier, vol. 36(10), pages 5935-5943.
    4. Achour, H. & Carton, J.G. & Olabi, A.G., 2011. "Estimating vehicle emissions from road transport, case study: Dublin City," Applied Energy, Elsevier, vol. 88(5), pages 1957-1964, May.
    5. Kusiak, Andrew & Li, Mingyang, 2009. "Optimal decision making in ventilation control," Energy, Elsevier, vol. 34(11), pages 1835-1845.
    6. Xamán, J. & Ortiz, A. & Álvarez, G. & Chávez, Y., 2011. "Effect of a contaminant source (CO2) on the air quality in a ventilated room," Energy, Elsevier, vol. 36(5), pages 3302-3318.
    7. Chavez-Baeza, Carlos & Sheinbaum-Pardo, Claudia, 2014. "Sustainable passenger road transport scenarios to reduce fuel consumption, air pollutants and GHG (greenhouse gas) emissions in the Mexico City Metropolitan Area," Energy, Elsevier, vol. 66(C), pages 624-634.
    Full references (including those not matched with items on IDEAS)

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    13. Pei-Chun Tu & Wen-Chen Cheng & Ping-Cheng Hou & Yu-Sen Chang, 2020. "Effects of Types of Horticultural Activity on the Physical and Mental State of Elderly Individuals," IJERPH, MDPI, vol. 17(14), pages 1-13, July.
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    16. Juliana P. Sá & Pedro T. B. S. Branco & Maria C. M. Alvim-Ferraz & Fernando G. Martins & Sofia I. V. Sousa, 2017. "Evaluation of Low-Cost Mitigation Measures Implemented to Improve Air Quality in Nursery and Primary Schools," IJERPH, MDPI, vol. 14(6), pages 1-21, May.
    17. Ljiljana Đukanović & Dušan Ignjatović & Nataša Ćuković Ignjatović & Aleksandar Rajčić & Nevena Lukić & Bojana Zeković, 2022. "Energy Refurbishment of Serbian School Building Stock—A Typology Tool Methodology Development," Sustainability, MDPI, vol. 14(7), pages 1-20, March.
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    19. Jae-Sol Choi & Jae-Hyuk Lee & Eui-Jong Kim, 2018. "Effects of ERV Filter Degradation on Indoor CO 2 Levels of a Classroom," Sustainability, MDPI, vol. 10(4), pages 1-15, April.

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