IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i6p1780-d522772.html
   My bibliography  Save this article

Assessment of High-Electrification UK Scenarios with Varying Levels of Nuclear Power and Associated Post-Fault Behaviour

Author

Listed:
  • Mohamed Hadri

    (EDF Energy R&D, Croydon, London CR0 2AJ, UK)

  • Vincenzo Trovato

    (Electrical and Electronic Engineering, South Kensington Campus, Imperial College London, London SW7 2AZ, UK)

  • Agnes Bialecki

    (EDF Energy R&D, Croydon, London CR0 2AJ, UK)

  • Bruno Merk

    (School of Engineering, University of Liverpool, Liverpool L69 3GH, UK)

  • Aiden Peakman

    (School of Engineering, University of Liverpool, Liverpool L69 3GH, UK
    National Nuclear Laboratory, Chadwick House, Warrington WA3 6AE, UK)

Abstract

Renewable integration into the electricity system of Great Britain (GB) is causing considerable demand for additional flexibility from plants. In particular, a considerable share of this flexibility may be dispatched to secure post-fault transient frequency dynamics. Pursuant to the unprecedented changes to the traditional portfolio of generation sources, this work presents a detailed analysis of the potential system-level value of unlocking flexibility from nuclear electricity production. A rigorous enhanced mixed integer linear programming (MILP) unit commitment formulation is adopted to simulate several generation-demand scenarios where different layers of flexibility are associated to the operation of nuclear power plants. Moreover, the proposed optimisation model is able to assess the benefit of the large contribution to the system inertial response provided by nuclear power plants. This is made possible by considering a set of linearised inertia-dependent and multi-speed constraints on post fault frequency dynamics. Several case studies are introduced considering 2050 GB low-carbon scenarios. The value of operating the nuclear fleet under more flexible paradigms is assessed, including environmental considerations quantified in terms of system-level CO 2 emissions’ reduction.

Suggested Citation

  • Mohamed Hadri & Vincenzo Trovato & Agnes Bialecki & Bruno Merk & Aiden Peakman, 2021. "Assessment of High-Electrification UK Scenarios with Varying Levels of Nuclear Power and Associated Post-Fault Behaviour," Energies, MDPI, vol. 14(6), pages 1-23, March.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:6:p:1780-:d:522772
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/6/1780/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/6/1780/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Aiden Peakman & Robert Gregg, 2020. "The Fuel Cycle Implications of Nuclear Process Heat," Energies, MDPI, vol. 13(22), pages 1-19, November.
    2. Li, Pengfei & Hu, Weihao & Hu, Rui & Huang, Qi & Yao, Jun & Chen, Zhe, 2019. "Strategy for wind power plant contribution to frequency control under variable wind speed," Renewable Energy, Elsevier, vol. 130(C), pages 1226-1236.
    3. Price, James & Zeyringer, Marianne & Konadu, Dennis & Sobral Mourão, Zenaida & Moore, Andy & Sharp, Ed, 2018. "Low carbon electricity systems for Great Britain in 2050: An energy-land-water perspective," Applied Energy, Elsevier, vol. 228(C), pages 928-941.
    4. Díaz-González, Francisco & Hau, Melanie & Sumper, Andreas & Gomis-Bellmunt, Oriol, 2014. "Participation of wind power plants in system frequency control: Review of grid code requirements and control methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 34(C), pages 551-564.
    5. Pina, André & Silva, Carlos A. & Ferrão, Paulo, 2013. "High-resolution modeling framework for planning electricity systems with high penetration of renewables," Applied Energy, Elsevier, vol. 112(C), pages 215-223.
    6. Greenwood, D.M. & Lim, K.Y. & Patsios, C. & Lyons, P.F. & Lim, Y.S. & Taylor, P.C., 2017. "Frequency response services designed for energy storage," Applied Energy, Elsevier, vol. 203(C), pages 115-127.
    7. Pfenninger, Stefan & Keirstead, James, 2015. "Renewables, nuclear, or fossil fuels? Scenarios for Great Britain’s power system considering costs, emissions and energy security," Applied Energy, Elsevier, vol. 152(C), pages 83-93.
    8. Aiden Peakman & Bruno Merk & Kevin Hesketh, 2020. "The Potential of Pressurised Water Reactors to Provide Flexible Response in Future Electricity Grids," Energies, MDPI, vol. 13(4), pages 1-16, February.
    9. Johnson, Samuel C. & Rhodes, Joshua D. & Webber, Michael E., 2020. "Understanding the impact of non-synchronous wind and solar generation on grid stability and identifying mitigation pathways," Applied Energy, Elsevier, vol. 262(C).
    10. Marianne Zeyringer & James Price & Birgit Fais & Pei-Hao Li & Ed Sharp, 2018. "Designing low-carbon power systems for Great Britain in 2050 that are robust to the spatiotemporal and inter-annual variability of weather," Nature Energy, Nature, vol. 3(5), pages 395-403, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lynch, Arthur & Perez, Yannick & Gabriel, Sophie & Mathonniere, Gilles, 2022. "Nuclear fleet flexibility: Modeling and impacts on power systems with renewable energy," Applied Energy, Elsevier, vol. 314(C).
    2. Klaus Rheinberger & Peter Kepplinger & Markus Preißinger, 2021. "Flexibility Control in Autonomous Demand Response by Optimal Power Tracking," Energies, MDPI, vol. 14(12), pages 1-14, June.

