Spatial mapping of building energy demand in Great Britain

Maps of energy demand from buildings in Great Britain have been created at 1 km square resolution. They reveal the spatial variation of demand for heat and electricity, of importance for energy distribution studies and particularly for bioenergy research given the significant distance‐based restrictions on the viability of bioenergy crops. Maps representing the spatial variation of energy demand for the year 2009 were created using publicly available sub‐national gas and electricity consumption data. A new statistical model based on census data was used to increase the spatial resolution. The energy demand was split into thermal energy (the heat energy required for space heating and hot water) and electricity used for purposes other than heating (nonheating electricity or NHE) and was determined separately for the domestic and nondomestic sectors. ‘Scenario factors,’ representing the fractional change at national level in the demand for heat and NHE, were derived from scenarios constructed by UKERC. These scenarios represent a range of pathways from the present day to 2050. The present work focused on the two cases of greatest relevance, the ‘low carbon’ and ‘additional policies’ scenarios, and factors for both were derived, for the demand types described, for every 5 years between 2000 and 2050. Approximately, future spatial energy demands can be obtained by applying the scenario factors to the base mapping data for 2009.

[1]  Vida N. Sharifi,et al.  Developments to an existing city-wide district energy network - Part I: Identification of potential expansions using heat mapping , 2012 .

[2]  J. Keirstead,et al.  Capturing spatial effects, technology interactions, and uncertainty in urban energy and carbon models: Retrofitting newcastle as a case-study , 2012 .

[3]  Gabrial Anandarajah,et al.  The UK Energy System in 2050: Comparing Low-Carbon, Resilient Scenarios , 2013 .

[4]  Eleonora Sad de Assis,et al.  Urban energy consumption mapping for energy management , 2013 .

[5]  Richard Loulou,et al.  Energy Technology Systems Analysis Programme , 2005 .

[6]  Evelina Trutnevyte,et al.  Patterns of residential heat demand in rural Switzerland , 2012 .

[7]  A. Wright,et al.  Targeting household energy-efficiency measures using sensitivity analysis , 2010 .

[8]  Jonathan B. Norman,et al.  Spatial modelling of industrial heat loads and recovery potentials in the UK , 2010 .

[9]  N. S. Barnett,et al.  Private communication , 1969 .

[10]  Parliamentary Counsel Department of Energy and Climate Change (Abolition) Bill , 2015 .

[11]  Gail Taylor,et al.  The potential for bioenergy crops to contribute to meeting GB heat and electricity demands , 2014 .

[12]  M. Quddus,et al.  Spatially Disaggregated Domestic Road Transport Energy Demand in Great Britain , 2013 .

[13]  Amanda M. Thomson,et al.  Projections of emissions and removals from the LULUCF sector to 2050. Contract report for the Department of Energy and Climate Change (DECC) , 2011 .

[14]  Neil Brown,et al.  Information, communication and entertainment appliance use—Insights from a UK household study , 2012 .

[15]  Andrew J. Wright What is the relationship between built form and energy use in dwellings , 2008 .

[16]  A. Hastings,et al.  Food vs. fuel: the use of land for lignocellulosic ‘next generation’ energy crops that minimize competition with primary food production , 2012 .