The University of Southampton
University of Southampton Institutional Repository

Predictive thermal comfort model: are current field studies measuring the most influential variables?

Predictive thermal comfort model: are current field studies measuring the most influential variables?
Predictive thermal comfort model: are current field studies measuring the most influential variables?
Thermal comfort has widespread implications, including health and energy consumption, yet little is known about the interrelation between thermal-discomfort response and physical dependencies. Empirical research on occupants’ interaction with their home environment calls for a holistic socio-technical approach. The aim of this paper is to report on an evaluation of the sensitivity of the predictive thermal-comfort model, as described in the BS EN ISO 7730 standard. In light of the results of this analysis, this paper presents a methodological framework to measure the occupants’ activity levels. One of the key aims is to gather accurate measurement while using ‘discreet’ observatory systems to have minimum impact on the occupants’ behaviour. With recent emergence of, and advancements in, more accurate and affordable sensing technologies, this problem can potentially be overcome.
activity level, thermal comfort, predictive model, sensitivity analysis
1-14
NCEUB
Gauthier, S.
4e7702f7-e1a9-4732-8430-fabbed0f56ed
Shipworth, D.
f0c2fd64-352f-48f3-b518-e240b4801f2e
Nicol, Fergus
Roaf, Sue
Brotas, Luisa
Humphreys, Michael
Gauthier, S.
4e7702f7-e1a9-4732-8430-fabbed0f56ed
Shipworth, D.
f0c2fd64-352f-48f3-b518-e240b4801f2e
Nicol, Fergus
Roaf, Sue
Brotas, Luisa
Humphreys, Michael

Gauthier, S. and Shipworth, D. (2012) Predictive thermal comfort model: are current field studies measuring the most influential variables? Nicol, Fergus, Roaf, Sue, Brotas, Luisa and Humphreys, Michael (eds.) In Proceedings of 7th Windsor Conference: The Changing Context of Comfort in an Unpredictable World, Cumberland Lodge, Windsor, UK, 12-15 April 2012. London. NCEUB. pp. 1-14 .

Record type: Conference or Workshop Item (Paper)

Abstract

Thermal comfort has widespread implications, including health and energy consumption, yet little is known about the interrelation between thermal-discomfort response and physical dependencies. Empirical research on occupants’ interaction with their home environment calls for a holistic socio-technical approach. The aim of this paper is to report on an evaluation of the sensitivity of the predictive thermal-comfort model, as described in the BS EN ISO 7730 standard. In light of the results of this analysis, this paper presents a methodological framework to measure the occupants’ activity levels. One of the key aims is to gather accurate measurement while using ‘discreet’ observatory systems to have minimum impact on the occupants’ behaviour. With recent emergence of, and advancements in, more accurate and affordable sensing technologies, this problem can potentially be overcome.

Text
W1232 Gauthier.pdf - Other
Download (1MB)

More information

Published date: April 2012
Keywords: activity level, thermal comfort, predictive model, sensitivity analysis
Organisations: Energy & Climate Change Group

Identifiers

Local EPrints ID: 378774
URI: http://eprints.soton.ac.uk/id/eprint/378774
PURE UUID: 74f991e4-4835-4035-b8b6-c0c4f62d3e9c
ORCID for S. Gauthier: ORCID iD orcid.org/0000-0002-1720-1736

Catalogue record

Date deposited: 20 Jul 2015 13:06
Last modified: 03 Dec 2019 01:33

Export record

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×