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Local Energy Mapping Using Publicly Available Data for Urban Energy Retrofit

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Building Information Modelling, Building Performance, Design and Smart Construction

Abstract

There is an urgent need to improve the energy performance of the built environment, so as to help alleviate fuel poverty, meet national carbon targets, and improve the local economy. This is why local authorities have targets to reduce carbon emissions and fuel poverty and to create long-term, high-quality jobs in their areas. Large-scale energy retrofit schemes can address these objectives but they need to be better targeted, more cost-effective and result in a higher uptake. This chapter investigates how publicly available datasets on housing and energy can be used to plan mass retrofit and provide targeted low carbon measures across a city, in order to address the challenges of having: incomplete data on which homes could benefit from which retrofit measures and the inability to aggregate private sector housing retrofit activities to minimise installation costs. Energy-related assessments are preformed using publicly available national and local data throughout Bicester, Oxfordshire, and presented using a GIS platform. Key datasets include Ordnance Survey (OS) Mastermap, OS Address-point, Energy Performance Certificate data (EPC), and Sub-national energy statistics. The EPC data (6000 properties) and sub-national data for Bicester are used to identify areas with high energy consumption, fuel poverty, and those in need of wall and roof insulation. Interestingly, when the entire EPC dataset for Bicester was compared to the entire town of Bicester’s sub-national figure, the values were only off by ~800 kWh. On the other hand at a house level, there appears to be an overestimate of between 3000 and 4000 kWh/yr. in the mean energy figure for the EPCs, as compared to sub-national data.

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References

  • Amecke, H. (2012). The impact of energy performance certificates: A survey of German home owners. Energy Policy, 46, 4–14.

    Article  Google Scholar 

  • Association for the Conservation of Energy [ACE]. (2015). The cold man of Europe—2015. Association for the Conservation of Energy. Retrieved May 17, 2016, from http://www.ukace.org.

  • Building Research Establishment [BRE] (2012) Energy Performance Certificates for existing dwellings: RdSAP manual, Version 8.0. Retrieved May 17, 2016, from http://www.bre.co.uk.

  • Christensen, T. H., Gram-Hanssen, K., de Best-Waldhober, M., & Adjei, A. (2014). Energy retrofits of Danish homes: Is the Energy Performance Certificate useful? Building Research & Information, 42(4), 489–500.

    Article  Google Scholar 

  • Centre for Sustainable Energy [CSE] (2015) Mapping energy performance certificate data by parliamentary constituency: Feasibility report to Citizens Advice. Retrieved March 7, 2016, from https://www.cse.org.uk.

  • Davis, P. T., McCord, J. A., McCord, M., & Haran, M. (2015). Modelling the effect of energy performance certificate rating on property value in the Belfast housing market. International Journal of Housing Markets and Analysis, 8(3), 292–317.

    Article  Google Scholar 

  • DCLG. (n.d.). Domestic Energy Performance Certificate Register. Department for Communities and Local Government. Retrieved March 7, 2016, from https://www.epcregister.com.

  • DECC. (2015a). Fuel poverty sub-regional statistics. Department of Energy & Climate Change. Retrieved March 7, 2016, from https://www.gov.uk.

  • DECC. (2015b). Sub-national consumption statistics: Methodology and guidance booklet. Department of Energy & Climate Change. Retrieved March 7, 2016, from https://www.gov.uk.

  • DECC. (2015c). Average domestic gas and electricity consumption, UK, 2008 to 2014, table 3.07. Department of Energy & Climate Change. Retrieved March 7, 2016, from https://www.gov.uk.

  • DECC. (2016). Sub-national consumption statistics. Department of Energy & Climate Change. Retrieved March 7, 2016, from https://www.gov.uk.

  • DECC. (n.d.). About the National Heat Map. Department of Energy & Climate Change. Retrieved March 7, 2016, from http://tools.decc.gov.uk.

  • GOV.UK. (2015). Buying or selling your home. GOVE.UK. Retrieved June 17, 2016, from https://www.gov.uk/buy-sell-your-home/energy-performance-certificates.

  • Gupta, R., & Gregg, M. (2012). Using a mapping-based simulation approach to rapidly investigate the potential for adapting English homes for a warming climate. In Z. Zhai, X. Li, & H. Wang (Eds.), Proceedings of the Second International Conference on Building Energy and Environment (COBEE 2012). 1–4 August 2012, Boulder, Colorado, USA. pp. 744–751.

    Google Scholar 

  • Gupta, R., & Gregg, M. (2014). A quiet revolution: Mapping energy use in low carbon communities. In R. Rawal, S. Manu, N. Khadpekar (Eds.), Proceedings of the 30th International PLEA Conference: Sustainable habitat for developing societies—Choosing The Way Forward; December 16–18, 2014; Ahmedabad, India.

    Google Scholar 

  • Gupta, R., Barnfield, L., & Hipwood, T. (2014). Impacts of community-led energy retrofitting of owner-occupied dwellings. Building Research & Information, 42(4), 446–461.

    Article  Google Scholar 

  • HM Government. (2011). The carbon plan: Delivering our low carbon future. London: DECC.

    Google Scholar 

  • Mastrucci, A., Baume, O., Stazi, F., & Leopold, U. (2014). Estimating energy savings for the residential building stock of an entire city: A GIS-based statistical downscaling approach applied to Rotterdam. Energy and Buildings, 75, 358–367.

    Article  Google Scholar 

  • Palmer, J., & Cooper, I. (2013). United Kingdom housing energy fact file. London: DECC.

    Google Scholar 

  • Pereira, I., & Assis, E. (2013). Urban energy consumption mapping for energy management. Energy Policy, 59(2013), 257–269.

    Article  Google Scholar 

  • Sellwood, P. (2015) Energy Saving Trust CEO responds to Green Deal cuts. Energy Saving Trust. Retrieved March 7, 2016, from http://www.energysavingtrust.org.uk.

  • Sunikka-Blank, M., Chen, J., Britnell, J., & Dantsiou, D. (2012). Improving energy efficiency of social housing areas: A case study of a retrofit achieving an “A” energy performance rating in the UK. European Planning Studies, 20(1), 131–145.

    Article  Google Scholar 

  • Wade, J., Eyre, N., Hamilton, J., & Parag, Y. (2013). Local energy governance: communities and energy efficiency policy. In T. Lindstrom (Ed.), eceee Summer Study proceedings, 2–7 June 2013, Belambra Les Criques, Presqu’île de Giens, Toulon/Hyères, France.

    Google Scholar 

  • Zhou, Y., Weng, Q., Gurney, K., Shuai, Y., & Hu, X. (2012). Estimation of the relationship between remotely sensed anthropogenic heat discharge and building energy use. ISPRS Journal of Photogrammetry and Remote Sensing, 67(2012), 65–72.

    Article  Google Scholar 

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Correspondence to Rajat Gupta .

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Gupta, R., Gregg, M. (2017). Local Energy Mapping Using Publicly Available Data for Urban Energy Retrofit. In: Dastbaz, M., Gorse, C., Moncaster, A. (eds) Building Information Modelling, Building Performance, Design and Smart Construction. Springer, Cham. https://doi.org/10.1007/978-3-319-50346-2_15

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  • DOI: https://doi.org/10.1007/978-3-319-50346-2_15

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