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Feedback on electricity usage for home energy management: A social experiment in a local village of cold region

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  • Matsui, Kanae
  • Ochiai, Hideya
  • Yamagata, Yoshiki

Abstract

To mitigate global warming, it is essential for households to reduce CO2 emissions. Saving electricity is one solution for the reduction. To promote this reduction, saving electricity by households should be considered because household consumption is growing rapidly. In this paper, we developed a system for metering electricity consumption and providing it to households as feedback on electricity usage. Previous studies on how to promote household energy savings found that feedback in real-time on electricity usage could be effective. Our system provided two types of information through web pages, (1) nearly real-time electricity consumption information, and (2) action lists for how to save energy. To test the effectiveness of these types of information, the system was installed in four households in an extremely cold district in Hokkaido, Japan for 378 days. During 30days, data on electricity consumption was collected and stored. In the following month, a web page, which visualized nearly real-time electricity consumption, was opened to each household. After the experiment, an Internet-based questionnaire survey was conducted. The results obtained suggest that environmental awareness was an important aspect for inducing electricity saving behavior.

Suggested Citation

  • Matsui, Kanae & Ochiai, Hideya & Yamagata, Yoshiki, 2014. "Feedback on electricity usage for home energy management: A social experiment in a local village of cold region," Applied Energy, Elsevier, vol. 120(C), pages 159-168.
    • Handle: RePEc:eee:appene:v:120:y:2014:i:c:p:159-168
    DOI: 10.1016/j.apenergy.2014.01.049
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    Cited by:

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    4. Liu, Yinyan & Ma, Jin & Xing, Xinjie & Liu, Xinglu & Wang, Wei, 2022. "A home energy management system incorporating data-driven uncertainty-aware user preference," Applied Energy, Elsevier, vol. 326(C).
    5. Schall, Dominik L. & Mohnen, Alwine, 2017. "Incentivizing energy-efficient behavior at work: An empirical investigation using a natural field experiment on eco-driving," Applied Energy, Elsevier, vol. 185(P2), pages 1757-1768.
    6. Anderson, Kyle & Song, Kwonsik & Lee, SangHyun & Krupka, Erin & Lee, Hyunsoo & Park, Moonseo, 2017. "Longitudinal analysis of normative energy use feedback on dormitory occupants," Applied Energy, Elsevier, vol. 189(C), pages 623-639.
    7. Zhou, Kaile & Yang, Shanlin, 2016. "Understanding household energy consumption behavior: The contribution of energy big data analytics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 810-819.
    8. Guo, Zhifeng & Zhou, Kaile & Zhang, Chi & Lu, Xinhui & Chen, Wen & Yang, Shanlin, 2018. "Residential electricity consumption behavior: Influencing factors, related theories and intervention strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 399-412.
    9. Anderson, Kyle & Lee, SangHyun, 2016. "An empirically grounded model for simulating normative energy use feedback interventions," Applied Energy, Elsevier, vol. 173(C), pages 272-282.
    10. Xiao Han & Chu Wei, 2021. "Household energy consumption: state of the art, research gaps, and future prospects," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(8), pages 12479-12504, August.
    11. Fei Wang & Liming Liu & Yili Yu & Gang Li & Jessica Li & Miadreza Shafie-khah & João P. S. Catalão, 2018. "Impact Analysis of Customized Feedback Interventions on Residential Electricity Load Consumption Behavior for Demand Response," Energies, MDPI, vol. 11(4), pages 1-22, March.

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