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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/15904

Title: Decision support systems for domestic retrofit provision using smart home data streams
Authors: Firth, Steven K.
Fouchal, Farid
Kane, Tom
Dimitriou, Vanda
Hassan, Tarek M.
Keywords: Decision Support Systems
Smart Homes
Performance-based analysis
Domestic building retrofit
Household energy monitoring
Issue Date: 2013
Publisher: CIB
Citation: FIRTH, S.K. ... et al, 2013. Decision support systems for domestic retrofit provision using smart home data streams. Presented at: CIB W78 2013 The 30th International Conference on Applications of IT in the AEC Industry. Move Towards Smart Buildings: Infrastructures and Cities, 9th-12th October 2013, Beijing, China.
Abstract: The scope of this paper is a study of the potential of decision support systems for retrofit provision in domestic buildings, using monitoring technologies and performance-based analysis. The key research question is: in the age of proliferation of cheap, mobile and networked sensing equipment, how can measured energy and performance data from multiple in-home sensors be utilised to accelerate building retrofit measures and energy demand reduction? Over the coming decade there will be a significant increase in the amount of measured data available from households, from national Smart Meter rollouts to personal Smart Home systems, which will provide unparalleled insights into how our homes are performing and how households are behaving. The new data streams from Smart Homes will challenge the prevailing research and policy initiatives for understanding and promoting energy-saving building retrofits. This work is part of a £1.5m UK Research Council funded project ‘REFIT: Personalised Retrofit Decision Support Tools for UK Homes using Smart Home Technology’ (www.refitsmarthomes.org). Three methods are combined to give multiple perspectives of the research challenge: 1) A literature review on Smart Homes with a focus on academic progress to date in this area; 2) Results from actual Smart Home monitored data streams, as measured in an on-going study of UK-based Smart Homes; and 3) a discussion of performance-based analysis leading to insights in decision support system provision for Smart Building owners. The approach outlined in this work will be of significant interest to national governments when promoting Smart Meter roll-outs, to energy companies in promoting new services using Smart Home data and to the academic community in providing a foundation for future studies to meet the domestic building retrofit challenge.
Description: This is a conference paper.
Sponsor: This work has been carried out as part of the REFIT project (‘Personalised Retrofit Decision Support Tools for UK Homes using Smart Home Technology’, £1.5m, [grant number EP/K002457/1]. REFIT is a consortium of three universities - Loughborough, Strathclyde and East Anglia - and ten industry stakeholders funded by the Engineering and Physical Sciences Research Council (EPSRC) under the Transforming Energy Demand in Buildings through Digital Innovation (BuildTEDDI) funding programme. For more information see: www.epsrc.ac.uk and www.refitsmarthomes.org
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/15904
Appears in Collections:Conference Papers (Civil and Building Engineering)

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