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Households' response to changes in electricity pricing schemes: Bridging microeconomic and engineering principles

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  • Matar, Walid

Abstract

This paper presents a computational take on households' response to price changes. Many studies use assumptions (i.e., price elasticities) that were estimated using historical information; however, if a price change has not been experienced in the past, the response may not be statistically predicted. While other papers have explored price response behavior internally through microeconomic principles, many factors affect a household's electricity use, including the construction of the dwelling, outdoor air temperature, and efficiency of the air conditioner. We have superimposed a physical model, which determines hourly power loads, with a utility maximization component.

Suggested Citation

  • Matar, Walid, 2018. "Households' response to changes in electricity pricing schemes: Bridging microeconomic and engineering principles," Energy Economics, Elsevier, vol. 75(C), pages 300-308.
    • Handle: RePEc:eee:eneeco:v:75:y:2018:i:c:p:300-308
    DOI: 10.1016/j.eneco.2018.08.028
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    References listed on IDEAS

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    1. Matar, Walid & Anwer, Murad, 2017. "Jointly reforming the prices of industrial fuels and residential electricity in Saudi Arabia," Energy Policy, Elsevier, vol. 109(C), pages 747-756.
    2. Ghaith, Ahmad F. & Epplin, Francis M., 2017. "Consequences of a carbon tax on household electricity use and cost, carbon emissions, and economics of household solar and wind," Energy Economics, Elsevier, vol. 67(C), pages 159-168.
    3. Massimo Filippini, 1999. "Swiss residential demand for electricity," Applied Economics Letters, Taylor & Francis Journals, vol. 6(8), pages 533-538.
    4. Argenziano, Rossella & Gilboa, Itzhak, 2017. "Psychophysical foundations of the Cobb–Douglas utility function," Economics Letters, Elsevier, vol. 157(C), pages 21-23.
    5. Jones, Rory V. & Fuertes, Alba & Lomas, Kevin J., 2015. "The socio-economic, dwelling and appliance related factors affecting electricity consumption in domestic buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 901-917.
    6. Huebner, Gesche & Shipworth, David & Hamilton, Ian & Chalabi, Zaid & Oreszczyn, Tadj, 2016. "Understanding electricity consumption: A comparative contribution of building factors, socio-demographics, appliances, behaviours and attitudes," Applied Energy, Elsevier, vol. 177(C), pages 692-702.
    7. Youn, Hyungho & Jin, Hyun Joung, 2016. "The effects of progressive pricing on household electricity use," Journal of Policy Modeling, Elsevier, vol. 38(6), pages 1078-1088.
    8. Peter C. Reiss & Matthew W. White, 2005. "Household Electricity Demand, Revisited," Review of Economic Studies, Oxford University Press, vol. 72(3), pages 853-883.
    9. Atalla, Tarek N. & Hunt, Lester C., 2016. "Modelling residential electricity demand in the GCC countries," Energy Economics, Elsevier, vol. 59(C), pages 149-158.
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    Citations

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    Cited by:

    1. Javier Bueno & Desiderio Romero-Jordán & Pablo del Río, 2020. "Analysing the Drivers of Electricity Demand in Spain after the Economic Crisis," Energies, MDPI, Open Access Journal, vol. 13(20), pages 1-1, October.
    2. Jerzy Andruszkiewicz & Józef Lorenc & Agnieszka Weychan, 2019. "Demand Price Elasticity of Residential Electricity Consumers with Zonal Tariff Settlement Based on Their Load Profiles," Energies, MDPI, Open Access Journal, vol. 12(22), pages 1-1, November.
    3. Andruszkiewicz, Jerzy & Lorenc, Józef & Weychan, Agnieszka, 2020. "Seasonal variability of price elasticity of demand of households using zonal tariffs and its impact on hourly load of the power system," Energy, Elsevier, vol. 196(C).

    More about this item

    Keywords

    Demand response; Electricity use; Households; Physical factors; Electricity price;

    JEL classification:

    • B21 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Microeconomics
    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • C00 - Mathematical and Quantitative Methods - - General - - - General
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory

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