Abstract

Occupants' thermal sensitivity influences comfort temperature, thermal comfort models, and building energy simulation. To date, a universal thermal sensitivity estimate (i.e. 0.5/°C), the so-called Griffiths Constant, has been widely used to estimate comfort temperatures. However, recent field evidence indicates that the constant is actually a variable that changes according to context. The objective of this study is to explore the impact of different thermal sensitivity values on adaptive comfort models using the ASHRAE Global Thermal Comfort Database II. The method followed five main steps: i) subset Database II to include entries with the requisite parameters; ii) estimate neutral temperature using the standard Griffiths method; iii) iterate step “ii” using different thermal sensitivity values; iv) derive adaptive comfort models for air-conditioned and naturally ventilated office buildings considering global and European datasets; v) compare resulting models. The results highlight that occupants’ thermal sensitivity varies according to building ventilation type. Occupants in naturally ventilated offices were about half as sensitive to temperature changes as occupants in air-conditioned buildings. The most important outcome of this study is that thermal sensitivity and geographic region significantly affect the adaptive model relationship between outdoor temperature and indoor neutral temperature for occupants of naturally ventilated buildings; Occupants of European buildings are more sensitive to temperature changes than counterparts in other regions. The significance of this finding is that the adaptive model relationship forms the basis of the adaptive comfort standards, and so it has implications for both the design and operation of naturally ventilated and mixed-mode buildings.

Highlights

  • A key issue relating to the thermal comfort of building occupants is how sensitive they are to temperature changes inside their building? This issue has been investigated by analysing the relationship between the indoor temperature and the thermal sensation vote [1,2,3,4,5] to derive thermal sensitivity.1 The term “thermal sensitivity” is widely used and accepted in the thermal comfort domain [2,3,4,5,6] and is defined as the occupant’s sensitivity to changes in indoor temperature

  • The objective of this study is to explore the impact of different thermal sensitivity values on adaptive comfort models using the American Society of Heating (ASHRAE) Global Thermal Comfort Database II

  • We found a thermal sensitivity value of 0.47/◦C for occupants of air-conditioned office buildings and a value of 0.22/◦C for occupants of naturally ventilated office buildings, which was very similar to the values (0.44/◦C and 0.21/◦C, respectively) determined in a previous study based on Australian datasets [3]

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Summary

Introduction

A key issue relating to the thermal comfort of building occupants is how sensitive they are to temperature changes inside their building? This issue has been investigated by analysing the relationship between the indoor temperature and the thermal sensation vote [1,2,3,4,5] to derive thermal sensitivity. The term “thermal sensitivity” is widely used and accepted in the thermal comfort domain [2,3,4,5,6] and is defined as the occupant’s sensitivity to changes in indoor temperature. The term “thermal sensitivity” is widely used and accepted in the thermal comfort domain [2,3,4,5,6] and is defined as the occupant’s sensitivity to changes in indoor temperature. This coefficient quantifies the occupants’ change in thermal sensation per unit of room temperature change (C− 1). An alternative method to estimate occupant’s sensitivity to changes in indoor temperature is the Griffiths method [1] This method is based on the assumption of a universal constant value of 0.5/◦C (i.e., the so-called Griffiths Constant) irrespective of context. This value was Abbreviations: AC, Air-Conditioning; ASHRAE, American Society of Heating, Refrigerating and Air-conditioning Engineers; CIBSE, Chartered Institution of Building Services Engineers; DBII, ASHRAE Global Thermal Comfort Database II; EN, European Standard; GC, Griffiths Constant; GHCN-D, Global Historical Climatology Network Daily repository; MM, Mixed-Mode; N, Number of observations; NOAA, National Oceanic and Atmospheric Administration; NV, Natural Ventilation; S.E., Standard Error; SCATs, smart controls and thermal comfort; TSV, Thermal Sensation Vote

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