Linear, Non-Linear and Alternative Algorithms in the Correlation of IEQ Factors with Global Comfort: A Case Study

Indoor environmental quality (IEQ) factors usually considered in engineering studies, i.e., thermal, acoustical, visual comfort and indoor air quality are individually associated with the occupant satisfaction level on the basis of well-established relationships. On the other hand, the full understanding of how single IEQ factors contribute and interact to determine the overall occupant satisfaction (global comfort) is currently an open field of research. The lack of a shared approach in treating the subject depends on many aspects: absence of established protocols for the collection of subjective and objective measurements, the amount of variables to consider and in general the complexity of the technical issues involved. This case study is aimed to perform a comparison between some of the models available, studying the results of a survey conducted with objective and subjective method on a classroom within University of Roma TRE premises. Different models are fitted on the same measured values, allowing comparison between different weighting schemes between IEQ categories obtained with different methods. The critical issues, like differences in the weighting scheme obtained with different IEQ models and the variability of the weighting scheme with respect to the time of exposure of the users in the building, identified during this small scale comfort assessment study, provide the basis for a survey activity on a larger scale, basis for the development of an improved IEQ assessment method.

[1]  Concettina Marino,et al.  Proposal of comfort classification indexes suitable for both single environments and whole buildings , 2012 .

[2]  K. Mui,et al.  Neutral temperature in subtropical climates—A field survey in air-conditioned offices , 2007 .

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

[4]  Ricardo Mateus,et al.  Sustainability assessment and rating of buildings: Developing the methodology SBTool PTH , 2011 .

[5]  A. Hwang [Thermal comfort]. , 1990, Taehan kanho. The Korean nurse.

[6]  Francesco Asdrubali,et al.  Comparative study of energy regulations for buildings in Italy and Spain , 2008 .

[7]  P. Wargocki,et al.  Literature survey on how different factors influence human comfort in indoor environments , 2011 .

[8]  Stefano Schiavon,et al.  Occupant satisfaction in LEED and non-LEED certified buildings , 2013 .

[9]  Sabine A. Janssen,et al.  Assessment of wellbeing in an indoor office environment , 2011 .

[10]  Richard de Dear,et al.  Nonlinear relationships between individual IEQ factors and overall workspace satisfaction , 2012 .

[11]  Edward Arens,et al.  Indoor environmental quality assessment models: A literature review and a proposed weighting and classification scheme , 2013 .

[12]  Ferdinando Salata,et al.  The reliability of technological systems with high energy efficiency in residential buildings , 2014 .

[13]  L. T. Wong,et al.  A method of assessing the acceptability of noise levels in air-conditioned offices , 2006 .

[14]  P. Fanger Moderate Thermal Environments Determination of the PMV and PPD Indices and Specification of the Conditions for Thermal Comfort , 1984 .

[15]  武彦 福島 持続可能性(Sustainability)の要件 , 2006 .

[16]  L. T. Wong,et al.  Acceptable Illumination Levels for Office Occupants , 2006 .

[17]  Sait Cemil Sofuoğlu,et al.  Application of artificial neural networks to predict prevalence of building-related symptoms in office buildings , 2008 .

[18]  P. Fanger,et al.  The effects of outdoor air supply rate in an office on perceived air quality, sick building syndrome (SBS) symptoms and productivity. , 2000, Indoor air.

[19]  Philomena M. Bluyssen,et al.  Comfort of workers in office buildings: The European HOPE project , 2010 .

[20]  L. T. Wong,et al.  A multivariate-logistic model for acceptance of indoor environmental quality (IEQ) in offices , 2008 .