Dynamic modelling of a large scale retrofit programme for the housing stock in the North East of England
conference contribution
posted on 2014-12-19, 11:37 authored by Candy He, Timothy Lee, Simon Taylor, Steven FirthSteven Firth, Kevin LomasKevin LomasHousing stock models have long been employed to estimate the
baseline energy demand of the existing housing stock, as well as to predict the
effectiveness of applying different retrofit measures and renewable technologies
on reducing the energy demand and corresponding CO2 emissions. This
research aims to develop a dynamic housing stock model to simulate the hourby-hour
energy demands of 1.2 million dwellings in the North East (NE) of
England using the 2008-9 English Housing Survey (EHS) data. The model is
validated by comparison to a steady-state energy model. Using the model, new
results predicting the impact of a large scale retrofit programme for the NE
housing stock are generated.
Funding
This work was carried out as part of the Self Conserving Urban Environments (SECURE) project which was funded by the Engineering and Physical Science Research Council (EPSRC) under their Sustainable Urban Environment programme (grant EP/I002154/1). SECURE is a consortium of four UK universities: Newcastle University, the University of Sheffield, the University of Exeter and Loughborough University. The project website is https://www.secure-preject.org/
History
School
- Architecture, Building and Civil Engineering
Published in
USAR 2014Pages
- - ?Citation
HE, M. ... et al., 2014. Dynamic modelling of a large scale retrofit programme for the housing stock in the North East of England. IN: Proceedings of the 2nd International Conference on Urban Sustainability and Resilience, London, UK, 3 – 5 November 2014.Publisher
Urban Sustainability and Resilience (USAR) Conference SeriesVersion
- VoR (Version of Record)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Publication date
2014Notes
This is a conference paper.ISSN
2051-1361Language
- en
