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Local Energy Markets in Action: Smart Integration of National Markets, Distributed Energy Resources and Incentivisation to Promote Citizen Participation

Author

Listed:
  • Peter Klement

    (German Aerospace Center (DLR), Institute of Networked Energy Systems, Carl-von-Ossietzky-Str. 15, 26129 Oldenburg, Germany)

  • Tobias Brandt

    (OFFIS—Institute for Information Technology, Escherweg 2, 26121 Oldenburg, Germany)

  • Lucas Schmeling

    (German Aerospace Center (DLR), Institute of Networked Energy Systems, Carl-von-Ossietzky-Str. 15, 26129 Oldenburg, Germany
    KEHAG Energiehandel GmbH, Im Technologiepark 4, 26129 Oldenburg, Germany)

  • Antonieta Alcorta de Bronstein

    (Department of Business and Ethics, Faculty I Education and Social Sciences, University of Vechta, Driverstr. 22, 49377 Vechta, Germany)

  • Steffen Wehkamp

    (OFFIS—Institute for Information Technology, Escherweg 2, 26121 Oldenburg, Germany)

  • Fernando Andres Penaherrera Vaca

    (OFFIS—Institute for Information Technology, Escherweg 2, 26121 Oldenburg, Germany)

  • Mathias Lanezki

    (OFFIS—Institute for Information Technology, Escherweg 2, 26121 Oldenburg, Germany)

  • Patrik Schönfeldt

    (German Aerospace Center (DLR), Institute of Networked Energy Systems, Carl-von-Ossietzky-Str. 15, 26129 Oldenburg, Germany)

  • Alexander Hill

    (OFFIS—Institute for Information Technology, Escherweg 2, 26121 Oldenburg, Germany)

  • Nemanja Katic

    (KEHAG Energiehandel GmbH, Im Technologiepark 4, 26129 Oldenburg, Germany
    Current address: Energiebüro Erfurth, Am Born 3, 31171 Nordstemmen, Germany.)

Abstract

Since the Paris Agreement in 2016, the goals of limiting climate change and moving toward climate resilience stand. With a share of about 80% of global CO 2 emissions, the energy sector is an essential driver for these goals. A shift to low-carbon energy production and a decentralized system for more efficient energy transmission distribution is necessary. In this paper, we present our work on Modelling of Power Exchanges, Algorithms for Local Energy Market (LEM), Competitiveness of Combined Heat and Power Plant (CHP) and Energy Feedback Devices. The study was conducted considering technical, economic, social and regulatory framework. For easy integration into energy simulations or a district energy management system (DEMS), a model for power exchanges was created that allows flexible input or deterministic price patterns. The algorithm handles the clearing of an LEM by a district aggregator using limit orders with the goal of increasing the share of locally consumed electricity using economic incentives. An investigation was conducted into the operation of flexible CHPs in low-carbon power systems to balance the volatility of renewable energy. An Energy Signal Light (ESL) was developed as an energy feedback device, which is integrated into the DEMS in a living lab and allows individual configuration. In summary, the results presented should be compared with those of other research approaches in the future and require qualitative and quantitative evaluation.

Suggested Citation

  • Peter Klement & Tobias Brandt & Lucas Schmeling & Antonieta Alcorta de Bronstein & Steffen Wehkamp & Fernando Andres Penaherrera Vaca & Mathias Lanezki & Patrik Schönfeldt & Alexander Hill & Nemanja K, 2022. "Local Energy Markets in Action: Smart Integration of National Markets, Distributed Energy Resources and Incentivisation to Promote Citizen Participation," Energies, MDPI, vol. 15(8), pages 1-24, April.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:8:p:2749-:d:789974
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    References listed on IDEAS

    as
    1. Gilboa, Itzhak & Rouziou, Maria & Sibony, Olivier, 2018. "Decision theory made relevant: Between the software and the shrink," Research in Economics, Elsevier, vol. 72(2), pages 240-250.
    2. Tobias Brandt & Lucas Schmeling & Antonieta Alcorta deBronstein & Ernst Schäfer & Alexandra Unger, 2021. "Smart Energy Sharing in a German Living Lab," CSR, Sustainability, Ethics & Governance, in: Jantje Halberstadt & Jorge Marx Gómez & Jean Greyling & Tulimevava Kaunapawa Mufeti & Helmut Faasch (ed.), Resilience, Entrepreneurship and ICT, pages 221-262, Springer.
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    Cited by:

    1. Eid Gul & Giorgio Baldinelli & Pietro Bartocci, 2022. "Energy Transition: Renewable Energy-Based Combined Heat and Power Optimization Model for Distributed Communities," Energies, MDPI, vol. 15(18), pages 1-18, September.
    2. Schmeling, Lucas & Schönfeldt, Patrik & Klement, Peter & Vorspel, Lena & Hanke, Benedikt & von Maydell, Karsten & Agert, Carsten, 2022. "A generalised optimal design methodology for distributed energy systems," Renewable Energy, Elsevier, vol. 200(C), pages 1223-1239.

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