International Scientific Journal


This paper aims to show the current state of energy consumption and accompanying energy indicators in the public building sector in The Autonomous Province of Vojvodina, Serbia. The public building energy consumption data (healthcare, administration and schools) was collected by surveys supported by on-site measurements, calculations and interviews with people responsible for energy monitoring. Statistical processing of the collected data on the real extent and manner of energy usage in public buildings in Vojvodina was used. This paper presents energy indicators which are on average three times higher than allowed by Serbian Ordinance and what is currently present in neighboring European Countries. It is of the utmost importance to use this data and its implications as a catalyst for the implementation of energy management in the public building sector and an increase in energy efficiency. [Projekat Ministarstva nauke Republike Srbije: Energy systems in public buildings]
PAPER REVISED: 2015-11-09
PAPER ACCEPTED: 2015-10-15
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THERMAL SCIENCE YEAR 2016, VOLUME 20, ISSUE Supplement 2, PAGES [S331 - S342]
  1. Beusker, E., et. al., Estimation model and benchmarks for heating energy consumption of schools and sport facilities in Germany, Building and Environment, 49 (2012), pp. 324-335
  2. Bart, P., EPA-NR Energy Performance Assessment for Existing Non Residential Buildings, EBM - Consult, Supported by Intelligent Energy Europe (EIE) (project no: EIE/04/125/S07.38651) 2007, pp. 53
  3. Dias, R.A., et. al., Energy education: breaking up the rational energy use barriers, Energy Policy, 31 (2004), pp. 1339-1347
  4. Santamouris, M., et. al., Using intelligent clustering technologies to classify the energy performance of school buildings, Energy and Buildings, 39 (2007), pp. 45-51
  5. Newborough, M., Probert, D., Purposeful energy education in the UK, Applied Energy, 48 (1994), pp. 243-259
  6. Gaglia, A. G., et al., Empirical assessment of the Hellenic non-residential building stock, energy consumption, emissions and potential energy savings, Energy Conversion and Management, 48 (2007), pp. 1160-1175
  7. EPBD, Directive 2002/91/EC of the European Parliament and of the Council of 16 December 2002 on the energy performance of buildings, Official Journal of Europan Communities; 2003, p. L1/65-L1/71.
  8. Maldonado, E., Implementing the Energy Performance of Buildings Directive (EPBD) - featuring country reports 2012, European U. Brussels, 2013, pp. 372
  9. Dimoudi, A., Kostarela, P., Energy monitoring and conservation potential in school buildings in the C' climatic zone of Greece. Renewable Energy, 34 (2009), 1, pp. 289-96
  10. Alliance to Save Energy, events/ee-noon-back-school-energy-efficiency
  11. World Health Organization, Health in the Green Economy: Co-Benefits to Health of Climate Change Mitigation, Health Facilities, 2010.
  12. Energy Star, Health Care: An Overview of Energy Use and Energy Efficiency Opportunities,
  13. Szkolo, A. S., et. al., Energy consumption indicators and CHP technical potential in the Brazilian hospital sector, Energy Conversion and Management, 45 (2004), pp.2086
  14. Health in the Green Economy: Co-Benefits to Health of Climate Change Mitigation. Health Facilities, World Health Organization, 2010.
  15. Advanced Energy Efficient Building Technologies for High-performance Hospitals. Presentation by the University Of Washington College Of Built Environment's Department of Architecture Integrated Design Lab.
  16. Healthy Hospitals, Healthy Planet, Healthy People: Addressing climate change in health care settings. World Health Organization and Health Care Without Harm, Discussion Draft, 2008.
  17. The Association for the Conservation of Energy (ACE), Energy efficiency in offices: Assessing the situation,
  18. Birchall, S., et al., D2.1a: Survey on the energy needs and architectural features of the EU building stock, iNSPiRe Project (Development of Systemic Packages for Deep Energy Renovation of Residential and Tertiary Buildings including Envelope and Systems), 2014,
  19. Statistics Norway.
  20. Perez-Lombard, L., Ortiz, J., Pout, C., A review on buildings energy consumption information, Energy and Buildings, 40 (2008), pp. 394-398.
