IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v75y2014icp244-254.html
   My bibliography  Save this article

The economic effect of electricity net-metering with solar PV: Consequences for network cost recovery, cross subsidies and policy objectives

Author

Listed:
  • Eid, Cherrelle
  • Reneses Guillén, Javier
  • Frías Marín, Pablo
  • Hakvoort, Rudi

Abstract

Net-metering is commonly known as a practice by which owners of distributed generation (DG) units may offset their electricity consumption from the grid with local generation. The increasing number of prosumers (consumers that both produce and consume electricity) with solar photovoltaic (PV) generation combined with net-metering results in reduced incomes for many network utilities worldwide. Consequently, this pushes utilities to increase charges per kWh in order to recover costs. For non-PV owners, this could result into inequality issues due to the fact that also non-PV owners have to pay higher chargers for their electricity consumed to make up for netted costs of PV-owners. In order to provide insight in those inequality issues caused by net-metering, this study presents the effects on cross-subsidies, cost recovery and policy objectives evolving from different applied netmetering and tariff designs for a residential consumer. Eventually this paper provides recommendations regarding tariffs and metering that will result in more explicit incentives for PV, instead of the current implicit incentives which are present to PV owners due to net-metering.

Suggested Citation

  • Eid, Cherrelle & Reneses Guillén, Javier & Frías Marín, Pablo & Hakvoort, Rudi, 2014. "The economic effect of electricity net-metering with solar PV: Consequences for network cost recovery, cross subsidies and policy objectives," Energy Policy, Elsevier, vol. 75(C), pages 244-254.
  • Handle: RePEc:eee:enepol:v:75:y:2014:i:c:p:244-254
    DOI: 10.1016/j.enpol.2014.09.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421514005023
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.enpol.2014.09.011?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Cossent, Rafael & Gómez, Tomás & Frías, Pablo, 2009. "Towards a future with large penetration of distributed generation: Is the current regulation of electricity distribution ready? Regulatory recommendations under a European perspective," Energy Policy, Elsevier, vol. 37(3), pages 1145-1155, March.
    2. Alanne, Kari & Saari, Arto, 2006. "Distributed energy generation and sustainable development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(6), pages 539-558, December.
    3. Hughes, Larry & Bell, Jeff, 2006. "Compensating customer-generators: a taxonomy describing methods of compensating customer-generators for electricity supplied to the grid," Energy Policy, Elsevier, vol. 34(13), pages 1532-1539, September.
    4. Darghouth, Naïm R. & Barbose, Galen & Wiser, Ryan, 2011. "The impact of rate design and net metering on the bill savings from distributed PV for residential customers in California," Energy Policy, Elsevier, vol. 39(9), pages 5243-5253, September.
    5. Berg,Sanford V. & Tschirhart,John, 1989. "Natural Monopoly Regulation," Cambridge Books, Cambridge University Press, number 9780521338936.
    6. Rodri­guez Ortega, Mari­a Pi­a & Pérez-Arriaga, J. Ignacio & Abbad, Juan Rivier & González, Jesús Peco, 2008. "Distribution network tariffs: A closed question?," Energy Policy, Elsevier, vol. 36(5), pages 1712-1725, May.
    7. De Castro, Luciano & Dutra, Joisa, 2013. "Paying for the smart grid," Energy Economics, Elsevier, vol. 40(S1), pages 74-84.
    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. Ahmed S. Alahmed & Lang Tong, 2022. "Integrating Distributed Energy Resources: Optimal Prosumer Decisions and Impacts of Net Metering Tariffs," Papers 2204.06115, arXiv.org, revised May 2022.
    2. Castaneda, Monica & Jimenez, Maritza & Zapata, Sebastian & Franco, Carlos J. & Dyner, Isaac, 2017. "Myths and facts of the utility death spiral," Energy Policy, Elsevier, vol. 110(C), pages 105-116.
