Predicting adaptive responses - simulating occupied environments

J. A. Clarke, I. A. Macdonald, J. F. Nicol

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Simulation of building performance is increasingly being used in design practice to predict comfort of occupants in finished buildings. This is an area of great uncertainty: what actions does a person take when too warm or suffering from glare; how is comfort measured; how do groups of people interact to control environmental conditions, etc? An increasing attention to model these issues is evident in current research. Two issues are covered in this paper: how comfort can be assessed and what actions occupants are likely to make to achieve and maintain a comfortable status. The former issue describes the implementation of existing codes within a computational framework. This is non-trivial as information on local air velocities, radiant temperature and air temperature and relative humidity have to be predicted as they evolve over time in response to changing environmental conditions. This paper also presents a nascent algorithm for modelling occupant behaviour with respect to operable windows. The algorithm is based on results of several field studies which show the influence of internal and external temperatures on decision making in this respect. The derivation and implementation of the algorithm is discussed, highlighting areas where further effort could be of benefit.
Original languageEnglish
Title of host publicationProceedings of international comfort and energy use in buildings conference
Place of PublicationLondon
Number of pages11
Publication statusPublished - 2006
EventInternational NCEUB Conference: Windsor Conference 2006 Comfort and energy use in buildings - getting them right - Windsor, United Kingdom
Duration: 27 Apr 200630 Apr 2006


ConferenceInternational NCEUB Conference: Windsor Conference 2006 Comfort and energy use in buildings - getting them right
Country/TerritoryUnited Kingdom


  • building design
  • building simulation
  • energy
  • power systems
  • renewable energy
  • predicting adaptive responses
  • simulating
  • occupied environments


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