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Analysis of Residential Electricity Usage Characteristics and the Effects of Shifting Home Appliance Usage Time under a Time-of-Use Rate Plan

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  • Young Mo Chung

    (Department of Electronics and Information Engineering, Hansung University, Seoul 02876, Republic of Korea)

  • Beom Jin Chung

    (Research Center for Electrical and Information Technology, Seoul National University of Science & Technology, Seoul 01811, Republic of Korea)

  • Dong Sik Kim

    (Department of Electronics Engineering, Hankuk University of Foreign Studies, Yongin-si 17035, Republic of Korea)

Abstract

Carbon reduction programs are being introduced for carbon neutrality and energy transition to clean energy sources in various sectors, such as energy, buildings, transportation, and agriculture. In the residential electricity energy of the energy sector, the time-of-use (TOU) rate plan, which employs dynamic rates depending on energy usage times based on the advanced metering infrastructure (AMI), is being implemented for efficient electricity energy consumption. For broad expansion of the TOU rate plan, customers need information about its benefits, such as potential savings on electricity bills. In this paper, we first analyze the statistical characteristics of electricity energy usage using the metering data collected from 10 apartment complexes through AMI and develop a model to calculate the electricity bill savings. We next introduce examples of major home appliances, of which usage times can be shifted, and offer projected bill savings from the developed model. We analyze the examples from both the perspectives of households and apartment complexes. The information from this analysis is helpful in practically investigating customers’ willingness to shift the usage time for a successful implementation of the demand response program.

Suggested Citation

  • Young Mo Chung & Beom Jin Chung & Dong Sik Kim, 2023. "Analysis of Residential Electricity Usage Characteristics and the Effects of Shifting Home Appliance Usage Time under a Time-of-Use Rate Plan," Energies, MDPI, vol. 16(18), pages 1-23, September.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:18:p:6602-:d:1239273
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    References listed on IDEAS

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    1. Alberini, Anna & Filippini, Massimo, 2011. "Response of residential electricity demand to price: The effect of measurement error," Energy Economics, Elsevier, vol. 33(5), pages 889-895, September.
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    5. Yilmaz, S. & Weber, S. & Patel, M.K., 2019. "Who is sensitive to DSM? Understanding the determinants of the shape of electricity load curves and demand shifting: Socio-demographic characteristics, appliance use and attitudes," Energy Policy, Elsevier, vol. 133(C).
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    Cited by:

    1. Young Mo Chung & Beom Jin Chung & Dong Sik Kim, 2024. "Electricity Bill Savings from Reduced Household Energy Consumption in Apartment Complexes," Energies, MDPI, vol. 17(21), pages 1-19, November.

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