High-resolution mapping of residential wood burning heat sources using Energy Performance Certificates: a case study of England and Wales
High-resolution mapping of residential wood burning heat sources using Energy Performance Certificates: a case study of England and Wales
Backgound: particulate matter emissions from residential wood burning are rising in many countries. Long-term exposure to fine particulate matter is strongly linked with adverse health effects including cardiovascular and respiratory disease. Policymakers and scientists need accurate tools to identify residential wood burning hotspots. However, current methods rely on spatially-misaligned, out-of-date data sources, reducing their practical utility and portability to other contexts. Furthermore, the socio-economic characteristics of residential wood burning in high income countries are poorly understood.
Methods: we used open data from 26 million Energy Performance Certificates (EPCs) for properties in England and Wales from 2009-2025 to map the concentration and prevalence of wood burners within small areas. We evaluated our method against the UK national wood burning emissions inventory using national air pollution monitoring networks. We used novel open data linkages to characterise associations between area-level prevalence of wood burners and socio-economic factors including deprivation, ethnicity, and age.
Findings: we identified substantial spatial heterogeneity in the concentration of wood burners, with the highest concentrations in affluent urban areas. Our concentration metric was more strongly correlated with peaks in winter PM2.5 at urban monitoring sites than estimates from the UK national emissions inventory. Prevalence of wood burners was positively correlated with age and negatively correlated with measures of social deprivation. Prevalence of wood burners in EPCs has increased since 2009.
Conclusions: EPCs are a valuable data source which policymakers can use to target local interventions or extend existing restrictions on solid fuel burning. Our method is transparent, up-to-date, and portable to other countries where similar EPC data is available. The relationship between social deprivation and prevalence of wood burning heat sources highlights important issues of environmental justice. Epidemiological analyses of wood smoke exposures and health should carefully account for the confounding effects of age, deprivation, and ethnicity.
Air pollution, Built environment, Data science, Exposure assessment, Spatial statistics
Horsfall, Laura
e65e7988-353a-47e8-a56e-b24fadb231cb
Kennedy, Calum
ddbfd34b-88af-4045-a9ab-5e33143b75a3
Shelton, Nicola
008859b5-6a4a-43ec-ab1c-964ba5095955
Taylor, Jonathan
53edceec-7fee-4fbe-99df-b7d453b2064e
Hurst, John R.
37c4256e-b20f-4df0-ada0-cf3cbd59ecdf
Loxham, Matthew
8ef02171-9040-4c1d-8452-2ca34c56facb
Dennett, Adam
9e4cf62e-610b-4349-9832-56ee6d3e3ca9
Hardelid, Pia
67be3213-27da-42d7-9668-ce5cd4c33669
12 June 2025
Horsfall, Laura
e65e7988-353a-47e8-a56e-b24fadb231cb
Kennedy, Calum
ddbfd34b-88af-4045-a9ab-5e33143b75a3
Shelton, Nicola
008859b5-6a4a-43ec-ab1c-964ba5095955
Taylor, Jonathan
53edceec-7fee-4fbe-99df-b7d453b2064e
Hurst, John R.
37c4256e-b20f-4df0-ada0-cf3cbd59ecdf
Loxham, Matthew
8ef02171-9040-4c1d-8452-2ca34c56facb
Dennett, Adam
9e4cf62e-610b-4349-9832-56ee6d3e3ca9
Hardelid, Pia
67be3213-27da-42d7-9668-ce5cd4c33669
Horsfall, Laura, Kennedy, Calum, Shelton, Nicola, Taylor, Jonathan, Hurst, John R., Loxham, Matthew, Dennett, Adam and Hardelid, Pia
(2025)
High-resolution mapping of residential wood burning heat sources using Energy Performance Certificates: a case study of England and Wales.
Environment International, 201, [109537].
(doi:10.1016/j.envint.2025.109537).
Abstract
Backgound: particulate matter emissions from residential wood burning are rising in many countries. Long-term exposure to fine particulate matter is strongly linked with adverse health effects including cardiovascular and respiratory disease. Policymakers and scientists need accurate tools to identify residential wood burning hotspots. However, current methods rely on spatially-misaligned, out-of-date data sources, reducing their practical utility and portability to other contexts. Furthermore, the socio-economic characteristics of residential wood burning in high income countries are poorly understood.
Methods: we used open data from 26 million Energy Performance Certificates (EPCs) for properties in England and Wales from 2009-2025 to map the concentration and prevalence of wood burners within small areas. We evaluated our method against the UK national wood burning emissions inventory using national air pollution monitoring networks. We used novel open data linkages to characterise associations between area-level prevalence of wood burners and socio-economic factors including deprivation, ethnicity, and age.
Findings: we identified substantial spatial heterogeneity in the concentration of wood burners, with the highest concentrations in affluent urban areas. Our concentration metric was more strongly correlated with peaks in winter PM2.5 at urban monitoring sites than estimates from the UK national emissions inventory. Prevalence of wood burners was positively correlated with age and negatively correlated with measures of social deprivation. Prevalence of wood burners in EPCs has increased since 2009.
Conclusions: EPCs are a valuable data source which policymakers can use to target local interventions or extend existing restrictions on solid fuel burning. Our method is transparent, up-to-date, and portable to other countries where similar EPC data is available. The relationship between social deprivation and prevalence of wood burning heat sources highlights important issues of environmental justice. Epidemiological analyses of wood smoke exposures and health should carefully account for the confounding effects of age, deprivation, and ethnicity.
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Accepted/In Press date: 15 May 2025
e-pub ahead of print date: 3 June 2025
Published date: 12 June 2025
Keywords:
Air pollution, Built environment, Data science, Exposure assessment, Spatial statistics
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Local EPrints ID: 503236
URI: http://eprints.soton.ac.uk/id/eprint/503236
ISSN: 0160-4120
PURE UUID: 9e5378aa-a041-4030-81a2-f6565a86b0ae
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Date deposited: 24 Jul 2025 17:04
Last modified: 18 Sep 2025 01:47
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Contributors
Author:
Laura Horsfall
Author:
Calum Kennedy
Author:
Nicola Shelton
Author:
Jonathan Taylor
Author:
John R. Hurst
Author:
Adam Dennett
Author:
Pia Hardelid
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