Comfort assessment in the context of sustainable buildings: Comparison of simplified and detailed human thermal sensation methods

Abstract This paper, based on research conducted under the EU FP7 “SuPerBuildings” project, presents current practice and approaches to comfort assessment and specification. The paper compares and discusses the results of different methods used for the calculation of thermal comfort: Fanger's PMV method, the adaptive predicted mean vote (aPMV) method, a Human Thermal Model integrated in a building simulation environment and the adaptive control algorithm ACA as an example of the adaptive comfort methods are described and applied to a test case. Results show how HTM, aPMV and ACA allow for more flexibility of the indoor conditions than the Fanger's PMV method. These flexible conditions would mean that unnecessary heating and cooling could be avoided in situations where there is still an acceptable degree of satisfaction with the indoor environment. These approaches would therefore help for an assessment in the context of sustainable building assessment, where satisfactory indoor conditions are sought, while ensuring low energy use and running costs and therefore improving environmental and economic performance of the building.

[1]  S. Healy,et al.  Air-conditioning and the ‘homogenization’ of people and built environments , 2008 .

[2]  Standard Ashrae.  Thermal Environmental Conditions for Human Occupancy , 1992 .

[3]  William J. Fisk,et al.  Some Quantitative Relations between Indoor Environmental Quality and Work Performance or Health , 2006 .

[4]  Tarja Häkkinen,et al.  Seeking sustainable solutions for office buildings , 2007 .

[5]  Susan Davis,et al.  Green Buildings and Productivity , 2011 .

[6]  Alison Kwok,et al.  Addressing climate change in comfort standards , 2010 .

[7]  J. F. Nicol,et al.  The validity of ISO-PMV for predicting comfort votes in every-day thermal environments , 2002 .

[8]  Riikka Holopainen,et al.  A human thermal model for improved thermal comfort , 2012 .

[9]  H. Hensel.  Thermoreception and temperature regulation. , 1981, Monographs of the Physiological Society.

[10]  Jlm Jan Hensen,et al.  On the thermal interaction of building structure and heating and ventilating system , 1991 .

[11]  Diana Gallego Carrera,et al.  Sustainability assessment of energy technologies via social indicators: Results of a survey among European energy experts , 2010 .

[12]  Pekka Tuomaala,et al.  Implementation and evaluation of air flow and heat transfer routines for building simulation tools , 2002 .

[13]  E. Halawa,et al.  The adaptive approach to thermal comfort: A critical overview , 2012 .

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

[15]  Edward Arens,et al.  Indoor Environmental Quality ( IEQ ) Title Are ' Class A ' temperature requirements realistic or desirable ? , 2009 .

[16]  E. Shove,et al.  Comfort in a lower carbon society , 2008 .

[17]  Amanjeet Singh,et al.  Effects of green buildings on employee health and productivity. , 2010, American journal of public health.

[18]  David E. Jacobs,et al.  Environmental burden of disease associated with inadequate housing. Methods for quantifying health impacts of selected housing risks in the WHO European Region , 2011 .

[19]  Le Thomas,et al.  'Green' buildings: What Australian users are saying , 2007 .

[20]  R. Yao,et al.  A theoretical adaptive model of thermal comfort – Adaptive Predicted Mean Vote (aPMV) , 2009 .

[21]  Petr Hájek,et al.  New trends in sustainability assessment systems – based on top-down approach and stakeholders needs , 2012 .

[22]  H. Zhang,et al.  Human thermal sensation and comfort in transient and non-uniform thermal environments , 2003 .

[23]  A. Auliciems,et al.  Airconditioning in Australia I – human thermal factors , 1986 .

[24]  J. F. Nicol,et al.  Thermal comfort as part of a self-regulating system , 1973 .