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Prosumer Empowerment Through Community Power Purchase Agreements:A Market Design for Swarm Grids

Author

Listed:
  • Dumitrescu, Raluca

    (MicroEnergy Systems Research Group, Technische Universität Berlin)

  • Lüth, Alexandra

    (Department of Economics, Copenhagen Business School)

  • Weibezahn, Jens

    (Department of Economics, Copenhagen Business School)

  • Groh, Sebastian

    (BRAC Business School (BBS), BRAC University)

Abstract

In this paper, we are proposing a policy innovation for both a more sustainable and a more inclusive electrification strategy, particularly for improved energy access in the Global South: combining the extension of national grids whilst taking advantage of existing decentralized renewable energy infrastructure allowing their collective feed-in to the national grid. We are introducing community power purchase agreements as a regulatory instrument for compensating and incentivizing the actors active at the intersection of the two infrastructures (prosumer, grid operator, state utility).We use both a mixed complementarity and a linear model for analyzing the concept in a case study of Pirgacha village, Bangladesh, in which a cluster of solar home system prosumers are interconnected into a renewable energy swarm grid. We determine the energy infrastructure cost components and their split among the actors. The results demonstrate a series of co-benefits: (a) the prosumer is monetarily rewarded for the utilization of her assets and for electricity trading with no additional infrastructure investment; (b) if the state utility takes over the investment costs with the interconnection infrastructure and outsources the integrated grid operations and maintenance to the private sector, the otherwise high grid expansion costs can be saved and repurposed in other infrastructure investments; (c) the operations of the decentralized renewable energy company are no longer threatened by the grid expansion and it can become an Integrated Grid Operator.

Suggested Citation

  • Dumitrescu, Raluca & Lüth, Alexandra & Weibezahn, Jens & Groh, Sebastian, 2022. "Prosumer Empowerment Through Community Power Purchase Agreements:A Market Design for Swarm Grids," Working Papers 19-2021, Copenhagen Business School, Department of Economics.
  • Handle: RePEc:hhs:cbsnow:2021_019
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    References listed on IDEAS

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    1. Mirzania, Pegah & Balta-Ozkan, Nazmiye & Ford, Andy, 2020. "An innovative viable model for community-owned solar PV projects without FIT: Comprehensive techno-economic assessment," Energy Policy, Elsevier, vol. 146(C).
    2. Kirchhoff, Hannes & Strunz, Kai, 2019. "Key drivers for successful development of peer-to-peer microgrids for swarm electrification," Applied Energy, Elsevier, vol. 244(C), pages 46-62.
    3. Mendicino, Luca & Menniti, Daniele & Pinnarelli, Anna & Sorrentino, Nicola, 2019. "Corporate power purchase agreement: Formulation of the related levelized cost of energy and its application to a real life case study," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    4. Pfenninger, Stefan & Staffell, Iain, 2016. "Long-term patterns of European PV output using 30 years of validated hourly reanalysis and satellite data," Energy, Elsevier, vol. 114(C), pages 1251-1265.
    5. Lüth, Alexandra & Zepter, Jan Martin & Crespo del Granado, Pedro & Egging, Ruud, 2018. "Local electricity market designs for peer-to-peer trading: The role of battery flexibility," Applied Energy, Elsevier, vol. 229(C), pages 1233-1243.
    6. Pachauri, S. & Mueller, A. & Kemmler, A. & Spreng, D., 2004. "On Measuring Energy Poverty in Indian Households," World Development, Elsevier, vol. 32(12), pages 2083-2104, December.
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    More about this item

    Keywords

    Decentralized renewable energy; Swarm grids; Grid integration; Power purchase agreements; Integrated grid operator;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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