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Energies
Article . 2025 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Energies
Article . 2025
Data sources: DOAJ
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Data-Based Modelling for Quantifying Carbon Dioxide Emissions Reduction Potential by Using Heat Pumps

Authors: Roshan Hehar; William Burges; Thomas Fender; Jonathan Radcliffe; Neha Mehta;

Data-Based Modelling for Quantifying Carbon Dioxide Emissions Reduction Potential by Using Heat Pumps

Abstract

Decarbonising heat is critical for achieving net zero goals. This study investigates the deployment of heat pumps for decarbonising domestic heating in the United Kingdom (UK), focusing on a local analysis in the West Midlands and North West regions. Through detailed data modelling, including weather patterns, housing characteristics, and carbon intensity data, the study quantifies the potential carbon dioxide (CO2) emissions reductions associated with air source heat pump adoption compared to conventional gas boilers. In this study, hourly temperature data for 2022 were examined for six local authorities: Birmingham, Warwick, Shropshire, Manchester, Oldham, and West Lancashire. Additionally, half-hourly carbon intensity data for 2022 were used for the two wider regions, the West Midlands and the North West of England. Results demonstrated that the North West region stands out with the highest percentage CO2 reductions due to the relatively low carbon intensity associated with the electricity grid, reaching up to 33% for an uptake of 40% of air source heat pumps. Moreover, regions with a high prevalence of detached housing, such as Shropshire and West Lancashire, show promise for emissions reductions and require continued monitoring and support for heat pump adoption. Despite limitations in modelling techniques and data sources, this study provides valuable insights for policymakers and strategic planners, guiding efforts to combat climate change and promote environmental sustainability in the UK.

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Keywords

Technology, climate change, domestic heating, T, decarbonisation, scenario analysis, local analysis

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold
Related to Research communities
Energy Research