  21. Grigis, G., Benchmarking Green@Hospital, www.greenhospital‐
  22. Keohane, M. F., Energy Benchmarking for Commercial Buildings, Sustainable Energy Authority of Ireland.
  23. Dascalaki, E.G., Sermpetzoglou, V.G., Energy performance and indoor environmental quality in Hellenic schools, Energy and Buildings, 43 (2011), pp. 718-27
  24. De Paris, M., Rénovation énergétique des écoles parisiennes grâce auContrat de Partenariatet de Performance Energétique (CPPE); 2012. p. 8
  25. Nifes Consulting Group, Good practice guide 343 (GPG343), Saving energy - a whole school approach, Action Energy ‐ Carbon Trust, 2003.
  26. Maldonado, E., Implementing the Energy Performance of Buildings Directive (EPBD) - featuring country reports 2010, European U. Brussels; 2011, pp. 482.
  27. Butala, V., Novak, P., Energy consumption and potential energy savings in old school buildings. Energy and Buildings, 29 (1999), pp. 241-246
  28. Maldonado, E., Implementing the Energy Performance of Buildings Directive (EPBD) - featuring country reports 2012, European U. Brussels; 2013, pp. 372
  29. Vagi, F., Dimoudi, A., Analysing the energy performance of secondary schools in N. Greece, Proceedings, World Renewable Energy Congress, Linkoping, Sweden.2011
  30. Buildings Performance Institute Europe (BPIE), Europe's buildings under the microscope - A country-by-country review of the energy performance of buildings, 2011.
  31. Environment Science Center, Augsburg, Germany and Bristol-Myers Squibb Company, Greener Hospitals: Improving Environmental Performance, pp. 46.
  32. Lerum, V., High-Performance Building, John Wiley & Sons Inc., New York, USA, 2008
  33. Document of the World Bank, Status of Energy Efficiency in the Western Balkans - A Stocktaking Report, 2010.
  34. IEA, World Energy Outlook 2007. World Bank, Infrastructure in Europe and Central Asia: Approaches to Sustainable Services, 2006. McKinsey Global Institute, Curbing Energy Demand Growth: The Energy Productivity Opportunity, 2007.
  35. World Bank, Serbia Energy Efficiency Project, 2004 (first credit) and 2007 (additional financing).
  36. Perić, M., Medojević, M., Energy efficient building stock regulation in European Union and Serbia, Proceedings. 44th International Congress & Exhibition on Heating, Refrigeration and Air Conditioning (KGH), Belgrade, Serbia, 2013.
  37. Granderson, J., Price, P., Development and application of a statistical methodology to evaluate the predictive accuracy of building energy baseline models, Energy, 66 (2014), pp. 981-990.
  38. Tian, W., et. al., Spatial regression analysis of domestic energy in urban areas, Energy, 76 (2014), pp. 629-640.
  39. Verbai Z., et al., Prediction of energy demand for heating of residential buildings using variable degree day, Energy, 76 (2014), pp. 780-787.
  40. Skitmore, M., Wong, K.F., Using genetic algorithms and linear regression analysis for private housing demand forecast. Building and Environment, 43 (2008), pp. 1171-1184
  41. Yang, L., et. al., A new method to develop typical weather years in different climates for building energy use studies, Energy, 36 (2011), pp. 6121-6129.
  42. Pedersen, L., et al., Load prediction method for heat and electricity demand in buildings for the purpose of planning for mixed energy distribution systems, Energy and Buildings, 40 (2008), pp. 1124-1134.
  43. Mui, K.W., Wong, L.T., Cooling load calculations in subtropical climate Building and Environment, 42 (2007), pp. 2498-2504.
  44. Richardson, I., et. al., Domestic lighting: a high-resolution energy demand model, Energy and Buildings, 41 (2009), pp. 781-789.
  45. McLoughlin, F., Duffy, A., Conlon, M., Evaluation of time series techniques to characterise domestic electricity demand, Energy, 50 (2013), pp. 120-130.
  46. Wittchen, K., AggerholmSøren, B., A method for predicting the annual building heating demand based on limited performance data, Energy and Buildings, 28 (1998), pp. 101-108.
  47. Serbian Ordinance of Energy Efficiency in Buildings, Sl. glasnik RS, no. 61/2011, Belgrade, Serbia.

© 2022 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