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Developing English domestic occupancy profiles

Developing English domestic occupancy profiles
Developing English domestic occupancy profiles
Occupancy patterns are necessary to estimate energy demand and evaluate thermal comfort in households. Because of this, many European countries are developing representative domestic schedules to replace outdated criteria. This paper evaluates the state of knowledge of UK domestic occupancy patterns and develops new domestic occupancy profiles for England. The presented research (1) characterizes methods for collecting occupancy data and inferring patterns; (2) identifies and assesses the quality of categories of occupancy patterns used in building simulation; and (3) develops updated occupancy profiles. A systematic scoping review identified social and monitoring surveys as the most deployed data-collection methods. A systematic literature review also established that the occupancy categories most frequently used in UK building simulation are (a) a family with dependent children where the parents work full time; and (b) a retired elderly couple who spend most of their time indoors. The interview sample from the English Housing Survey 2014–15 was used to map household typologies. Results show that categories (a) and (b) combined amount to only 19% of England’s households, which suggest models are over-reliant on these groups. Considering this result, the paper develops occupancy patterns for England derived from 2015 UK Time Use Survey diaries for each household typology previously identified.
demographic, household, modelling, monitoring, occupancy patterns, occupant behaviour, occupants, social survey, time, time use
0961-3218
375-393
Aragon, Victoria
f2a397a1-9d24-4f68-8f22-cc3270761d82
Gauthier, Stephanie
4e7702f7-e1a9-4732-8430-fabbed0f56ed
Warren, Peter
37de19c8-eb71-4204-8570-a520ae5e1432
James, Patrick A.B.
da0be14a-aa63-46a7-8646-a37f9a02a71b
Anderson, Ben
01e98bbd-b402-48b0-b83e-142341a39b2d
Aragon, Victoria
f2a397a1-9d24-4f68-8f22-cc3270761d82
Gauthier, Stephanie
4e7702f7-e1a9-4732-8430-fabbed0f56ed
Warren, Peter
37de19c8-eb71-4204-8570-a520ae5e1432
James, Patrick A.B.
da0be14a-aa63-46a7-8646-a37f9a02a71b
Anderson, Ben
01e98bbd-b402-48b0-b83e-142341a39b2d

Aragon, Victoria, Gauthier, Stephanie, Warren, Peter, James, Patrick A.B. and Anderson, Ben (2017) Developing English domestic occupancy profiles. Building Research & Information, 47 (4), 375-393. (doi:10.1080/09613218.2017.1399719).

Record type: Article

Abstract

Occupancy patterns are necessary to estimate energy demand and evaluate thermal comfort in households. Because of this, many European countries are developing representative domestic schedules to replace outdated criteria. This paper evaluates the state of knowledge of UK domestic occupancy patterns and develops new domestic occupancy profiles for England. The presented research (1) characterizes methods for collecting occupancy data and inferring patterns; (2) identifies and assesses the quality of categories of occupancy patterns used in building simulation; and (3) develops updated occupancy profiles. A systematic scoping review identified social and monitoring surveys as the most deployed data-collection methods. A systematic literature review also established that the occupancy categories most frequently used in UK building simulation are (a) a family with dependent children where the parents work full time; and (b) a retired elderly couple who spend most of their time indoors. The interview sample from the English Housing Survey 2014–15 was used to map household typologies. Results show that categories (a) and (b) combined amount to only 19% of England’s households, which suggest models are over-reliant on these groups. Considering this result, the paper develops occupancy patterns for England derived from 2015 UK Time Use Survey diaries for each household typology previously identified.

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More information

Accepted/In Press date: 29 October 2017
e-pub ahead of print date: 28 November 2017
Keywords: demographic, household, modelling, monitoring, occupancy patterns, occupant behaviour, occupants, social survey, time, time use

Identifiers

Local EPrints ID: 416376
URI: https://eprints.soton.ac.uk/id/eprint/416376
ISSN: 0961-3218
PURE UUID: d7c23c66-013d-4827-a481-70668f320f00
ORCID for Victoria Aragon: ORCID iD orcid.org/0000-0002-6175-9454
ORCID for Stephanie Gauthier: ORCID iD orcid.org/0000-0002-1720-1736
ORCID for Ben Anderson: ORCID iD orcid.org/0000-0003-2092-4406

Catalogue record

Date deposited: 14 Dec 2017 17:30
Last modified: 18 Jul 2019 11:22

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