IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v332y2023ics0306261922017639.html
   My bibliography  Save this article

Development and validation of an AI-Driven model for the La Rance tidal barrage: A generalisable case study

Author

Listed:
  • Moreira, Túlio Marcondes
  • de Faria, Jackson Geraldo
  • Vaz-de-Melo, Pedro O.S.
  • Medeiros-Ribeiro, Gilberto

Abstract

In this work, an AI-Driven (autonomous) model representation of the La Rance tidal barrage was developed using novel parametrisation and Deep Reinforcement Learning (DRL) techniques. Our model results were validated with experimental measurements, yielding the first Tidal Range Structure (TRS) model validated against a constructed tidal barrage and made available to academics. In order to proper model La Rance, parametrisation methodologies were developed for simulating (i) turbines (in pumping and power generation modes), (ii) transition ramp functions (for opening and closing hydraulic structures) and (iii) equivalent lagoon wetted area. Furthermore, an updated DRL method was implemented for optimising the operation of the hydraulic structures that compose La Rance. The achieved objective of this work was to verify the capabilities of an AI-Driven TRS model to appropriately predict (i) turbine power and (ii) lagoon water level variations. In addition, the observed operational strategy and yearly energy output of our AI-Driven model appeared to be comparable with those reported for the La Rance tidal barrage. The outcomes of this work (developed methodologies and DRL implementations) are generalisable and can be applied to other TRS projects. Furthermore, this work provided insights which allow for more realistic simulation of TRS operation, enabled through our AI-Driven model.

