The University of Southampton
University of Southampton Institutional Repository

Generating empirical probabilities of metabolic rate and clothing insulation values in field studies using wearable sensors

Generating empirical probabilities of metabolic rate and clothing insulation values in field studies using wearable sensors
Generating empirical probabilities of metabolic rate and clothing insulation values in field studies using wearable sensors
This research introduces a mixed-method framework to estimate metabolic rate and clothing insulation as objective and quantitative variables. Methods included automated visual diaries and both environmental and wearable sensors. Applying this framework in an exploratory study, during the winters of 2012 and 2013, allowed empirical probabilities of metabolic rate and clothing insulation values to be generated. The results indicate that current standards overestimate winter clothing insulation by 22% but underestimate residential metabolic activity by 9%. Beyond reviewing the standards thresholds, these probability distributions may be used as input to building energy simulation (BES) programs.
Thermal comfort, Predictive indices, Occupant behaviour, Mixed-methods, Ubiquitous sensor technologies.
Gauthier, S.
4e7702f7-e1a9-4732-8430-fabbed0f56ed
Shipworth, D.
f0c2fd64-352f-48f3-b518-e240b4801f2e
Gauthier, S.
4e7702f7-e1a9-4732-8430-fabbed0f56ed
Shipworth, D.
f0c2fd64-352f-48f3-b518-e240b4801f2e

Gauthier, S. and Shipworth, D. (2014) Generating empirical probabilities of metabolic rate and clothing insulation values in field studies using wearable sensors. 13th International Conference on Indoor Air Quality and Climate, Hong Kong.

Record type: Conference or Workshop Item (Paper)

Abstract

This research introduces a mixed-method framework to estimate metabolic rate and clothing insulation as objective and quantitative variables. Methods included automated visual diaries and both environmental and wearable sensors. Applying this framework in an exploratory study, during the winters of 2012 and 2013, allowed empirical probabilities of metabolic rate and clothing insulation values to be generated. The results indicate that current standards overestimate winter clothing insulation by 22% but underestimate residential metabolic activity by 9%. Beyond reviewing the standards thresholds, these probability distributions may be used as input to building energy simulation (BES) programs.

Text
Paper_HP0418_v02.pdf - Other
Download (346kB)

More information

Published date: July 2014
Venue - Dates: 13th International Conference on Indoor Air Quality and Climate, Hong Kong, 2014-07-01
Keywords: Thermal comfort, Predictive indices, Occupant behaviour, Mixed-methods, Ubiquitous sensor technologies.
Organisations: Energy & Climate Change Group

Identifiers

Local EPrints ID: 378791
URI: http://eprints.soton.ac.uk/id/eprint/378791
PURE UUID: 923f0ad7-f8fe-492b-b8d9-929bae1cd7a7
ORCID for S. Gauthier: ORCID iD orcid.org/0000-0002-1720-1736

Catalogue record

Date deposited: 21 Jul 2015 11:20
Last modified: 15 Mar 2024 03:52

Export record

Contributors

Author: S. Gauthier ORCID iD
Author: D. Shipworth

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.

×