International Scientific Journal


Greenhouse gases emission as well as total energy consumption in buildings of public importance, such as schools, municipal buildings, health care centers, can be significantly reduced by increasing buildings’ energy efficiency. Buildings’ energy consumption adds up to 37% of total energy consumption in the EU countries. In the Republic of Serbia this amount is significantly higher, about 50%. School buildings are considered as one of the most diverse structures from the point of energy-efficient design and construction. The main aim of this paper is to determine the most appropriate settings for possible improvements in energy efficiency and temperature comfort inside a typical primary school classroom in Serbia. The energy efficiency analysis was performed during the heating season for the naturally ventilated primary school classroom located in the eastern Serbia region. The analysis was performed using novel CFD model, suggested in this paper. The suggested model was used to solve two hypothetical scenarios. The first scenario simulates the temperature field in classroom with current energy characteristic envelope of the school building. The calculated numerical data from the first scenario were compared with in-situ measurements values of temperature and wall heat fluxes and showed satisfying accuracy. The second scenario was simulated to indicate possible improvements, which would allow energy consumption decrease and thermal quality enhancement. The analyzed results, calculated using the suggested numerical model under the second scenario conditions, showed that using appropriate set of measures, it is possible to obtain desired temperature comfort levels without need for increase in the building energy consumption.
PAPER REVISED: 2022-04-02
PAPER ACCEPTED: 2022-04-11
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THERMAL SCIENCE YEAR 2022, VOLUME 26, ISSUE Issue 4, PAGES [3605 - 3618]
  1. Sadineni, S., el al., Passive building energy savings: A review of building envelope components, Renewable and Sustainable Energy Reviews, 15 (2011) pp. 3617-3631
  2. Li, Lingyan, et al, Impact of natural and social environmental factors on building energy consumption: Based on bibliometrics, Journal of Building Engineering, 37 (2021): 102136.
  3. Harish, V. S. K. V., and Arun Kumar, A review on modeling and simulation of building energy systems, Renewable and sustainable energy reviews, 56 (2016): 1272-1292.
  4. Mannan, M., and Al-Ghamdi, S. G., Indoor air quality in buildings: a comprehensive review on the factors influencing air pollution in residential and commercial structure, International Journal of Environmental Research and Public Health 18.6 (2021) 3276.
  5. Wang, Jihong, et al., Gaseous pollutant transmission through windows between vertical floors in a multistory building with natural ventilation, Energy and Buildings, 153 (2017) pp. 325-340.
  6. Lazović, Ivan, et al., Impact of CO2 concentration on indoor air quality and correlation with relative humidity and indoor air temperature in school buildings in Serbia. Thermal Science 20 (2016): S297-S307.
  7. Merabtine, Abdelatif, et al., Building energy audit, thermal comfort, and IAQ assessment of a school building: A case study, Building and Environment, 145 (2018) pp. 62-76.
  8. Bakó-Biró, Z., el al., Ventilation rates in schools and pupils' performance, Building and environment, 48 (2012) pp. 215-223
  9. Trompetter, W. J., et al., The effect of ventilation on air particulate matter in school classrooms, Journal of Building Engineering18 (2018) pp. 164-171.
  10. Szabados, Máté, et al., Indoor air quality and the associated health risk in primary school buildings in Central Europe-The InAirQ study, Indoor air, 31.4 (2021): pp. 989-1003.
  11. Ole Fanger, P., What is IAQ?, Indoor Air, 16 (2006) pp. 328-334
  12. Pulimeno, Manuela, et al., Indoor air quality at school and students' performance: Recommendations of the UNESCO Chair on Health Education and Sustainable Development & the Italian Society of Environmental Medicine (SIMA), Health Promotion Perspectives 10.3 (2020) 169.
  13. Becerra, Jose A., et al. "Identification of potential indoor air pollutants in schools." Journal of Cleaner Production 242 (2020): 118420.
  14. Korsavi, Sepideh Sadat, Azadeh Montazami, and Dejan Mumovic, Indoor air quality (IAQ) in naturally-ventilated primary schools in the UK: Occupant-related factors, Building and Environment 180 (2020) 106992.