Suggested Citation

  • Moreira, Túlio Marcondes & de Faria, Jackson Geraldo & Vaz-de-Melo, Pedro O.S. & Medeiros-Ribeiro, Gilberto, 2023. "Development and validation of an AI-Driven model for the La Rance tidal barrage: A generalisable case study," Applied Energy, Elsevier, vol. 332(C).
    • Handle: RePEc:eee:appene:v:332:y:2023:i:c:s0306261922017639
    DOI: 10.1016/j.apenergy.2022.120506
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261922017639
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2022.120506?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. Zhou, Juntao & Falconer, Roger A. & Lin, Binliang, 2014. "Refinements to the EFDC model for predicting the hydro-environmental impacts of a barrage across the Severn Estuary," Renewable Energy, Elsevier, vol. 62(C), pages 490-505.
    2. Jingjing Xue & Reza Ahmadian & Roger A. Falconer, 2019. "Optimising the Operation of Tidal Range Schemes," Energies, MDPI, vol. 12(15), pages 1-23, July.
    3. Harcourt, Freddie & Angeloudis, Athanasios & Piggott, Matthew D., 2019. "Utilising the flexible generation potential of tidal range power plants to optimise economic value," Applied Energy, Elsevier, vol. 237(C), pages 873-884.
    4. Xue, Jingjing & Ahmadian, Reza & Jones, Owen, 2020. "Genetic Algorithm in Tidal Range Schemes’ Optimisation," Energy, Elsevier, vol. 200(C).
    5. Yates, Nicholas & Walkington, Ian & Burrows, Richard & Wolf, Judith, 2013. "The energy gains realisable through pumping for tidal range energy schemes," Renewable Energy, Elsevier, vol. 58(C), pages 79-84.
    6. Waters, Shaun & Aggidis, George, 2016. "A World First: Swansea Bay Tidal lagoon in review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 916-921.
    7. Lu, Renzhi & Hong, Seung Ho & Zhang, Xiongfeng, 2018. "A Dynamic pricing demand response algorithm for smart grid: Reinforcement learning approach," Applied Energy, Elsevier, vol. 220(C), pages 220-230.
    8. Angeloudis, Athanasios & Ahmadian, Reza & Falconer, Roger A. & Bockelmann-Evans, Bettina, 2016. "Numerical model simulations for optimisation of tidal lagoon schemes," Applied Energy, Elsevier, vol. 165(C), pages 522-536.
    9. Kelly, K.A. & McManus, M.C. & Hammond, G.P., 2012. "An energy and carbon life cycle assessment of tidal power case study: The proposed Cardiff–Weston severn barrage scheme," Energy, Elsevier, vol. 44(1), pages 692-701.
    10. Mariana Simão & Helena M. Ramos, 2019. "Micro Axial Turbine Hill Charts: Affinity Laws, Experiments and CFD Simulations for Different Diameters," Energies, MDPI, vol. 12(15), pages 1-15, July.
    11. Li, Ying & Pan, Dong-Zi, 2017. "The ebb and flow of tidal barrage development in Zhejiang Province, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 380-389.
    12. Zhou, Juntao & Pan, Shunqi & Falconer, Roger A., 2014. "Optimization modelling of the impacts of a Severn Barrage for a two-way generation scheme using a Continental Shelf model," Renewable Energy, Elsevier, vol. 72(C), pages 415-427.
    13. Angeloudis, Athanasios & Kramer, Stephan C. & Avdis, Alexandros & Piggott, Matthew D., 2018. "Optimising tidal range power plant operation," Applied Energy, Elsevier, vol. 212(C), pages 680-690.
    14. Aggidis, G.A. & Feather, O., 2012. "Tidal range turbines and generation on the Solway Firth," Renewable Energy, Elsevier, vol. 43(C), pages 9-17.
    15. Waters, Shaun & Aggidis, George, 2016. "Tidal range technologies and state of the art in review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 514-529.
    16. Aitor Saenz-Aguirre & Ekaitz Zulueta & Unai Fernandez-Gamiz & Javier Lozano & Jose Manuel Lopez-Guede, 2019. "Artificial Neural Network Based Reinforcement Learning for Wind Turbine Yaw Control," Energies, MDPI, vol. 12(3), pages 1-17, January.
    17. Xue, Jingjing & Ahmadian, Reza & Jones, Owen & Falconer, Roger A., 2021. "Design of tidal range energy generation schemes using a Genetic Algorithm model," Applied Energy, Elsevier, vol. 286(C).
    18. Chang, Byungik & Starcher, Ken, 2019. "Evaluation of wind and solar energy investments in Texas," Renewable Energy, Elsevier, vol. 132(C), pages 1348-1359.
    19. David Silver & Aja Huang & Chris J. Maddison & Arthur Guez & Laurent Sifre & George van den Driessche & Julian Schrittwieser & Ioannis Antonoglou & Veda Panneershelvam & Marc Lanctot & Sander Dieleman, 2016. "Mastering the game of Go with deep neural networks and tree search," Nature, Nature, vol. 529(7587), pages 484-489, January.
    20. Charlier, Roger H., 2007. "Forty candles for the Rance River TPP tides provide renewable and sustainable power generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(9), pages 2032-2057, December.
    21. Lisboa, A.C. & Vieira, T.L. & Guedes, L.S.M. & Vieira, D.A.G. & Saldanha, R.R., 2017. "Optimal analytic dispatch for tidal energy generation," Renewable Energy, Elsevier, vol. 108(C), pages 371-379.
    22. Neill, Simon P. & Angeloudis, Athanasios & Robins, Peter E. & Walkington, Ian & Ward, Sophie L. & Masters, Ian & Lewis, Matt J. & Piano, Marco & Avdis, Alexandros & Piggott, Matthew D. & Aggidis, Geor, 2018. "Tidal range energy resource and optimization – Past perspectives and future challenges," Renewable Energy, Elsevier, vol. 127(C), pages 763-778.
