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The European Market for Guarantees of Origin for Green Electricity: A Scenario-Based Evaluation of Trading under Uncertainty

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  • Alexander Wimmers

    (Workgroup for Infrastructure Policy (WIP), TU Berlin, Straße des 17. Juni, 10623 Berlin, Germany
    Energy, Transportation, Environment Department, German Institute for Economic Research (DIW Berlin), Mohrenstraße 58, 10117 Berlin, Germany
    Institute for Future Energy Consumer Needs and Behavior (FCN), School of Business and Economics/E.ON Energy Research Center, RWTH Aachen University, Mathieustaße 10, 52074 Aachen, Germany)

  • Reinhard Madlener

    (Institute for Future Energy Consumer Needs and Behavior (FCN), School of Business and Economics/E.ON Energy Research Center, RWTH Aachen University, Mathieustaße 10, 52074 Aachen, Germany
    Department of Industrial Economics and Technology Management, Norwegian University of Science and Technology (NTNU), Sentralbygg 1, 7491 Trondheim, Norway)

Abstract

Guarantees of Origin (GOs) were introduced in order to enhance transparency about the origin of green electricity produced in Europe, and to deliberately empower end-consumers to participate in the sustainable energy transition. The separation of electricity and the GO trade has resulted in a prosperous GO market that, however, has been characterized by non-transparency and opportunistic behavior. Historic price development has been opaque and can therefore not be used to forecast future GO prices. This paper, firstly, provides a thorough overview of the European GO market and an analysis of the historic price development; secondly, it proposes a model, the first of its kind, for determining future price developments of European GOs for different renewable energy technologies in different countries up to 2040. For household consumers, GO price determination is based on willingness-to-pay estimates from the literature, whereas for non-household consumers, the model introduces a novel approach to determine the willingness to pay for green electricity. Four different scenarios are considered (Status Quo, Sustainable Development , Full Harmonization , and Ideal Development ) and annual GO data are used. The findings indicate that GO prices can be expected to increase on average in the next years, with prices ranging from 1.77 to 3.36 EUR/MWh in 2040. Sensitivity analysis shows that ‘WTP percentages’ have the highest influence on GO prices. It can be concluded that future GO prices will remain challenging to predict, even with the support of sophisticated models, due to the expected supply and demand-driven market growth affecting the market equilibrium prices for different GOs in different countries.

Suggested Citation

  • Alexander Wimmers & Reinhard Madlener, 2023. "The European Market for Guarantees of Origin for Green Electricity: A Scenario-Based Evaluation of Trading under Uncertainty," Energies, MDPI, vol. 17(1), pages 1-35, December.
    • Handle: RePEc:gam:jeners:v:17:y:2023:i:1:p:104-:d:1306505
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    References listed on IDEAS

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    1. Fatras, Nicolas & Ma, Zheng & Duan, Hongbo & Jørgensen, Bo Nørregaard, 2022. "A systematic review of electricity market liberalisation and its alignment with industrial consumer participation: A comparison between the Nordics and China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    2. Ian H. Rowlands & Daniel Scott & Paul Parker, 2003. "Consumers and green electricity: profiling potential purchasers," Business Strategy and the Environment, Wiley Blackwell, vol. 12(1), pages 36-48, January.
    3. Sundt, Swantje & Rehdanz, Katrin, 2015. "Consumers' willingness to pay for green electricity: A meta-analysis of the literature," Energy Economics, Elsevier, vol. 51(C), pages 1-8.
    4. Yuri Yevdokimov & Viktor Getalo & Dhirendra Shukla & Tugcan Sahin, 2019. "Measuring willingness to pay for electricity: The case of New Brunswick in Atlantic Canada," Energy & Environment, , vol. 30(2), pages 292-303, March.
    5. Gianluca Grilli, 2017. "Renewable energy and willingness to pay: Evidences from a meta-analysis," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2017(1-2), pages 253-271.
    6. Goodspeed, Timothy J., 1989. "A re-examination of the use of ability to pay taxes by local governments," Journal of Public Economics, Elsevier, vol. 38(3), pages 319-342, April.
    7. Borchers, Allison M. & Duke, Joshua M. & Parsons, George R., 2007. "Does willingness to pay for green energy differ by source?," Energy Policy, Elsevier, vol. 35(6), pages 3327-3334, June.
    8. Mark A. Andor, Manuel Frondel, and Colin Vance, 2017. "Germanys Energiewende: A Tale of Increasing Costs and Decreasing Willingness-To-Pay," The Energy Journal, International Association for Energy Economics, vol. 0(KAPSARC S).
    9. Markus Klimscheffskij & Thierry Van Craenenbroeck & Marko Lehtovaara & Diane Lescot & Angela Tschernutter & Claudia Raimundo & Dominik Seebach & Christof Timpe, 2015. "Residual Mix Calculation at the Heart of Reliable Electricity Disclosure in Europe—A Case Study on the Effect of the RE-DISS Project," Energies, MDPI, vol. 8(6), pages 1-30, May.
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