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Grid tariff design and peak demand shaving: A comparative tariff analysis with simulated demand response

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  • Hofmann, Matthias
  • Bjarghov, Sigurd
  • Sæle, Hanne
  • Lindberg, Karen Byskov
Abstract
The electrification of the energy system requires significant grid expansion, raising the question of how to defer investments through efficient utilisation of the existing grid. Cost-reflective grid tariff designs that incentivise peak demand shaving are a possible solution. Hence, this paper compares the ability of five capacity-based and energy-based tariff designs to achieve peak demand shaving, and it provides policy recommendations on tariff choice, design options and demand response potential. The analysis is conducted on the basis of real electricity consumption data from 3608 customers in a Norwegian grid area with simulated demand response. A mathematical optimisation model that minimises customers' tariff costs calculates the response to the tariff's price signals. The results show that tariff performance depends on two design characteristics: whether the tariffs target individual or grid peaks and whether peak periods are determined ex-ante or ex-post. Further, we find that energy-based tariffs, such as time-of-use and critical peak pricing, achieve the highest peak demand reduction for load shaving, but may create new and possibly very high peaks if load shifting occurs.

Suggested Citation

  • Hofmann, Matthias & Bjarghov, Sigurd & Sæle, Hanne & Lindberg, Karen Byskov, 2025. "Grid tariff design and peak demand shaving: A comparative tariff analysis with simulated demand response," Energy Policy, Elsevier, vol. 198(C).
  • Handle: RePEc:eee:enepol:v:198:y:2025:i:c:s0301421524004956
    DOI: 10.1016/j.enpol.2024.114475
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    References listed on IDEAS

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    1. Khalilpour, Kaveh R. & Lusis, Peter, 2020. "Network capacity charge for sustainability and energy equity: A model-based analysis," Applied Energy, Elsevier, vol. 266(C).
    2. Abdelmotteleb, Ibtihal & Gómez, Tomás & Chaves Ávila, José Pablo & Reneses, Javier, 2018. "Designing efficient distribution network charges in the context of active customers," Applied Energy, Elsevier, vol. 210(C), pages 815-826.
    3. Hennig, Roman J. & Ribó-Pérez, David & de Vries, Laurens J. & Tindemans, Simon H., 2022. "What is a good distribution network tariff?—Developing indicators for performance assessment," Applied Energy, Elsevier, vol. 318(C).
    4. Stute, Judith & Klobasa, Marian, 2024. "How do dynamic electricity tariffs and different grid charge designs interact? - Implications for residential consumers and grid reinforcement requirements," Energy Policy, Elsevier, vol. 189(C).
    5. Darby, Sarah J. & McKenna, Eoghan, 2012. "Social implications of residential demand response in cool temperate climates," Energy Policy, Elsevier, vol. 49(C), pages 759-769.
    6. Brian C. Prest, 2020. "Peaking Interest: How Awareness Drives the Effectiveness of Time-of-Use Electricity Pricing," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 7(1), pages 103-143.
    7. Torriti, Jacopo, 2012. "Price-based demand side management: Assessing the impacts of time-of-use tariffs on residential electricity demand and peak shifting in Northern Italy," Energy, Elsevier, vol. 44(1), pages 576-583.
    8. Backe, Stian & Kara, Güray & Tomasgard, Asgeir, 2020. "Comparing individual and coordinated demand response with dynamic and static power grid tariffs," Energy, Elsevier, vol. 201(C).
    9. Bartusch, Cajsa & Wallin, Fredrik & Odlare, Monica & Vassileva, Iana & Wester, Lars, 2011. "Introducing a demand-based electricity distribution tariff in the residential sector: Demand response and customer perception," Energy Policy, Elsevier, vol. 39(9), pages 5008-5025, September.
    10. Lanot, Gauthier & Vesterberg, Mattias, 2021. "The price elasticity of electricity demand when marginal incentives are very large," Energy Economics, Elsevier, vol. 104(C).
    11. Ericson, Torgeir, 2009. "Direct load control of residential water heaters," Energy Policy, Elsevier, vol. 37(9), pages 3502-3512, September.
    12. El Gohary, Fouad & Stikvoort, Britt & Bartusch, Cajsa, 2023. "Evaluating demand charges as instruments for managing peak-demand," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    13. Bjarghov, Sigurd & Farahmand, Hossein & Doorman, Gerard, 2022. "Capacity subscription grid tariff efficiency and the impact of uncertainty on the subscribed level," Energy Policy, Elsevier, vol. 165(C).
    14. Osaru Agbonaye & Patrick Keatley & Ye Huang & Motasem Bani Mustafa & Neil Hewitt, 2020. "Design, Valuation and Comparison of Demand Response Strategies for Congestion Management," Energies, MDPI, vol. 13(22), pages 1-29, November.
    15. Nijhuis, M. & Gibescu, M. & Cobben, J.F.G., 2017. "Analysis of reflectivity & predictability of electricity network tariff structures for household consumers," Energy Policy, Elsevier, vol. 109(C), pages 631-641.
    16. Passey, Robert & Haghdadi, Navid & Bruce, Anna & MacGill, Iain, 2017. "Designing more cost reflective electricity network tariffs with demand charges," Energy Policy, Elsevier, vol. 109(C), pages 642-649.
    17. Young, Sharon & Bruce, Anna & MacGill, Iain, 2019. "Potential impacts of residential PV and battery storage on Australia's electricity networks under different tariffs," Energy Policy, Elsevier, vol. 128(C), pages 616-627.
    18. Schittekatte, Tim & Momber, Ilan & Meeus, Leonardo, 2018. "Future-proof tariff design: Recovering sunk grid costs in a world where consumers are pushing back," Energy Economics, Elsevier, vol. 70(C), pages 484-498.
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