IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i8p3548-d1127752.html
   My bibliography  Save this article

Balancing Electricity Supply and Demand in a Carbon-Neutral Northern Europe

Author

Listed:
  • Lisa Göransson

    (Department of Space, Earth and Environment, Chalmers University of Technology, 412 96 Göteborg, Sweden)

Abstract

This work investigates how to balance the electricity supply and demand in a carbon-neutral northern Europe. Applying a cost-minimizing electricity system model including options to invest in eleven different flexibility measures, and cost-efficient combinations of strategies to manage variations were identified. The results of the model were post-processed using a novel method to map the net load before and after flexibility measures were applied to reveal the contribution of each flexibility measure. The net load was mapped in the space spanned by the amplitude, duration and number of occurrences. The mapping shows that, depending on cost structure, flexibility measures contribute to reduce the net load in three different ways; (1) by reducing variations with a long duration but low amplitude, (2) by reducing variations with a high amplitude but short duration and low occurrence or (3) by reducing variations with a high amplitude, short duration and high occurrence. It was found that cost-efficient variation management was achieved by combining wind and solar power and by combining strategies (1–3) to manage the variations. The cost-efficient combination of strategies depends on electricity system context where electricity trade, flexible hydrogen and heat production (1) manage the majority of the variations in regions with good conditions for wind power while stationary batteries (3) were the main contributors in regions with good conditions for solar power.

