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Regulatory Options for Local Reserve Energy Markets: Implications for Prosumers, Utilities, and other Stakeholders

Author

Listed:
  • Rosen, Christiane

    (E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN))

  • Madlener, Reinhard

    (E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN))

Abstract

While the share of fluctuating renewable energy resources is constantly increasing, the centralized, hierarchical organization of the current energy system cannot adequately accommodate such decentralized electricity generation. New ideas have been developed for improved integration, especially in the lead market Germany. One of these concepts is the microgrid, a grid within the grid. This paper presents a local reserve energy market, which can facilitate the operation and allow trading within the microgrid. Emphasis is put on the regulatory options and current market framework, mainly from a European and German perspective, which serve as a basis for implementing the local market.

Suggested Citation

  • Rosen, Christiane & Madlener, Reinhard, 2014. "Regulatory Options for Local Reserve Energy Markets: Implications for Prosumers, Utilities, and other Stakeholders," FCN Working Papers 12/2014, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    • Handle: RePEc:ris:fcnwpa:2014_012
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    References listed on IDEAS

    as
    1. Rosen, Christiane & Madlener, Reinhard, 2013. "The Role of Information Feedback in Local Reserve Energy Auction Markets," FCN Working Papers 15/2013, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
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    3. Rosen, Christiane & Madlener, Reinhard, 2012. "Auction Design for Local Reserve Energy Markets," FCN Working Papers 7/2012, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised Mar 2013.
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    6. Christian A. Oberst & Reinhard Madlener, 2015. "Prosumer Preferences Regarding the Adoption of Micro†Generation Technologies: Empirical Evidence for German Homeowners," Working Papers 2015.07, International Network for Economic Research - INFER.
    7. Oberst, Christian & Madlener, Reinhard, 2015. "Prosumer Preferences Regarding the Adoption of Micro‐Generation Technologies: Empirical Evidence for German Homeowners," FCN Working Papers 22/2014, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    8. Sauter, Raphael & Watson, Jim, 2007. "Strategies for the deployment of micro-generation: Implications for social acceptance," Energy Policy, Elsevier, vol. 35(5), pages 2770-2779, May.
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    10. Kagel, John H & Levin, Dan, 1993. "Independent Private Value Auctions: Bidder Behaviour in First-, Second- and Third-Price Auctions with Varying Numbers of Bidders," Economic Journal, Royal Economic Society, vol. 103(419), pages 868-879, July.
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    Cited by:

    1. Francesco Gulotta & Edoardo Daccò & Alessandro Bosisio & Davide Falabretti, 2023. "Opening of Ancillary Service Markets to Distributed Energy Resources: A Review," Energies, MDPI, vol. 16(6), pages 1-25, March.
    2. Ziras, Charalampos & Heinrich, Carsten & Pertl, Michael & Bindner, Henrik W., 2019. "Experimental flexibility identification of aggregated residential thermal loads using behind-the-meter data," Applied Energy, Elsevier, vol. 242(C), pages 1407-1421.
    3. Markus Flaute & Anett Gro mann & Christian Lutz & Anne Nieters, 2017. "Macroeconomic Effects of Prosumer Households in Germany," International Journal of Energy Economics and Policy, Econjournals, vol. 7(1), pages 146-155.
    4. Pere Mir-Artigues & Pablo del Río, 2021. "Prosumers’ Behavior under a Regulation That Encourages Strict Self-Sufficiency. The Case of Spanish Photovoltaic Micro-Generation," Energies, MDPI, vol. 14(4), pages 1-19, February.
    5. Ottesen, Stig Ødegaard & Tomasgard, Asgeir & Fleten, Stein-Erik, 2018. "Multi market bidding strategies for demand side flexibility aggregators in electricity markets," Energy, Elsevier, vol. 149(C), pages 120-134.
    6. Karami, Mahdi & Madlener, Reinhard, 2022. "Business models for peer-to-peer energy trading in Germany based on households’ beliefs and preferences," Applied Energy, Elsevier, vol. 306(PB).
    7. Kristóf, Tamás & Márton, András & Fiáth, Attila, 2023. "Állami energiavállalatok pénzügyi teljesítménye Magyarországon a koronavírus-járvány előtt és alatt [Financial performance of publicly owned energy companies in Hungary before and during the COVID ," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(10), pages 1057-1076.
    8. Zhao, Xiaoli & Sun, Chuyu & Zhong, Zewei & Liu, Suwei & Yang, Zili, 2023. "Effect of market structure on renewable energy Development—A simulation study of a regional electricity market in China," Renewable Energy, Elsevier, vol. 215(C).
    9. Gacitua, L. & Gallegos, P. & Henriquez-Auba, R. & Lorca, Á. & Negrete-Pincetic, M. & Olivares, D. & Valenzuela, A. & Wenzel, G., 2018. "A comprehensive review on expansion planning: Models and tools for energy policy analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 346-360.
    10. Chen, Ting & Vandendriessche, Frederik, 2023. "Evolution of the EU legal framework for promoting RES-E: A market compatible paradigm shift?," Utilities Policy, Elsevier, vol. 83(C).
    11. Simone Minniti & Niyam Haque & Phuong Nguyen & Guus Pemen, 2018. "Local Markets for Flexibility Trading: Key Stages and Enablers," Energies, MDPI, vol. 11(11), pages 1-21, November.
    12. Csereklyei, Zsuzsanna & Kallies, Anne, 2022. "A legal-economic framework of electricity markets: Assessing Australia’s transition," MPRA Paper 114191, University Library of Munich, Germany.
    13. Ecker, Franz & Spada, Hans & Hahnel, Ulf J.J., 2018. "Independence without control: Autarky outperforms autonomy benefits in the adoption of private energy storage systems," Energy Policy, Elsevier, vol. 122(C), pages 214-228.

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    More about this item

    Keywords

    local reserve energy market; balance group; prosumer;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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