IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v77y2014icp290-296.html
   My bibliography  Save this article

Indoor CO2 measurements in Serbian schools and ventilation rate calculation

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544214011773
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2014.10.028?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Kusiak, Andrew & Li, Mingyang, 2009. "Optimal decision making in ventilation control," Energy, Elsevier, vol. 34(11), pages 1835-1845.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fusheng Ma & Changhong Zhan & Xiaoyang Xu, 2019. "Investigation and Evaluation of Winter Indoor Air Quality of Primary Schools in Severe Cold Weather Areas of China," Energies, MDPI, vol. 12(9), pages 1-19, April.
    2. Jing, Gang & Cai, Wenjian & Zhang, Xin & Cui, Can & Yin, Xiaohong & Xian, Huacai, 2019. "An energy-saving oriented air balancing strategy for multi-zone demand-controlled ventilation system," Energy, Elsevier, vol. 172(C), pages 1053-1065.
    3. Stuart Batterman, 2017. "Review and Extension of CO 2 -Based Methods to Determine Ventilation Rates with Application to School Classrooms," IJERPH, MDPI, vol. 14(2), pages 1-22, February.
    4. Gil-Baez, Maite & Barrios-Padura, Ángela & Molina-Huelva, Marta & Chacartegui, R., 2017. "Natural ventilation systems in 21st-century for near zero energy school buildings," Energy, Elsevier, vol. 137(C), pages 1186-1200.
    5. Alberto Meiss & Héctor Jimeno-Merino & Irene Poza-Casado & Alfredo Llorente-Álvarez & Miguel Ángel Padilla-Marcos, 2021. "Indoor Air Quality in Naturally Ventilated Classrooms. Lessons Learned from a Case Study in a COVID-19 Scenario," Sustainability, MDPI, vol. 13(15), pages 1-12, July.
    6. 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.
    7. Cui, Can & Xue, Jing, 2024. "Energy and comfort aware operation of multi-zone HVAC system through preference-inspired deep reinforcement learning," Energy, Elsevier, vol. 292(C).
    8. Tureková, Ivana & Marková, Iveta & Sventeková, Eva & Harangózo, Jozef, 2022. "Evaluation of microclimatic conditions during the teaching process in selected school premises. Slovak case study," Energy, Elsevier, vol. 239(PD).
    9. Lizana, Jesus & Serrano-Jimenez, Antonio & Ortiz, Carlos & Becerra, Jose A. & Chacartegui, Ricardo, 2018. "Energy assessment method towards low-carbon energy schools," Energy, Elsevier, vol. 159(C), pages 310-326.
    10. Schibuola, Luigi & Scarpa, Massimiliano & Tambani, Chiara, 2018. "CO2 based ventilation control in energy retrofit: An experimental assessment," Energy, Elsevier, vol. 143(C), pages 606-614.
    11. Shen Yang & Sebastian Duque Mahecha & Sergi Aguacil Moreno & Dusan Licina, 2022. "Integration of Indoor Air Quality Prediction into Healthy Building Design," Sustainability, MDPI, vol. 14(13), pages 1-18, June.
    12. Li, Bingxu & Wu, Bingjie & Peng, Yelun & Cai, Wenjian, 2022. "Tube-based robust model predictive control of multi-zone demand-controlled ventilation systems for energy saving and indoor air quality," Applied Energy, Elsevier, vol. 307(C).
    13. Guillermo Efren Ovando-Chacon & Abelardo Rodríguez-León & Sandy Luz Ovando-Chacon & Martín Hernández-Ordoñez & Mario Díaz-González & Felipe de Jesús Pozos-Texon, 2022. "Computational Study of Thermal Comfort and Reduction of CO 2 Levels inside a Classroom," IJERPH, MDPI, vol. 19(5), pages 1-22, March.
    14. 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.
    15. 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.
    16. Ling-Yi Chang & Tong-Bou Chang, 2023. "Air Conditioning Operation Strategies for Comfort and Indoor Air Quality in Taiwan’s Elementary Schools," Energies, MDPI, vol. 16(5), pages 1-19, March.
    17. 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.
    18. Guillermo Efren Ovando-Chacon & Sandy Luz Ovando-Chacon & Abelardo Rodríguez-León & Mario Díaz-González, 2023. "Numerical Study of Indoor Air Quality in a University Professor’s Office," Sustainability, MDPI, vol. 15(5), pages 1-19, February.
    19. Heracleous, Chryso & Michael, Aimilios, 2018. "Assessment of overheating risk and the impact of natural ventilation in educational buildings of Southern Europe under current and future climatic conditions," Energy, Elsevier, vol. 165(PB), pages 1228-1239.
    20. Hyeonji Seol & Daniel Arztmann & Naree Kim & Alvaro Balderrama, 2023. "Estimation of Natural Ventilation Rates in an Office Room with 145 mm-Diameter Circular Openings Using the Occupant-Generated Tracer-Gas Method," Sustainability, MDPI, vol. 15(13), pages 1-25, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jing, Gang & Cai, Wenjian & Zhang, Xin & Cui, Can & Liu, Hongwu & Wang, Cheng, 2020. "An energy-saving control strategy for multi-zone demand controlled ventilation system with data-driven model and air balancing control," Energy, Elsevier, vol. 199(C).
