Evans, S;
Godoy-Shimizu, D;
Humphrey, D;
Steadman, P;
Ruyssevelt, P;
Liddiard, R;
(2020)
Urban density and energy efficiency in the London Building Stock Model.
In:
Proceedings of the Energy Evaluation Europe 2020 Conference.
Energy Evaluation: London, UK.
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Abstract
The London Building Stock Model, commissioned by the Greater London Authority (GLA) contains detailed data on every separate domestic and non-domestic building in Greater London. It includes threedimensional information about buildings including their heights, volumes, wall areas, floor areas and the distribution of activities between different floors. These data are drawn from University College London Energy Institute’s existing 3DStock model of London. Within the model information is attached on the ages of buildings, their materials of construction, and (in some cases) their servicing systems. Energy Performance Certificates (EPCs) and Display Energy Certificates (DECs) are also attached to premises and dwellings along with gas and electricity energy consumption. Buildings in London are responsible for over 65% of the total carbon dioxide (CO2) emissions attributed to the Greater London region in 2016. Reducing CO2 emissions that can be attributed to buildings is the key focus of this work in line with the GLA’s ambition to dramatically reduce these overall CO2 emissions; aiming to make London a zero-carbon city by 2050. Improving the energy performance of existing buildings has to be a key strategy if the overall CO2 emissions are to be reduced. Knowing the characteristics and current energy efficiency of the building stock is the first step towards reducing direct and indirect CO2 emissions from these buildings. Collecting the data is one challenge, but making sense of these huge quantities of data is a bigger challenge. Structuring the data can help here and so for this paper we present the evaluation of energy efficiency of buildings in London using urban density to aggregate the data. Energy efficiency is measured from both EPCs and energy consumption. Some of the existing measures that might influence current energy efficiency are then shown at different levels of urban density. Finally, in order to address the improvement of the energy efficiency we quantify the ‘potential’ improvements of these buildings (according to the EPC recommendations) and hence the suitability of different retrofit solutions, again aggregated by urban density. The results show that energy use intensity decreases as urban density increases; that urban density has some influence on existing efficiency measures and finally that most of the measures of retrofit potential change with increasing urban density.
Type: | Proceedings paper |
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Title: | Urban density and energy efficiency in the London Building Stock Model |
Event: | Energy Evaluation Europe 2020 Conference |
Location: | London, UK |
Dates: | 29 June 2020 - 01 July 2020 |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | https://energy-evaluation.org/ |
Language: | English |
Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources |
URI: | https://discovery.ucl.ac.uk/id/eprint/10118518 |
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