IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v373y2024ics0306261924012315.html
   My bibliography  Save this article

OPLEM: Open Platform for Local Energy Markets

Author

Listed:
  • Essayeh, Chaimaa
  • Morstyn, Thomas

Abstract

Local Energy Markets (LEMs) have been proposed as an effective solution to coordinate distributed energy resources within emerging smart local energy systems. However, LEMs are still at an early stage of development and are not widely implemented yet. Extensible open-source software tools are needed to simulate different market designs and evaluate their feasibility and effectiveness. This paper presents OPLEM, an open-source Python package for modelling and testing LEM designs. It offers a modular and flexible framework to create and test market designs adapted for distribution networks. OPLEM integrates two distinct models—one for designing and simulating local energy markets, and another for network operation. Unlike existing tools, OPLEM platform offers a comprehensive solution that bridges the gap between market design and network operation assessment, enabling stakeholders to gain deeper insights into the interactions between market dynamics and grid performance. Additionally, the inclusion of participant and asset models further enhances the tool’s versatility, allowing for a holistic analysis. Thanks to its modular structure, OPLEM allows the development of customised LEM designs and initially incorporates four popular LEM designs: Time-of-Use pricing market, centralised dispatch with distribution locational marginal pricing, bilateral peer-to-peer market and auction market. By combining market design and network modelling functionalities, the tool empowers users to explore various scenarios and optimise market clearings to enhance both economic efficiency and grid reliability.