    2. Mahbub, Md Shahriar & Cozzini, Marco & Østergaard, Poul Alberg & Alberti, Fabrizio, 2016. "Combining multi-objective evolutionary algorithms and descriptive analytical modelling in energy scenario design," Applied Energy, Elsevier, vol. 164(C), pages 140-151.
    3. Wang, Xinli & Cai, Wenjian & Yin, Xiaohong, 2017. "A global optimized operation strategy for energy savings in liquid desiccant air conditioning using self-adaptive differential evolutionary algorithm," Applied Energy, Elsevier, vol. 187(C), pages 410-423.
    4. Kusiak, Andrew & Xu, Guanglin, 2012. "Modeling and optimization of HVAC systems using a dynamic neural network," Energy, Elsevier, vol. 42(1), pages 241-250.
    5. Sha, Huajing & Xu, Peng & Yang, Zhiwei & Chen, Yongbao & Tang, Jixu, 2019. "Overview of computational intelligence for building energy system design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 108(C), pages 76-90.
    6. Deng, Zhipeng & Wang, Xuezheng & Dong, Bing, 2023. "Quantum computing for future real-time building HVAC controls," Applied Energy, Elsevier, vol. 334(C).
    7. Paiho, Satu & Kiljander, Jussi & Sarala, Roope & Siikavirta, Hanne & Kilkki, Olli & Bajpai, Arpit & Duchon, Markus & Pahl, Marc-Oliver & Wüstrich, Lars & Lübben, Christian & Kirdan, Erkin & Schindler,, 2021. "Towards cross-commodity energy-sharing communities – A review of the market, regulatory, and technical situation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    8. Alessia Arteconi & Fabio Polonara, 2018. "Assessing the Demand Side Management Potential and the Energy Flexibility of Heat Pumps in Buildings," Energies, MDPI, vol. 11(7), pages 1-19, July.
    9. Kostevšek, Anja & Klemeš, Jiří Jaromír & Varbanov, Petar Sabev & Papa, Gregor & Petek, Janez, 2016. "The concept of an ecosystem model to support the transformation to sustainable energy systems," Applied Energy, Elsevier, vol. 184(C), pages 1460-1469.
    10. Leehter Yao & Jin-Hao Huang, 2019. "Multi-Objective Optimization of Energy Saving Control for Air Conditioning System in Data Center," Energies, MDPI, vol. 12(8), pages 1-16, April.
    11. Zhang, Zijun & Zeng, Yaohui & Kusiak, Andrew, 2012. "Minimizing pump energy in a wastewater processing plant," Energy, Elsevier, vol. 47(1), pages 505-514.
    12. Lü, Xiaoshu & Lu, Tao & Kibert, Charles J. & Viljanen, Martti, 2014. "A novel dynamic modeling approach for predicting building energy performance," Applied Energy, Elsevier, vol. 114(C), pages 91-103.
    13. Ling-Yi Chang & Tong-Bou Chang, 2023. "Air Conditioning Operation Strategies for Comfort and Indoor Air Quality in Taiwan’s Elementary Schools," Energies, MDPI, vol. 16(5), pages 1-19, March.
    14. Afroz, Zakia & Shafiullah, GM & Urmee, Tania & Higgins, Gary, 2018. "Modeling techniques used in building HVAC control systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 83(C), pages 64-84.
    15. Wang, Xinli & Cai, Wenjian & Lu, Jiangang & Sun, Youxian & Zhao, Lei, 2015. "Model-based optimization strategy of chiller driven liquid desiccant dehumidifier with genetic algorithm," Energy, Elsevier, vol. 82(C), pages 939-948.
    16. Zhao, Lei & Cai, Wenjian & Ding, Xudong & Chang, Weichung, 2013. "Model-based optimization for vapor compression refrigeration cycle," Energy, Elsevier, vol. 55(C), pages 392-402.
    17. Kim, Wonuk & Jeon, Yongseok & Kim, Yongchan, 2016. "Simulation-based optimization of an integrated daylighting and HVAC system using the design of experiments method," Applied Energy, Elsevier, vol. 162(C), pages 666-674.
    18. Yu-Fang Wang, 2020. "Adaptive job shop scheduling strategy based on weighted Q-learning algorithm," Journal of Intelligent Manufacturing, Springer, vol. 31(2), pages 417-432, February.
    19. Nikos Kampelis & Elisavet Tsekeri & Dionysia Kolokotsa & Kostas Kalaitzakis & Daniela Isidori & Cristina Cristalli, 2018. "Development of Demand Response Energy Management Optimization at Building and District Levels Using Genetic Algorithm and Artificial Neural Network Modelling Power Predictions," Energies, MDPI, vol. 11(11), pages 1-22, November.
    20. Le Cam, M. & Zmeureanu, R. & Daoud, A., 2017. "Cascade-based short-term forecasting method of the electric demand of HVAC system," Energy, Elsevier, vol. 119(C), pages 1098-1107.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:77:y:2014:i:c:p:290-296. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.