Suggested Citation

  • Lisa Göransson, 2023. "Balancing Electricity Supply and Demand in a Carbon-Neutral Northern Europe," Energies, MDPI, vol. 16(8), pages 1-27, April.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:8:p:3548-:d:1127752
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/8/3548/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/8/3548/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Niina Helistö & Juha Kiviluoma & Jussi Ikäheimo & Topi Rasku & Erkka Rinne & Ciara O’Dwyer & Ran Li & Damian Flynn, 2019. "Backbone—An Adaptable Energy Systems Modelling Framework," Energies, MDPI, vol. 12(17), pages 1-34, September.
    2. Heggarty, Thomas & Bourmaud, Jean-Yves & Girard, Robin & Kariniotakis, Georges, 2020. "Quantifying power system flexibility provision," Applied Energy, Elsevier, vol. 279(C).
    3. Göransson, Lisa & Goop, Joel & Odenberger, Mikael & Johnsson, Filip, 2017. "Impact of thermal plant cycling on the cost-optimal composition of a regional electricity generation system," Applied Energy, Elsevier, vol. 197(C), pages 230-240.
    4. Lisa Göransson & Mariliis Lehtveer & Emil Nyholm & Maria Taljegard & Viktor Walter, 2019. "The Benefit of Collaboration in the North European Electricity System Transition—System and Sector Perspectives," Energies, MDPI, vol. 12(24), pages 1-23, December.
    5. Denholm, Paul & Mai, Trieu, 2019. "Timescales of energy storage needed for reducing renewable energy curtailment," Renewable Energy, Elsevier, vol. 130(C), pages 388-399.
    6. Nyamdash, Batsaikhan & Denny, Eleanor & O'Malley, Mark, 2010. "The viability of balancing wind generation with large scale energy storage," Energy Policy, Elsevier, vol. 38(11), pages 7200-7208, November.
    7. Ullmark, Jonathan & Göransson, Lisa & Chen, Peiyuan & Bongiorno, Massimo & Johnsson, Filip, 2021. "Inclusion of frequency control constraints in energy system investment modeling," Renewable Energy, Elsevier, vol. 173(C), pages 249-262.
    8. Zhao, Haoran & Wu, Qiuwei & Hu, Shuju & Xu, Honghua & Rasmussen, Claus Nygaard, 2015. "Review of energy storage system for wind power integration support," Applied Energy, Elsevier, vol. 137(C), pages 545-553.
    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. Simpson, J.G. & Hanrahan, G. & Loth, E. & Koenig, G.M. & Sadoway, D.R., 2021. "Liquid metal battery storage in an offshore wind turbine: Concept and economic analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    2. James Amankwah Adu & Alberto Berizzi & Francesco Conte & Fabio D’Agostino & Valentin Ilea & Fabio Napolitano & Tadeo Pontecorvo & Andrea Vicario, 2022. "Power System Stability Analysis of the Sicilian Network in the 2050 OSMOSE Project Scenario," Energies, MDPI, vol. 15(10), pages 1-33, May.
    3. Antweiler, Werner, 2021. "Microeconomic models of electricity storage: Price Forecasting, arbitrage limits, curtailment insurance, and transmission line utilization," Energy Economics, Elsevier, vol. 101(C).
    4. McPherson, Madeleine & Tahseen, Samiha, 2018. "Deploying storage assets to facilitate variable renewable energy integration: The impacts of grid flexibility, renewable penetration, and market structure," Energy, Elsevier, vol. 145(C), pages 856-870.
    5. Vorushylo, I. & Keatley, P. & Hewitt, NJ, 2016. "Most promising flexible generators for the wind dominated market," Energy Policy, Elsevier, vol. 96(C), pages 564-575.
    6. Walter, Viktor & Göransson, Lisa & Taljegard, Maria & Öberg, Simon & Odenberger, Mikael, 2023. "Low-cost hydrogen in the future European electricity system – Enabled by flexibility in time and space," Applied Energy, Elsevier, vol. 330(PB).
    7. Jeon, Wooyoung & Mo, Jung Youn, 2018. "The true economic value of supply-side energy storage in the smart grid environment – The case of Korea," Energy Policy, Elsevier, vol. 121(C), pages 101-111.
    8. Öberg, Simon & Odenberger, Mikael & Johnsson, Filip, 2022. "The cost dynamics of hydrogen supply in future energy systems – A techno-economic study," Applied Energy, Elsevier, vol. 328(C).
    9. Qin, Chao & Saunders, Gordon & Loth, Eric, 2017. "Offshore wind energy storage concept for cost-of-rated-power savings," Applied Energy, Elsevier, vol. 201(C), pages 148-157.
    10. Toktarova, Alla & Walter, Viktor & Göransson, Lisa & Johnsson, Filip, 2022. "Interaction between electrified steel production and the north European electricity system," Applied Energy, Elsevier, vol. 310(C).
    11. Alla Toktarova & Lisa Göransson & Filip Johnsson, 2021. "Design of Clean Steel Production with Hydrogen: Impact of Electricity System Composition," Energies, MDPI, vol. 14(24), pages 1-21, December.
    12. Beiron, Johanna & Montañés, Rubén M. & Normann, Fredrik & Johnsson, Filip, 2020. "Flexible operation of a combined cycle cogeneration plant – A techno-economic assessment," Applied Energy, Elsevier, vol. 278(C).
    13. Gui, Yonghao & Wei, Baoze & Li, Mingshen & Guerrero, Josep M. & Vasquez, Juan C., 2018. "Passivity-based coordinated control for islanded AC microgrid," Applied Energy, Elsevier, vol. 229(C), pages 551-561.
    14. Durmaz, Tunç, 2016. "Precautionary Storage in Electricity Markets," Discussion Papers 2016/5, Norwegian School of Economics, Department of Business and Management Science.
    15. Cheng, Meng & Sami, Saif Sabah & Wu, Jianzhong, 2017. "Benefits of using virtual energy storage system for power system frequency response," Applied Energy, Elsevier, vol. 194(C), pages 376-385.
    16. Maria Taljegard & Lisa Göransson & Mikael Odenberger & Filip Johnsson, 2021. "To Represent Electric Vehicles in Electricity Systems Modelling—Aggregated Vehicle Representation vs. Individual Driving Profiles," Energies, MDPI, vol. 14(3), pages 1-25, January.
    17. Nyong-Bassey, Bassey Etim & Giaouris, Damian & Patsios, Charalampos & Papadopoulou, Simira & Papadopoulos, Athanasios I. & Walker, Sara & Voutetakis, Spyros & Seferlis, Panos & Gadoue, Shady, 2020. "Reinforcement learning based adaptive power pinch analysis for energy management of stand-alone hybrid energy storage systems considering uncertainty," Energy, Elsevier, vol. 193(C).
    18. Nallapaneni Manoj Kumar & Aneesh A. Chand & Maria Malvoni & Kushal A. Prasad & Kabir A. Mamun & F.R. Islam & Shauhrat S. Chopra, 2020. "Distributed Energy Resources and the Application of AI, IoT, and Blockchain in Smart Grids," Energies, MDPI, vol. 13(21), pages 1-42, November.
    19. 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.
    20. Fichter, Tobias & Soria, Rafael & Szklo, Alexandre & Schaeffer, Roberto & Lucena, Andre F.P., 2017. "Assessing the potential role of concentrated solar power (CSP) for the northeast power system of Brazil using a detailed power system model," Energy, Elsevier, vol. 121(C), pages 695-715.

    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:gam:jeners:v:16:y:2023:i:8:p:3548-:d:1127752. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.