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Peak loads, health, and energy equality: The effects of demand-side electricity efficiency interventions
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Abstract
Electrification is key for climate change mitigation but, if unmanaged, risks increasing energy poverty, inequalities, and peak electricity demand. While demand response to reduce peak electricity demand has been the subject of extensive research, the effects of energy efficiency interventions for wider health system and socioeconomic outcomes are less studied. This study assesses the impact of seven energy efficiency interventions on peak electricity demand in residential neighbourhoods in Aotearoa New Zealand, and compares these effects with wider system outcomes, including demonstrated direct health system costs. Using a validated agent-based model of energy use, electricity demand is simulated across socioeconomic and geographic conditions. Most energy efficiency interventions reduce peak electricity demand, with reductions of 0.08-1.64 kW/house (4-37%). Socioeconomic variations highlight the importance of targeting energy efficiency interventions to maximise whole-system outcomes. This study suggests increasing efficiency standards, accompanied by subsidies for low-income households, would enhance these benefits. However, average effects are skewed towards the highest-income neighbourhoods and do not represent the bottom 75% of neighbourhoods, meaning targeted subsidies would be preferable to avoid policy choices appearing biased towards wealthier segments, as well as being preferable in terms of economic efficiency and avoiding any increase in existing inequalities and energy poverty.
DOI
https://doi.org/10.31223/X5BT7F
Subjects
Engineering, Oil, Gas, and Energy, Sustainability
Keywords
Demand side management, Agent-based model, energy policy, just transition
Dates
Published: 2025-05-15 17:37
Last Updated: 2025-05-15 17:37
License
CC BY Attribution 4.0 International
Additional Metadata
Conflict of interest statement:
None
Data Availability (Reason not available):
Primary data supporting the conclusions of this article are presented in the paper. Additional data, such as code scripts, will be available from the corresponding author on request.
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