An Assessment of the Overall Comfort Sensation in Workplaces

Abstract The scope of the research described in this paper is to develop, evaluate and propose a newempirical index, the so-called Index of Workplace Comfort (IWC), which quantifies the overallcomfort sensation of a user in an office building. The proposed Index of Workplace Comfort is calculated on the basis of both environmental and psychological properly weighted sensation votes of workplace occupants. The weight of 13 variables in the equation of IWC is determined through ordered probit regression in a dataset, using a background questionnaire completed by 238individuals working in 11 office buildings. The evaluation of the proposed index consisted of the implementation of the IWC model in a building (52 cases) and the comparison with data collected from thermal comfort measurements based on ISO 7730 (159 cases) and thermal sensation votes of the occupants (321 cases). The findings show, with statistical significance, that the IWC describes the overall comfort conditions better than the PMV-PPD model used in ISO 7730 andsupports the position that psychological variables affect the overall comfort sensation of individuals in a workplace.

[1]  Sebastian Herkel,et al.  Comparison of low-energy office buildings in summer using different thermal comfort criteria , 2007 .

[2]  José A. Orosa,et al.  A new thermal comfort approach comparing adaptive and PMV models , 2011 .

[3]  Andreas Wagner,et al.  Thermal comfort and workplace occupant satisfaction—Results of field studies in German low energy office buildings , 2007 .

[4]  Manuel Correia Guedes,et al.  Thermal comfort criteria and building design: Field work in Portugal , 2009 .

[5]  Gail Brager,et al.  Developing an adaptive model of thermal comfort and preference , 1998 .

[6]  Mark Standeven,et al.  A BEHAVIOURAL APPROACH TO THERMAL COMFORT ASSESSMENT , 1997 .

[7]  Lieve Helsen,et al.  Evaluation of adaptive thermal comfort models in moderate climates and their impact on energy use in , 2011 .

[8]  P. O. Fanger,et al.  Thermal comfort conditions during day and night , 2004, European Journal of Applied Physiology and Occupational Physiology.

[9]  Agis M. Papadopoulos,et al.  Energy Requirements for the Treatment of Fresh Air in HVAC Systems: A Case Study for Athens and Thessaloniki, Greece. , 2004 .

[10]  J. Guzmán.  Regression Models for Categorical Dependent Variables Using Stata , 2013 .

[11]  K. Cena,et al.  Field study of occupant comfort and office thermal environments in a hot, arid climate , 1999 .

[12]  Bassam Moujalled,et al.  Comparison of thermal comfort algorithms in naturally ventilated office buildings , 2008 .

[13]  J. F. Nicol,et al.  Developing an adaptive control algorithm for Europe , 2002 .

[14]  Michael A. Humphreys,et al.  Quantifying occupant comfort: are combined indices of the indoor environment practicable? , 2005 .