Projects per year
Abstract
The decarbonisation of the built environment is a critical strategy for addressing climate change and decarbonisation of heat plays a significant role in this process. However, the UK’s progress in electrifying heating with heat pumps is significantly behind that of other European countries such as Finland and Norway. This study used clustering analysis to investigate UK consumers’ energy consumption patterns and their correlation with socioeconomic characteristics to identify suitable households for heat pumps. The study optimised K-means outlier removal (K-MOR) using genetic algorithms (GA) to reveal five typical energy consumption patterns consistent with a classification of residential neighbourhoods (ACORN) socioeconomic segments. The findings of our study indicate that the highest energy consumption pattern requires about 3 times the heating demand of the lowest pattern. Notably, 50.9% of households exhibit a middle-high load pattern, among which affluent households demonstrate higher heat pump adoption potential, while 14.44% of lower-income households face greater barriers to heat decarbonisation.
Original language | English |
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Journal | Energy Proceedings |
Volume | 55 |
DOIs | |
Publication status | Published - 30 Sept 2024 |
Event | 16th International Conference on Applied Energy - Niigata, Japan Duration: 1 Sept 2024 → 5 Sept 2024 https://applied-energy.org/icae2024/ |
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Digitally-Enabled Flexibility Assessment of Multi-Energy Systems Toward Net-Zero Transition
Hua, W. (Principal Investigator)
Engineering & Physical Science Research Council
1/05/24 → 31/10/25
Project: Research Councils
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Assembling Digital Solutions for Inclusive and Net-Zero Transition of Community Energy Systems (ADvaNCE)
Hua, W. (Principal Investigator)
31/03/24 → 30/09/24
Project: Research Councils