    23. O Rourke, Fergal & Boyle, Fergal & Reynolds, Anthony, 2010. "Tidal energy update 2009," Applied Energy, Elsevier, vol. 87(2), pages 398-409, February.
    24. Angeloudis, Athanasios & Falconer, Roger A., 2017. "Sensitivity of tidal lagoon and barrage hydrodynamic impacts and energy outputs to operational characteristics," Renewable Energy, Elsevier, vol. 114(PA), pages 337-351.
    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. Angeloudis, Athanasios & Kramer, Stephan C. & Hawkins, Noah & Piggott, Matthew D., 2020. "On the potential of linked-basin tidal power plants: An operational and coastal modelling assessment," Renewable Energy, Elsevier, vol. 155(C), pages 876-888.
    2. Xue, Jingjing & Ahmadian, Reza & Jones, Owen & Falconer, Roger A., 2021. "Design of tidal range energy generation schemes using a Genetic Algorithm model," Applied Energy, Elsevier, vol. 286(C).
    3. Harcourt, Freddie & Angeloudis, Athanasios & Piggott, Matthew D., 2019. "Utilising the flexible generation potential of tidal range power plants to optimise economic value," Applied Energy, Elsevier, vol. 237(C), pages 873-884.
    4. Pappas, Konstantinos & Mackie, Lucas & Zilakos, Ilias & van der Weijde, Adriaan Hendrik & Angeloudis, Athanasios, 2023. "Sensitivity of tidal range assessments to harmonic constituents and analysis timeframe," Renewable Energy, Elsevier, vol. 205(C), pages 125-141.
    5. Mejia-Olivares, Carlos Joel & Haigh, Ivan D. & Angeloudis, Athanasios & Lewis, Matt J. & Neill, Simon P., 2020. "Tidal range energy resource assessment of the Gulf of California, Mexico," Renewable Energy, Elsevier, vol. 155(C), pages 469-483.
    6. Neill, Simon P. & Angeloudis, Athanasios & Robins, Peter E. & Walkington, Ian & Ward, Sophie L. & Masters, Ian & Lewis, Matt J. & Piano, Marco & Avdis, Alexandros & Piggott, Matthew D. & Aggidis, Geor, 2018. "Tidal range energy resource and optimization – Past perspectives and future challenges," Renewable Energy, Elsevier, vol. 127(C), pages 763-778.
    7. Angeloudis, Athanasios & Kramer, Stephan C. & Avdis, Alexandros & Piggott, Matthew D., 2018. "Optimising tidal range power plant operation," Applied Energy, Elsevier, vol. 212(C), pages 680-690.
    8. Guo, Bin & Ahmadian, Reza & Falconer, Roger A., 2021. "Refined hydro-environmental modelling for tidal energy generation: West Somerset Lagoon case study," Renewable Energy, Elsevier, vol. 179(C), pages 2104-2123.
    9. Angeloudis, Athanasios & Falconer, Roger A., 2017. "Sensitivity of tidal lagoon and barrage hydrodynamic impacts and energy outputs to operational characteristics," Renewable Energy, Elsevier, vol. 114(PA), pages 337-351.
    10. Martí Barclay, Vicky & Neill, Simon P. & Angeloudis, Athanasios, 2023. "Tidal range resource of the Patagonian shelf," Renewable Energy, Elsevier, vol. 209(C), pages 85-96.
    11. Jingjing Xue & Reza Ahmadian & Roger A. Falconer, 2019. "Optimising the Operation of Tidal Range Schemes," Energies, MDPI, vol. 12(15), pages 1-23, July.
    12. Xue, Jingjing & Ahmadian, Reza & Jones, Owen, 2020. "Genetic Algorithm in Tidal Range Schemes’ Optimisation," Energy, Elsevier, vol. 200(C).
    13. Angeloudis, Athanasios & Falconer, Roger A. & Bray, Samuel & Ahmadian, Reza, 2016. "Representation and operation of tidal energy impoundments in a coastal hydrodynamic model," Renewable Energy, Elsevier, vol. 99(C), pages 1103-1115.
    14. Milad Shadman & Corbiniano Silva & Daiane Faller & Zhijia Wu & Luiz Paulo de Freitas Assad & Luiz Landau & Carlos Levi & Segen F. Estefen, 2019. "Ocean Renewable Energy Potential, Technology, and Deployments: A Case Study of Brazil," Energies, MDPI, vol. 12(19), pages 1-37, September.
    15. Hanousek, Nicolas & Ahmadian, Reza & Lesurf, Emma, 2023. "Providing distributed electrical generation through retrofitting disused docks as tidal range energy schemes," Renewable Energy, Elsevier, vol. 217(C).
    16. Li, Gang & Zhu, Weidong, 2023. "Tidal current energy harvesting technologies: A review of current status and life cycle assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 179(C).
    17. Aguiar, Alessandro L. & Marta-Almeida, Martinho & Cirano, Mauro & Pereira, Janini & da Cunha, Letícia Cotrim, 2024. "Numerical assessment of tidal potential energy in the Brazilian Equatorial Shelf," Renewable Energy, Elsevier, vol. 220(C).
    18. Prasasti, E.B. & Aouad, M. & Joseph, M. & Zangeneh, M. & Terheiden, K., 2024. "Optimization of pumped hydro energy storage design and operation for offshore low-head application and grid stabilization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    19. Yunna Wu & Chuanbo Xu & Hu Xu, 2016. "Optimal Site Selection of Tidal Power Plants Using a Novel Method: A Case in China," Energies, MDPI, vol. 9(10), pages 1-26, October.
    20. Roche, R.C. & Walker-Springett, K. & Robins, P.E. & Jones, J. & Veneruso, G. & Whitton, T.A. & Piano, M. & Ward, S.L. & Duce, C.E. & Waggitt, J.J. & Walker-Springett, G.R. & Neill, S.P. & Lewis, M.J. , 2016. "Research priorities for assessing potential impacts of emerging marine renewable energy technologies: Insights from developments in Wales (UK)," Renewable Energy, Elsevier, vol. 99(C), pages 1327-1341.

    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:332:y:2023:i:c:s0306261922017639. 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.