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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/16517

Title: Developing a geographically detailed housing stock model for the North East of England
Authors: Lee, Timothy
He, Miaomiao
Taylor, Simon
Firth, Steven K.
Lomas, Kevin J.
Keywords: Domestic stock model
Geographic variations
Energy modelling
Issue Date: 2014
Publisher: Urban Sustainability and Resilience (USAR) Conference Series
Citation: LEE, T. ... et al., 2014. Developing a geographically detailed housing stock model for the North East of England. IN: Proceedings of the 2nd International Conference on Urban Sustainability and Resilience, London, UK, 3 – 5 November 2014.
Abstract: Housing stock models predict long term changes in the stock to inform national policy. They operate with a set of reference dwellings representing the national stock, which are changed in response to different scenarios. However, national level models do not consider geographical variations (urban location/rural surroundings, index of multiple deprivation score, etc.), so cannot aid in targeting improvement measures (eg: insulation, microgeneration, etc.) locally. A geographically varying model can identify which measures are most appropriate in a particular location. In this paper a method has been designed and implemented using information at LSOA level (c. 700 dwellings each) to introduce geographical variation for a model of the North East of England. It has been tested against DECC meter data and over 80% of LSOAs are predicted to within ±25% of DECC’s data. The model allows localised policies and interventions to be tested, and is principally of interest to local government and energy efficiency initiatives.
Description: This is a conference paper.
Sponsor: This work is supported by the Engineering and Physical Sciences Research Council (EPSRC) under their Sustainable Urban Environment Programme (grant EP/I002154/1) to SECURE: Self Conserving Urban Environments, https://www. secure-project.org/. SECURE is a consortium of four UK universities: Newcastle University, the University of Sheffield, the University of Exeter and Loughborough University.
Version: Published
URI: https://dspace.lboro.ac.uk/2134/16517
ISSN: 2051-1361
Appears in Collections:Conference Papers (Civil and Building Engineering)

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