    3. Cambini, Carlo & Soroush, Golnoush, 2019. "Designing grid tariffs in the presence of distributed generation," Utilities Policy, Elsevier, vol. 61(C).
    4. Dupont, B. & De Jonghe, C. & Olmos, L. & Belmans, R., 2014. "Demand response with locational dynamic pricing to support the integration of renewables," Energy Policy, Elsevier, vol. 67(C), pages 344-354.
    5. L. (Lisa B.) Ryan & Sarah La Monaca & Linda Mastrandrea & Petr Spodniak, 2018. "Harnessing Electricity Retail Tariffs to Support Climate Change Policy," Working Papers 201822, School of Economics, University College Dublin.
    6. Morell-Dameto, Nicolás & Chaves-Ávila, José Pablo & Gómez San Román, Tomás & Schittekatte, Tim, 2023. "Forward-looking dynamic network charges for real-world electricity systems: A Slovenian case study," Energy Economics, Elsevier, vol. 125(C).
    7. Saumweber, Andrea & Wederhake, Lars & Cardoso, Gonçalo & Fridgen, Gilbert & Heleno, Miguel, 2021. "Designing Pareto optimal electricity retail rates when utility customers are prosumers," Energy Policy, Elsevier, vol. 156(C).
    8. Vaughan, Jim & Doumen, Sjoerd C. & Kok, Koen, 2023. "Empowering tomorrow, controlling today: A multi-criteria assessment of distribution grid tariff designs," Applied Energy, Elsevier, vol. 341(C).
    9. Rutovitz, Jay & Oliva H., Sebastian & McIntosh, Lawrence & Langham, Ed & Teske, Sven & Atherton, Alison & Kelly, Scott, 2018. "Local network credits and local electricity trading: Results of virtual trials and the policy implications," Energy Policy, Elsevier, vol. 120(C), pages 324-334.
    10. Junhyung Kim & Keon Baek & Eunjung Lee & Jinho Kim, 2023. "Analysis of Net-Metering and Cross-Subsidy Effects in South Korea: Economic Impact across Residential Customer Groups by Electricity Consumption Level," Energies, MDPI, vol. 16(2), pages 1-14, January.
    11. Oliva H., Sebastian, 2017. "Residential energy efficiency and distributed generation - Natural partners or competition?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 932-940.
    12. Mir-Artigues, Pere, 2013. "The Spanish regulation of the photovoltaic demand-side generation," Energy Policy, Elsevier, vol. 63(C), pages 664-673.
    13. Dufo-López, Rodolfo & Bernal-Agustín, José L., 2015. "A comparative assessment of net metering and net billing policies. Study cases for Spain," Energy, Elsevier, vol. 84(C), pages 684-694.
    14. Theo, Wai Lip & Lim, Jeng Shiun & Ho, Wai Shin & Hashim, Haslenda & Lee, Chew Tin, 2017. "Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 531-573.
    15. Johnson, Erik & Beppler, Ross & Blackburn, Chris & Staver, Benjamin & Brown, Marilyn & Matisoff, Daniel, 2017. "Peak shifting and cross-class subsidization: The impacts of solar PV on changes in electricity costs," Energy Policy, Elsevier, vol. 106(C), pages 436-444.
    16. Chaianong, Aksornchan & Tongsopit, Sopitsuda & Bangviwat, Athikom & Menke, Christoph, 2019. "Bill saving analysis of rooftop PV customers and policy implications for Thailand," Renewable Energy, Elsevier, vol. 131(C), pages 422-434.
    17. Qudrat-Ullah, Hassan & Kayal, Aymen & Mugumya, Andrew, 2021. "Cost-effective energy billing mechanisms for small and medium-scale industrial customers in Uganda," Energy, Elsevier, vol. 227(C).
    18. Marcelino, C.G. & Leite, G.M.C. & Wanner, E.F. & Jiménez-Fernández, S. & Salcedo-Sanz, S., 2023. "Evaluating the use of a Net-Metering mechanism in microgrids to reduce power generation costs with a swarm-intelligent algorithm," Energy, Elsevier, vol. 266(C).
    19. Wolsink, Maarten, 2020. "Distributed energy systems as common goods: Socio-political acceptance of renewables in intelligent microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
    20. Pere Mir-Artigues, 2013. "The Photovoltaic Crisis and the Demand-side Generation in Spain," Cambridge Working Papers in Economics 1311, Faculty of Economics, University of Cambridge.

    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:eee:enepol:v:75:y:2014:i:c:p:244-254. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    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.