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DOMESTIC AIR CONDITIONING - Occupant Use and Operational Efficiency

Reference Number
GR/S45423/01
Title
DOMESTIC AIR CONDITIONING - Occupant Use and Operational Efficiency
Status
Completed
Energy Categories
Energy Efficiency(Residential and commercial)
Not Energy Related
Research Types
Basic and strategic applied research
Applied Research and Development
Science and Technology Fields
ENGINEERING AND TECHNOLOGY (Architecture and the Built Environment)
UKERC Cross Cutting Characterisation
Not Cross-cutting
Principal Investigator
Professor T Oreszczyn
Bartlett Sch of Env, Energy & Resources
University College London
Award Type
Standard
Funding Source
EPSRC
Start Date
01 March 2004
End Date
31 July 2006
Duration
29 months
Total Grant Value
£235,548
Industrial Sectors
Management & business studies
Region
London
Programme
Civil Engineering Responsive -- Process Environment and Sustainability
Investigators
Principal Investigator
Professor T Oreszczyn, Bartlett Sch of Env, Energy & Resources, University College London
Industrial Collaborator
Project Contact, National Energy Services
Project Contact, Energy Saving Trust Ltd (The)
Web Site
Objectives
Abstract
The research will first involve a desk-top study of domestic air conditioning sales in the UK (and interviews with key players in the field) to establish current and likely future market trends, future technological developments and details of system control, design and installation. This survey, along with the industrial partners, will be used to identify 300 premises, of various dwelling types and with a range of systems, for an occupant survey on purchase motivation, health status and usage patterns. From these, 150 premises will be identified for detailed monitoring over the summer, including full physical survey, collection of data for a BREDEM 8 calculation, environmental monitoring of internal spaces and the monitoring of system efficiency in a sub-set of 15 premises. Extreme weather monitoring will be carried out in another sub-set of 30 dwellings, including infrared thermography, pressure testing and the collection of occupant health status data. Sophisticated statistical analysis will be used to establish a number of weather normalised parameters, such as typical demand temperatures, hours of use, equipment CoPs and carbon emissions. A base temperature for cooling degree days will also be derived. In collaboration with others, a computer simulation study will test the validity of cooling algorithms for use in prediction models, such as BREDEM 8 12. Dissemination of results will be through a workshop held at the Bartlett and a final report, which will benefit from the workshop feedback.
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Added to Database
07/03/07