Suggested Citation

  • Essayeh, Chaimaa & Morstyn, Thomas, 2024. "OPLEM: Open Platform for Local Energy Markets," Applied Energy, Elsevier, vol. 373(C).
  • Handle: RePEc:eee:appene:v:373:y:2024:i:c:s0306261924012315
    DOI: 10.1016/j.apenergy.2024.123848
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261924012315
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2024.123848?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gao, Yuan & Matsunami, Yuki & Miyata, Shohei & Akashi, Yasunori, 2022. "Multi-agent reinforcement learning dealing with hybrid action spaces: A case study for off-grid oriented renewable building energy system," Applied Energy, Elsevier, vol. 326(C).
    2. Morstyn, Thomas & Collett, Katherine A. & Vijay, Avinash & Deakin, Matthew & Wheeler, Scot & Bhagavathy, Sivapriya M. & Fele, Filiberto & McCulloch, Malcolm D., 2020. "OPEN: An open-source platform for developing smart local energy system applications," Applied Energy, Elsevier, vol. 275(C).
    3. Savelli, Iacopo & Morstyn, Thomas, 2021. "Electricity prices and tariffs to keep everyone happy: A framework for fixed and nodal prices coexistence in distribution grids with optimal tariffs for investment cost recovery," Omega, Elsevier, vol. 103(C).
    4. David P. Chassin & Jason C. Fuller & Ned Djilali, 2014. "GridLAB-D: An Agent-Based Simulation Framework for Smart Grids," Journal of Applied Mathematics, Hindawi, vol. 2014, pages 1-12, June.
    5. Soto, Esteban A. & Bosman, Lisa B. & Wollega, Ebisa & Leon-Salas, Walter D., 2021. "Peer-to-peer energy trading: A review of the literature," Applied Energy, Elsevier, vol. 283(C).
    6. Jan Abrell & Friedrich Kunz, 2015. "Integrating Intermittent Renewable Wind Generation - A Stochastic Multi-Market Electricity Model for the European Electricity Market," Networks and Spatial Economics, Springer, vol. 15(1), pages 117-147, March.
    7. Anthony Papavasiliou, 2018. "Analysis of distribution locational marginal prices," LIDAM Reprints CORE 3045, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    8. Fragkos, Panagiotis & Tasios, Nikos & Paroussos, Leonidas & Capros, Pantelis & Tsani, Stella, 2017. "Energy system impacts and policy implications of the European Intended Nationally Determined Contribution and low-carbon pathway to 2050," Energy Policy, Elsevier, vol. 100(C), pages 216-226.
    9. Pierre Pinson, 2023. "What may future electricity markets look like?," Papers 2302.02833, arXiv.org, revised Feb 2023.
    10. Ringkjøb, Hans-Kristian & Haugan, Peter M. & Solbrekke, Ida Marie, 2018. "A review of modelling tools for energy and electricity systems with large shares of variable renewables," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 440-459.
    11. Iacopo Savelli & Thomas Morstyn, 2020. "Electricity prices and tariffs to keep everyone happy: a framework for fixed and nodal prices coexistence in distribution grids with optimal tariffs for investment cost recovery," Papers 2001.04283, arXiv.org, revised Jun 2021.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Morstyn, Thomas & Collett, Katherine A. & Vijay, Avinash & Deakin, Matthew & Wheeler, Scot & Bhagavathy, Sivapriya M. & Fele, Filiberto & McCulloch, Malcolm D., 2020. "OPEN: An open-source platform for developing smart local energy system applications," Applied Energy, Elsevier, vol. 275(C).
    2. Theresa Liegl & Simon Schramm & Philipp Kuhn & Thomas Hamacher, 2023. "Considering Socio-Technical Parameters in Energy System Models—The Current Status and Next Steps," Energies, MDPI, vol. 16(20), pages 1-19, October.
    3. Khan, Hafiz Anwar Ullah & Ünel, Burçin & Dvorkin, Yury, 2023. "Electricity Tariff Design via Lens of Energy Justice," Omega, Elsevier, vol. 117(C).
    4. Lyu, Yuan & He, Yongxiu & Li, Shanzi & Zhou, Jinghan & Tian, BingYing, 2024. "Channeling approach of prosumer connection costs considering regional differences in China — Evolutionary game among distributed photovoltaic entities," Energy, Elsevier, vol. 289(C).
    5. Savelli, Iacopo & Hepburn, Cameron & Morstyn, Thomas, 2024. "A blueprint for energy systems in the era of central bank digital currencies," Technological Forecasting and Social Change, Elsevier, vol. 207(C).
    6. Herenčić, Lin & Kirac, Mislav & Keko, Hrvoje & Kuzle, Igor & Rajšl, Ivan, 2022. "Automated energy sharing in MV and LV distribution grids within an energy community: A case for Croatian city of Križevci with a hybrid renewable system," Renewable Energy, Elsevier, vol. 191(C), pages 176-194.
    7. Ringkjøb, Hans-Kristian & Haugan, Peter M. & Solbrekke, Ida Marie, 2018. "A review of modelling tools for energy and electricity systems with large shares of variable renewables," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 440-459.
    8. Vaughan, Jim & Doumen, Sjoerd C. & Kok, Koen, 2023. "Empowering tomorrow, controlling today: A multi-criteria assessment of distribution grid tariff designs," Applied Energy, Elsevier, vol. 341(C).
    9. Hughes, Michael S. & Lunday, Brian J., 2022. "The Weapon Target Assignment Problem: Rational Inference of Adversary Target Utility Valuations from Observed Solutions," Omega, Elsevier, vol. 107(C).
    10. Savelli, Iacopo & Hardy, Jeffrey & Hepburn, Cameron & Morstyn, Thomas, 2022. "Putting wind and solar in their place: Internalising congestion and other system-wide costs with enhanced contracts for difference in Great Britain," Energy Economics, Elsevier, vol. 113(C).
    11. Salvia, Monica & Simoes, Sofia G. & Herrando, María & Čavar, Marko & Cosmi, Carmelina & Pietrapertosa, Filomena & Gouveia, João Pedro & Fueyo, Norberto & Gómez, Antonio & Papadopoulou, Kiki & Taxeri, , 2021. "Improving policy making and strategic planning competencies of public authorities in the energy management of municipal public buildings: The PrioritEE toolbox and its application in five mediterranea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    12. Maximilian Parzen & Fabian Neumann & Addrian H. Van Der Weijde & Daniel Friedrich & Aristides Kiprakis, 2021. "Beyond cost reduction: Improving the value of energy storage in electricity systems," Papers 2101.10092, arXiv.org, revised Jul 2022.
    13. Savelli, Iacopo & Bokkisam, Hanumantha Rao & Cuffe, Paul & Morstyn, Thomas, 2023. "On-demand energy flexibility market via smart contracts to help reduce balancing costs in Great Britain," Energy Economics, Elsevier, vol. 126(C).
    14. Capros, Pantelis & Zazias, Georgios & Evangelopoulou, Stavroula & Kannavou, Maria & Fotiou, Theofano & Siskos, Pelopidas & De Vita, Alessia & Sakellaris, Konstantinos, 2019. "Energy-system modelling of the EU strategy towards climate-neutrality," Energy Policy, Elsevier, vol. 134(C).
    15. Lyu, Yuan & He, Yongxiu & Li, Shanzi & Zhou, Jinghan & Li, Bo, 2024. "Impact of grid connection cost channeling mechanisms on the development of distributed photovoltaic: The case of China," Energy Policy, Elsevier, vol. 187(C).
    16. Guo, Rui & Meunier, Simon & Protopapadaki, Christina & Saelens, Dirk, 2023. "A review of European low-voltage distribution networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    17. Lyu, Yuan & He, Yongxiu & Zhou, Jinghan & Xie, Yuxin, 2023. "Prosumer standby fee design: Solving the inequity problem of China's county-wide photovoltaic project promotion," Renewable Energy, Elsevier, vol. 207(C), pages 309-320.
    18. Minuto, Francesco Demetrio & Lanzini, Andrea, 2022. "Energy-sharing mechanisms for energy community members under different asset ownership schemes and user demand profiles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    19. Thomas Betten & Shivenes Shammugam & Roberta Graf, 2020. "Adjustment of the Life Cycle Inventory in Life Cycle Assessment for the Flexible Integration into Energy Systems Analysis," Energies, MDPI, vol. 13(17), pages 1-19, August.
    20. Ettore Bompard & Daniele Grosso & Tao Huang & Francesco Profumo & Xianzhang Lei & Duo Li, 2018. "World Decarbonization through Global Electricity Interconnections," Energies, MDPI, vol. 11(7), pages 1-29, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:373:y:2024:i:c:s0306261924012315. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.