  15. Csobod, E., et al., "Schools Indoor Pollution and Health: Observatory Network in Europe (SINPHONIE)-Final Report." The Regional Environmental Centre for Central and Eastern Europe. Italy 2014
  16. SRPS EN ISO 13790 Energy performance of buildings - Calculation of energy use for space heating and cooling
  17. Regulations on Energy Efficiency of Buildings, Official Gazette of the RS: 061/2011 (in Serbian)
  18. Zhang, Xuelin, Asiri Umenga Weerasuriya, and Kam Tim Tse., CFD simulation of natural ventilation of a generic building in various incident wind directions: Comparison of turbulence modelling, evaluation methods, and ventilation mechanisms, Energy and Buildings, 229 (2020) 110516.
  19. Liu, Jiying, et al., A review of CFD analysis methods for personalized ventilation (PV) in indoor built environments, Sustainability 11.15 (2019) 4166.
  20. Banjac, M. and Nikolić, B., Computational Study of Smoke Flow Control in garage Fires andoptimization of the ventilation system, Thermal Science, 13 (2009) pp. 69-78
  21. Baalisampang, Til, et al., Optimisation of smoke extraction system in fire scenarios using CFD modelling, Process Safety and Environmental Protection 149 (2021) pp. 508-517.
  22. DiBerardinis, L, Health and Safety Considerations in the Design of Teaching and Research Laboratories. In: Challenges for Health and Safety in Higher Education and Research Organisations. Royal Society of Chemistry, (2020) pp. 288-303.
  23. Gant, Simon E., and Harvey Tucker, Computational Fluid Dynamics (CFD) modelling of atmospheric dispersion for land-use planning around major hazards sites in Great Britain, Journal of Loss Prevention in the Process Industries, 54 (2018) pp. 340-345.
  24. Hathway, E.A., el al., CFD simulation of airborne pathogen transport due to human activities, Building and Environment, 46 (2011) pp. 2500-2511
  25. Buratti, Cinzia, Domenico Palladino, and Elisa Moretti, Prediction of indoor conditions and thermal comfort using CFD simulations: A case study based on experimental data, Energy Procedia 126 (2017) pp. 115-122.
  26. Stevanović, Žana, et al, CFD simulations of thermal comfort in naturally ventilated primary school classrooms, Thermal Science, 20 (2016): S287-S296.
  27. Cao, Shi-Jie, Challenges of using CFD simulation for the design and online control of ventilation systems, Indoor and Built Environment, 28.1 (2019) pp. 3-6.
  28. Siriwardana, J., el al., Minimizing the thermal impact of computing equipment upgrades in data centers, Energy and Buildings, 50 (2012) pp. 81-92
  29. Wang, Y., el al., Classroom energy efficiency and air environment with displacement natural ventilation in a passive public school building, Energy and Buildings, 70 (2014) pp. 258-270
  30. Wang, Y., el al., School building energy performance and classroom air environment implemented with the heat recovery heat pump and displacement ventilation system, Applied Energy, 114 (2014) pp. 58-68
  31. Campano, M.A., el al., Analysis of thermal emissions from radiators in classrooms in Mediterranean climates, Procedia Engineering, 21 (2011) pp.106-113
  32. Karimipanah, T., el al., Investigation of air quality, comfort parameters and effectiveness for two floor level air supply systems in classrooms, Building and Environment, 42 (2007) pp. 647-655
  33. ISO 9869, Thermal insulation, building elements, in-situ measurement of thermal resistance and thermal transmittance
  34. Shih, T.H., el al., A New k- ε Eddy-Viscosity Model for High Reynolds Number Turbulent Flows - Model Development and Validation, Computers Fluids, 24 (1995) pp. 227-238
  35. Selcuk, N. and Kayakol, N., Evaluation of discrete ordinates method for radiative transfer in rectangular furnaces, International journal of heat and mass transfer, 40 (1997) 2, 213-222
  36. Smith, T.F., el al., Evaluation of Coefficients for the Weighted Sum of Gray Gases Model. J. Heat Transfer, 104 (1982) 4, pp. 602-608
  37. Yamada, Y., Combined radiation heat transfer and free convection heat transfer in a vertical channel with arbitrary wall emissivities, Int. J. Heat. Mass Transfer, 31 (1988), pp. 429-440.
  38. W. Navidi, Statistics for Engineers and Scientists, Third edit, McGraw-Hill Education, 2011

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence