Quantitative evaluation of deep retrofitted social housing using metered gas data
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|Title:||Quantitative evaluation of deep retrofitted social housing using metered gas data||Authors:||Beagon, Paul; Boland, Fiona; O'Donnell, James||Permanent link:||http://hdl.handle.net/10197/11000||Date:||1-Jul-2018||Online since:||2019-08-20T09:52:40Z||Abstract:||Research into home energy retrofit is important because most existing homes will operate in 2050. A lack of funding or incentives often prevents home energy retrofit, particularly of social housing. This study analysed retrofitted Irish social housing and their gas meter data, including pre-payment meters that require regular “top-ups” purchased from shops. The data comprised records from 100 retrofit and control group homes throughout 2013–2015. A novel evaluation of retrofitted rented homes processed meter data into multiple metrics. Gas consumption is computed per house and weather correction is incorporated, enabling statistical testing of the retrofit. A “difference in difference” technique compared the retrofit and control groups. Gas consumptions of the most popular building type are plotted as distribution curves before and after retrofit. Subsequently the energy use intensity (kWh/m2/year) is computed per home; leading to calculation of the prebound effect. In social housing, the prebound effect quantifies energy underconsumption due to self-rationing. Retrofit significantly reduced gas consumption, and reduced its variance among homes. A small positive skewness in the statistical distribution of home gas consumption prevented characterisation as a normal distribution. The prebound effect is high, but alleviated by the retrofit. Finally, retrofit extended average pre-payment intervals.||Funding Details:||Science Foundation Ireland||Type of material:||Journal Article||Publisher:||Elsevier||Journal:||Energy and Buildings||Volume:||170||Start page:||242||End page:||256||Copyright (published version):||2018 Elsevier||Keywords:||Social housing; Retrofit; Gas consumption||DOI:||10.1016/j.enbuild.2018.04.022||Language:||en||Status of Item:||Peer reviewed||ISSN:||0378-7788|
|Appears in Collections:||Mechanical & Materials Engineering Research Collection|
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