    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. Chyong, Chi Kong & Newbery, David, 2022. "A unit commitment and economic dispatch model of the GB electricity market – Formulation and application to hydro pumped storage," Energy Policy, Elsevier, vol. 170(C).
    2. Price, James & Zeyringer, Marianne & Konadu, Dennis & Sobral Mourão, Zenaida & Moore, Andy & Sharp, Ed, 2018. "Low carbon electricity systems for Great Britain in 2050: An energy-land-water perspective," Applied Energy, Elsevier, vol. 228(C), pages 928-941.
    3. Borasio, M. & Moret, S., 2022. "Deep decarbonisation of regional energy systems: A novel modelling approach and its application to the Italian energy transition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    4. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    5. Cheng, Yi & Azizipanah-Abarghooee, Rasoul & Azizi, Sadegh & Ding, Lei & Terzija, Vladimir, 2020. "Smart frequency control in low inertia energy systems based on frequency response techniques: A review," Applied Energy, Elsevier, vol. 279(C).
    6. Niina Helistö & Juha Kiviluoma & Hannele Holttinen & Jose Daniel Lara & Bri‐Mathias Hodge, 2019. "Including operational aspects in the planning of power systems with large amounts of variable generation: A review of modeling approaches," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 8(5), September.
    7. Homan, Samuel & Mac Dowell, Niall & Brown, Solomon, 2021. "Grid frequency volatility in future low inertia scenarios: Challenges and mitigation options," Applied Energy, Elsevier, vol. 290(C).
    8. Laha, Priyanka & Chakraborty, Basab, 2021. "Low carbon electricity system for India in 2030 based on multi-objective multi-criteria assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    9. Siavash Asiaban & Nezmin Kayedpour & Arash E. Samani & Dimitar Bozalakov & Jeroen D. M. De Kooning & Guillaume Crevecoeur & Lieven Vandevelde, 2021. "Wind and Solar Intermittency and the Associated Integration Challenges: A Comprehensive Review Including the Status in the Belgian Power System," Energies, MDPI, vol. 14(9), pages 1-41, May.
    10. 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.
    11. Zhao, Ning & You, Fengqi, 2020. "Can renewable generation, energy storage and energy efficient technologies enable carbon neutral energy transition?," Applied Energy, Elsevier, vol. 279(C).
    12. Li, Le & Zhu, Donghai & Zou, Xudong & Hu, Jiabing & Kang, Yong & Guerrero, Josep M., 2023. "Review of frequency regulation requirements for wind power plants in international grid codes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    13. Guerra, K. & Welfle, A. & Gutiérrez-Alvarez, R. & Freer, M. & Ma, L. & Haro, P., 2024. "The role of energy storage in Great Britain's future power system: focus on hydrogen and biomass," Applied Energy, Elsevier, vol. 357(C).
    14. Zhou, Wenji & Hagos, Dejene Assefa & Stikbakke, Sverre & Huang, Lizhen & Cheng, Xu & Onstein, Erling, 2022. "Assessment of the impacts of different policy instruments on achieving the deep decarbonization targets of island energy systems in Norway – The case of Hinnøya," Energy, Elsevier, vol. 246(C).
    15. Khan, Asif & Seyedmahmoudian, Mehdi & Raza, Ali & Stojcevski, Alex, 2021. "Analytical review on common and state-of-the-art FR strategies for VSC-MTDC integrated offshore wind power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    16. Krakowski, Vincent & Assoumou, Edi & Mazauric, Vincent & Maïzi, Nadia, 2016. "Feasible path toward 40–100% renewable energy shares for power supply in France by 2050: A prospective analysis," Applied Energy, Elsevier, vol. 171(C), pages 501-522.
    17. Hua, Weiqi & Jiang, Jing & Sun, Hongjian & Wu, Jianzhong, 2020. "A blockchain based peer-to-peer trading framework integrating energy and carbon markets," Applied Energy, Elsevier, vol. 279(C).
    18. Krakowski, Vincent & Assoumou, Edi & Mazauric, Vincent & Maïzi, Nadia, 2016. "Reprint of Feasible path toward 40–100% renewable energy shares for power supply in France by 2050: A prospective analysis," Applied Energy, Elsevier, vol. 184(C), pages 1529-1550.
    19. Few, Sheridan & Djapic, Predrag & Strbac, Goran & Nelson, Jenny & Candelise, Chiara, 2020. "Assessing local costs and impacts of distributed solar PV using high resolution data from across Great Britain," Renewable Energy, Elsevier, vol. 162(C), pages 1140-1150.
    20. de Guibert, Paul & Shirizadeh, Behrang & Quirion, Philippe, 2020. "Variable time-step: A method for improving computational tractability for energy system models with long-term storage," Energy, Elsevier, vol. 213(C).

    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:14:y:2021:i:6:p:1780-:d:522772. 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.