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Demographics, energy and our homes

Author

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  • Roberts, Simon

Abstract

The projected growth in households in the UK is a key factor in future domestic energy consumption, particularly electricity consumption. While every household needs a home and its heating, lighting and appliances, increasing incomes have historically led to significantly higher appliance ownership, higher expectations of levels of energy service and greater usage. In the past this trend was combined with increasing household numbers to drive growth in domestic electricity demand. Official projections for population growth and household composition indicate significant drivers for future growth in energy demand. Curbing this will require policies to reverse the tendency for energy-efficiency improvements to be overwhelmed by growing numbers of households, more widespread appliance ownership and increased service expectations.

Suggested Citation

  • Roberts, Simon, 2008. "Demographics, energy and our homes," Energy Policy, Elsevier, vol. 36(12), pages 4630-4632, December.
    • Handle: RePEc:eee:enepol:v:36:y:2008:i:12:p:4630-4632
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    Citations

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    Cited by:

    1. Schaffrin, André & Reibling, Nadine, 2015. "Household energy and climate mitigation policies: Investigating energy practices in the housing sector," Energy Policy, Elsevier, vol. 77(C), pages 1-10.
    2. Ota, Toru & Kakinaka, Makoto & Kotani, Koji, 2018. "Demographic effects on residential electricity and city gas consumption in the aging society of Japan," Energy Policy, Elsevier, vol. 115(C), pages 503-513.
    3. Yohanis, Yigzaw Goshu, 2012. "Domestic energy use and householders' energy behaviour," Energy Policy, Elsevier, vol. 41(C), pages 654-665.
    4. Niu, Shuwen & Zhang, Xin & Zhao, Chunsheng & Ding, Yongxia & Niu, Yunzhu & Christensen, Thomas H., 2011. "Household energy use and emission reduction effects of energy conversion in Lanzhou city, China," Renewable Energy, Elsevier, vol. 36(5), pages 1431-1436.
    5. Ha-Hyun Jo & Minwoo Jang & Jaehyeok Kim, 2020. "How Population Age Distribution Affects Future Electricity Demand in Korea: Applying Population Polynomial Function," Energies, MDPI, vol. 13(20), pages 1-17, October.
    6. Elizabeth Hewitt & Yiyi Wang, 2020. "Understanding the Drivers of National-Level Energy Audit Behavior: Demographics and Socioeconomic Characteristics," Sustainability, MDPI, vol. 12(5), pages 1-14, March.
    7. Li, Francis G.N. & Bataille, Chris & Pye, Steve & O'Sullivan, Aidan, 2019. "Prospects for energy economy modelling with big data: Hype, eliminating blind spots, or revolutionising the state of the art?," Applied Energy, Elsevier, vol. 239(C), pages 991-1002.
    8. Wrapson, Wendy & Devine-Wright, Patrick, 2014. "‘Domesticating’ low carbon thermal technologies: Diversity, multiplicity and variability in older person, off grid households," Energy Policy, Elsevier, vol. 67(C), pages 807-817.
    9. Mohamed, Ahmed M.A. & Al-Habaibeh, Amin & Abdo, Hafez & Elabar, Sherifa, 2015. "Towards exporting renewable energy from MENA region to Europe: An investigation into domestic energy use and householders’ energy behaviour in Libya," Applied Energy, Elsevier, vol. 146(C), pages 247-262.
    10. Jaehyeok Kim & Minwoo Jang & Donghyun Shin, 2019. "Examining the Role of Population Age Structure upon Residential Electricity Demand: A Case from Korea," Sustainability, MDPI, vol. 11(14), pages 1-19, July.

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