IDEAS home Printed from https://ideas.repec.org/a/sae/enejou/v12y1991i2p67-92.html
   My bibliography  Save this article

The "Most Value" Test: Economic Evaluation of Electricity Demand-Side Management Considering Customer Value

Author

Listed:
  • Benjamin F. Hobbs

Abstract

What measure of economic efficiency is appropriate for evaluating demand-side management (DSM) programs sponsored by electric utilities? Most regulatory commissions in the United States require that utilities assess the efficiency of alternative programs as part of their planning process. A criterion based upon maximization of consumer surplus is proposed. This, the “most value†test, not only counts the avoided supply cost and environmental benefits of such programs, but also the changes in customer value that result from rebound/takeback and changes in electric rates. The test can be viewed as an extension of the “least cost†test, which many commissions now require utilities to use. Among the “most value†test’s practical implications is the fact that the net benefits of DSM will often be decreased if free riders are present or if electric rates must increase to fund the program. The “least cost†test wrongly assumes these effects to be merely matters of income transfer. Consequently, some programs that are desirable from a “least cost†standpoint will not be beneficial from a “most value†point of view. However, if rebound effects are large enough, the opposite can happen: some DSM programs which are apparently too costly will actually have positive net benefits. These conclusions apply not only to programs for conserving electricity, but also to water and natural gas conservation efforts and programs that promote energy use.

Suggested Citation

  • Benjamin F. Hobbs, 1991. "The "Most Value" Test: Economic Evaluation of Electricity Demand-Side Management Considering Customer Value," The Energy Journal, , vol. 12(2), pages 67-92, April.
  • Handle: RePEc:sae:enejou:v:12:y:1991:i:2:p:67-92
    DOI: 10.5547/ISSN0195-6574-EJ-Vol12-No2-5
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.5547/ISSN0195-6574-EJ-Vol12-No2-5
    Download Restriction: no

    File URL: https://libkey.io/10.5547/ISSN0195-6574-EJ-Vol12-No2-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Michael Parti & Cynthia Parti, 1980. "The Total and Appliance-Specific Conditional Demand for Electricity in the Household Sector," Bell Journal of Economics, The RAND Corporation, vol. 11(1), pages 309-321, Spring.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Runa Nesbakken, 1998. "Residential Energy Consumption for Space Heating in Norwegian Households A Discrete-Continuous Choice Approach," Discussion Papers 231, Statistics Norway, Research Department.
    2. Al-Ghandoor, A. & Jaber, J.O. & Al-Hinti, I. & Mansour, I.M., 2009. "Residential past and future energy consumption: Potential savings and environmental impact," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1262-1274, August.
    3. Dorothée Charlier & Sondès Kahouli, 2019. "From Residential Energy Demand to Fuel Poverty: Income-induced Non-linearities in the Reactions of Households to Energy Price Fluctuations," The Energy Journal, , vol. 40(2), pages 101-138, March.
    4. Mattias Vesterberg and Chandra Kiran B. Krishnamurthy, 2016. "Residential End-use Electricity Demand: Implications for Real Time Pricing in Sweden," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    5. Aydinalp, Merih & Ismet Ugursal, V. & Fung, Alan S., 2002. "Modeling of the appliance, lighting, and space-cooling energy consumptions in the residential sector using neural networks," Applied Energy, Elsevier, vol. 71(2), pages 87-110, February.
    6. Gholami, M. & Barbaresi, A. & Torreggiani, D. & Tassinari, P., 2020. "Upscaling of spatial energy planning, phases, methods, and techniques: A systematic review through meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    7. Newell, Richard G. & Pizer, William A., 2008. "Carbon mitigation costs for the commercial building sector: Discrete-continuous choice analysis of multifuel energy demand," Resource and Energy Economics, Elsevier, vol. 30(4), pages 527-539, December.
    8. Hannah Goozee, 2017. "Energy, poverty and development: a primer for the Sustainable Development Goals," Working Papers 156, International Policy Centre for Inclusive Growth.
    9. Anna Risch & Claire Salmon, 2017. "What matters in residential energy consumption: evidence from France," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 40(1/2), pages 79-116.
    10. Christopher Garbacz, 1984. "Residential Electricity Demand: A Suggested Appliance Stock Equation," The Energy Journal, , vol. 5(2), pages 151-154, April.
    11. Hache, Emmanuel & Leboullenger, Déborah & Mignon, Valérie, 2017. "Beyond average energy consumption in the French residential housing market: A household classification approach," Energy Policy, Elsevier, vol. 107(C), pages 82-95.
    12. Salomé Bakaloglou and Dorothée Charlier, 2019. "Energy Consumption in the French Residential Sector: How Much do Individual Preferences Matter?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    13. Shigeru Matsumoto, 2015. "Electric Appliance Ownership and Usage: Application of Conditional Demand Analysis to Japanese Household Data," Working Papers e098, Tokyo Center for Economic Research.
    14. Soo-Jin Lee & You-Jeong Kim & Hye-Sun Jin & Sung-Im Kim & Soo-Yeon Ha & Seung-Yeong Song, 2019. "Residential End-Use Energy Estimation Models in Korean Apartment Units through Multiple Regression Analysis," Energies, MDPI, vol. 12(12), pages 1-18, June.
    15. Ciulla, G. & D'Amico, A., 2019. "Building energy performance forecasting: A multiple linear regression approach," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    16. Yueming Qiu, 2014. "Energy Efficiency and Rebound Effects: An Econometric Analysis of Energy Demand in the Commercial Building Sector," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(2), pages 295-335, October.
    17. Inoue, Nozomu & Matsumoto, Shigeru, 2019. "An examination of losses in energy savings after the Japanese Top Runner Program?," Energy Policy, Elsevier, vol. 124(C), pages 312-319.
    18. Richard Boampong, 2020. "Evaluating the Energy-Saving Effects of a Utility Demand-Side Management Program: A Difference-in-Difference Coarsened Exact Matching Approach," The Energy Journal, , vol. 41(4), pages 185-208, July.
    19. Zhu, Mengshu & Huang, Ying & Wang, Si-Nuo & Zheng, Xinye & Wei, Chu, 2023. "Characteristics and patterns of residential energy consumption for space cooling in China: Evidence from appliance-level data," Energy, Elsevier, vol. 265(C).
    20. Aurora Greta Ruggeri & Laura Gabrielli & Massimiliano Scarpa, 2020. "Energy Retrofit in European Building Portfolios: A Review of Five Key Aspects," Sustainability, MDPI, vol. 12(18), pages 1-38, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:enejou:v:12:y:1991:i:2:p:67-92. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.