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This study aims at evaluating the perceived thermal sensation of occupants with respect to thermal comfort standards, ASHRAE 55 and ISO 7730, for office buildings located in Mediterranean climate. A small office building in Izmir Institute of Technology Campus Area, Izmir, Turkey, was chosen as a case building and equipped with measurement devices to assess thermal comfort of occupants with respect to predicted mean vote and actual mean vote. Both objective and subjective measurements were conducted. The former included indoor and out-door air temperature, mean radiant temperature, relative humidity and air velocity that were used for evaluating the thermal comfort of occupants. Oxygen concentration which can play an additional role in thermal comfort/discomfort, health and productivity of the office occupants, was also measured. Furthermore, occupants were subjected to a survey via a mobile application to obtain subjective measurements to calculate actual mean vote values. Based on objective and subjective measurements, the relationships among the parameters were derived by using simple regression analysis technique while a new combined mean vote correlation was also derived but this time by using multiple linear regression model. Neutral and comfort temperatures were obtained using indoor air temperature and actual mean vote values which were calculated from subjective measurements. The results showed that neutral temperature in the university office building was 20.9°C whilst the comfort temperature range was between 19.4 and 22.4°C for the heating season. By applying new comfort temperatures, energy consumption of the case building located in Mediterranean climate, can be reduced.
PAPER REVISED: 2018-03-08
PAPER ACCEPTED: 2018-03-12
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THERMAL SCIENCE YEAR 2018, VOLUME 22, ISSUE Issue 5, PAGES [2177 - 2187]
  1. ***, ANSI/ASHRAE Standard 55, Thermal Environmental Conditions for Human Occupancy, ASHRAE, Atlanta, Georgia, USA, 2004
  2. Fanger, P., Thermal Comfort, Copenhagen: Danish Technical Press, Copenhagen, Denmark, 1970
  3. ***, ISO Standard 7730, Moderate Thermal Environments-determination of the PMV and PPD Indices and Specification of the Conditions for Thermal Comfort, International Standards Organization, Geneva, Switzerland, 1994
  4. Shukuya, M., et al., Human-body Exergy Balance and Thermal Comfort, Working Report of IEA/ECBCS/Annex 49, 2009
  5. Isawa, K., et al., Human-body Exergy Consumption Varying with the Combination of Room Air and Mean Radiant Temperatures, Journal of Environmental Engineering, 70 (2003), 570, pp. 29-35
  6. Prek, M., Thermodynamic Analysis of Human Heat and Mass Transfer and Their Impact on Thermal Comfort, International Journal of Heat and Mass Transfer, 48 (2005), 3-4, pp. 731-739
  7. De Dear, R. J, et al., ASHRAE RP-884 Final Report: Developing an Adaptive Model of Thermal Comfort and Preference, American Society of Heating, Refrigerating and Air Conditioning Engineers, ASHRAE, Atlanta, Georgia, USA, 1997
  8. Heideri, S., Sharples, S., A Comparative Analysis of Short-term and Long-term Thermal Comfort Surveys in Iran, Energy and Buildings, 34 (2002), 6, pp. 607-614
  9. Corgnati, S. P., et al., Perception of the Thermal Environment in High School and University Classrooms: Subjective Preferences and Thermal Comfort, Building and Environment, 42 (2007), 2, pp. 951-959
  10. Bedford, R. E., et al., Recommended Values of Temperature on the International Temperature Scale of 1990 for a Selected Set of Secondary Reference Points, Metrologia, 33 (1996), 2, pp. 133-154
  11. Griffiths, I. D, McIntyre, A. D., Sensitivity to Temporal Variations in Thermal Conditions, Ergonomics, 17 (1974), 4, pp. 499-507
  12. Brager, G., et al., A Comparison of Methods for Assessing Thermal Sensation and Acceptability in the Field, Proceedings, Thermal Comfort: Past, Present and Future, Garston, Liverpool, UK, 1993, pp. 17-39
  13. Humpreys, M. A., Thermal Comfort Temperatures World-wide-the Current Position, Renewable Energy, 8 (1996), 1-4, pp. 139-144
  14. Yao, R., et al., A Theoretical Adaptive Model of Thermal Comfort-Adaptive Predicted Mean Vote (aPMV), Building and Environment, 44 (2009), 10, pp. 2089-2096
  15. Grathier, S., et al., Investigating the Effect of CO2 Concentration on Reported Thermal Comfort, Proceedings, CISBAT 2015, Lausanne, Switzerland, 2015, pp. 315-320
  16. Nicol, J. F., Humphreys, M. A., Adaptive Thermal Comfort and Sustainable Thermal Standards for Buildings, Energy and Buildings, 6 (2002), 2, pp. 563-572
  17. Sing, M. K., et al., Relation Between Indoor Thermal Environment and Renovation in Liege Residential Buildings, Thermal Science, 18 (2014), 3, pp. 889-902
  18. Van der Linden, A. C., et al., Adaptive Temperatures Limits: A New Guideline in the Netherlands: A New Approach for the Assessment of the Building Performance with Respect to Thermal Indoor Climate, Energy and Buildings, 38 (2006), 1, pp. 8-17
  19. Kosun, C., et al., Soft Computing and Regression Modelling Approaches for Link-capacity Functions, Neural Network World, 9 (2016), Mar., pp. 129-140
  20. McCartney, K. J, Nicol, F. J., Developing an Adaptive Control Algorithm for Europe, Energy and Buildings, 34 (2002), 6, pp. 623-635
  21. ***, World Map of Köppen-Geiger Climate Classification, 2006
  22. ***, Turkish State Meteorological Service, aspx?m=IZMIR
  23. ***, EN ISO 13790 (former 832), Thermal Performance of Buildings — Calculation of Energy Use for Heating, 2006
  24. ***, HOBO Temperature/Relative Humidity/Light/External Data Logger, Onset, 2010
  25. ***, INNOVA 1221 Instruction Manual, LumaSense Technologies, 2007
  26. ***, Grove-Gas Sensor, Seed Studio, 2016
  27. ***, Occupational Safety and Health Administration, United States Departments of Labor, 2010
  28. ***, ISO 10551, Ergonomics of the Thermal Environment e Assessment of the Influence of the Thermal Environment Using Subjective Judgement Scales, Geneva: International Standardization Organization, 1995
  29. ***, CBE Thermal Comfort Tool, Center for the Built Environment, Berkeley, California, USA, 2017
  30. Iwamatsu, T., Asada, H., A Calculation Tool for Human Body Exergy Balance, The International Energy Agency, Energy Conservation in Buildings and Community System Annex 49, No. 6, pp. 4-5, 2009
  31. ***, MATLAB 6.1, The MathWorks Inc., Natick, Massachusetts, USA, 2000
  32. Turhan, C., et al., Comparative Study of a Building Energy Performance Software (KEP-IYTEE-ESS) and ANN-based Heat Load Estimation, Energy and Buildings, 85 (2014), Dec., pp. 115-125
  33. Duran, H. E., Short-Run Dynamics of Income Disparities and Regional Cycle Synchronization in the U.S., Growth and Change: A Journal of Urban and Regional Policy, 45 (2014), 2, pp. 292-312
  34. Griffiths, I., Thermal Comfort Studies in Buildings with Passive Solar Features: Field Studies Report to Commission of the European Community, ENS 35909, UK, 1990

© 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