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Duodu, B, Melagoda, D G and Rowlinson, S (2024) Innovation ambidexterity in construction firms: external knowledge antecedents and performance consequences. Construction Management and Economics, 42(06), 503–26.
Franz, B W and Olopade, J (2024) Exploring pathways to project success through project delivery team integration: a qualitative comparative analysis. Construction Management and Economics, 42(06), 564–81.
Gholipour, H F, Farzanegan, M R and Abu Al-Foul, M N (2024) House prices and labour productivity growth: Evidence from OECD countries. Construction Management and Economics, 42(06), 582–9.
Gunay, H B, O'Brien, W, Beausoleil-Morrison, I and Huchuk, B (2014) On adaptive occupant-learning window blind and lighting controls. Building Research & Information, 42(06), 739-56.
Lundgren, R, Kyrö, R and Olander, S (2024) The lifecycle impact and value capture of circular business models in the built environment. Construction Management and Economics, 42(06), 527–44.
Morgan, M and Cruickshank, H (2014) Quantifying the extent of space shortages: English dwellings. Building Research & Information, 42(06), 710-24.
Park, H, Meacham, B J, Dembsey, N A and Goulthorpe, M (2014) Integration of fire safety and building design. Building Research & Information, 42(06), 696-709.
Rovers, R (2014) New energy retrofit concept: ‘renovation trains’ for mass housing. Building Research & Information, 42(06), 757-67.
Short, C A, Noakes, C J, Gilkeson, C A and Fair, A (2014) Functional recovery of a resilient hospital type. Building Research & Information, 42(06), 657-84.
Signor, R, Love, P E D and Ballesteros-Pérez, P (2024) Detecting bid rigging in public auctions for procuring infrastructure projects: formulating the reference scenario for decision-making. Construction Management and Economics, 42(06), 545–63.
Stephan, A and Crawford, R H (2014) A comprehensive life cycle water analysis framework for residential buildings. Building Research & Information, 42(06), 685-95.
Stone, A, Shipworth, D, Biddulph, P and Oreszczyn, T (2014) Key factors determining the energy rating of existing English houses. Building Research & Information, 42(06), 725-38.
- Type: Journal Article
- Keywords:
- ISBN/ISSN: 0961-3218
- URL: https://doi.org/10.1080/09613218.2014.905383
- Abstract:
In the UK, the Standard Assessment Procedure (SAP) is used to rate the energy performance of existing dwellings whenever they are let or sold. This study investigates which of the inputs to SAP account for the most variance in energy rating across existing gas central heated houses in England. Data from the English Housing Survey (EHS) 2009 are used to generate a representative set of dwellings and variance-based global sensitivity analysis is then applied to assess each input's contribution to the variance in the calculated ratings. It is demonstrated that heating system efficiency, external wall U-value and dwelling geometry account for 75% of the variance of the energy rating of gas central heated houses in England. This suggests that improving heating system efficiencies and wall U-values of the worst performing dwellings will go a long way towards improving their energy rating and potentially reducing their energy consumption. It is also demonstrated that dwelling geometry has a much bigger influence on the calculated carbon emissions (accounting for 80% of the variance) than it does on the SAP energy rating (accounting for 30%), meaning that significant improvements in energy rating might not be accompanied by significant reductions in carbon emissions.