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The role of environmental and personal variables in influencing thermal comfort indices used in building simulation

The role of environmental and personal variables in influencing thermal comfort indices used in building simulation
The role of environmental and personal variables in influencing thermal comfort indices used in building simulation
The need to identify variables, which influence human behaviour, has become one of the priorities in the quest to reduce energy demand. Environmental and personal variables, as set out in the thermal comfort models, have long been associated with people’s behaviour by predicting their state of thermal comfort or rather discomfort. The aim of this paper is to explore and to report on the influences of these variables on thermal discomfort indices used in building simulation models. Surprisingly, the results of the sensitivity analysis show that different indices are most sensitive to different variables.
2320-2325
International Building Performance Simulation Association
Gauthier, S.
4e7702f7-e1a9-4732-8430-fabbed0f56ed
Gauthier, S.
4e7702f7-e1a9-4732-8430-fabbed0f56ed

Gauthier, S. (2013) The role of environmental and personal variables in influencing thermal comfort indices used in building simulation. In Proceedings of BS2013: 13th Conference of International Building Performance Simulation Association, Chambéry, France, August 26-28. International Building Performance Simulation Association. pp. 2320-2325 .

Record type: Conference or Workshop Item (Paper)

Abstract

The need to identify variables, which influence human behaviour, has become one of the priorities in the quest to reduce energy demand. Environmental and personal variables, as set out in the thermal comfort models, have long been associated with people’s behaviour by predicting their state of thermal comfort or rather discomfort. The aim of this paper is to explore and to report on the influences of these variables on thermal discomfort indices used in building simulation models. Surprisingly, the results of the sensitivity analysis show that different indices are most sensitive to different variables.

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Accepted/In Press date: August 2013
Published date: 2013
Organisations: Energy & Climate Change Group

Identifiers

Local EPrints ID: 378782
URI: http://eprints.soton.ac.uk/id/eprint/378782
PURE UUID: 75bcb8fc-643c-4bf8-b298-e6964bc67aef
ORCID for S. Gauthier: ORCID iD orcid.org/0000-0002-1720-1736

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Date deposited: 20 Jul 2015 13:44
Last modified: 16 Mar 2024 04:21

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