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Numerical model simulations for optimisation of tidal lagoon schemes

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  • Angeloudis, Athanasios
  • Ahmadian, Reza
  • Falconer, Roger A.
  • Bockelmann-Evans, Bettina

Abstract

This study considers environmental impacts and the power production potential of a number of coastally attached tidal lagoons, proposed along the North Wales coast, UK. Initially, the impoundment shape, turbine and sluice gate locations were modified according to the regional bathymetric data. A refined 0-Dimensional approach was implemented to optimise the lagoon operation, based on given turbine and sluice gate specifications. In turn, a two-dimensional numerical model, based on an unstructured triangular mesh, has been refined to simulate the hydrodynamic processes, initially without and subsequently in the presence of the lagoons. The hydrodynamic model adopts a TVD finite volume method to solve the 2D shallow water equations, based on a second-order accurate spatial and temporal numerical scheme. An encouraging performance is apparent in reproducing the established conditions encountered in the region through comparisons against available data. The incorporation of tidal lagoons in the model appears to have a considerable effect on the flow structure in the region, by inducing high velocity accelerations near the sluices and turbines, depending on the stage of the tidal cycle. Considering a two-way generation regime, it is outlined that the loss of intertidal regions can be minimised, which is a major source of concern with regards to the environmental impact of such schemes through an ebb-generation operation. Particular focus is directed towards the comparisons between the 0-D and 2-D modelling results, an aspect which has not been reported previously. Predictions of the models diverge as the scale of the lagoon project increases, but it is highlighted that the 0-D methodology can be utilised for the optimisation of the processes in the initial stages of design before proceeding to more sophisticated numerical model simulations.

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  • 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.
    • Handle: RePEc:eee:appene:v:165:y:2016:i:c:p:522-536
    DOI: 10.1016/j.apenergy.2015.12.079
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    Cited by:

    1. 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.
    2. Theo, Wai Lip & Lim, Jeng Shiun & Ho, Wai Shin & Hashim, Haslenda & Lee, Chew Tin, 2017. "Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 531-573.
    3. Jingjing Xue & Reza Ahmadian & Roger A. Falconer, 2019. "Optimising the Operation of Tidal Range Schemes," Energies, MDPI, vol. 12(15), pages 1-23, July.
    4. 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.
    5. 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).
    6. Lo Brutto, Ottavio A. & Thiébot, Jérôme & Guillou, Sylvain S. & Gualous, Hamid, 2016. "A semi-analytic method to optimize tidal farm layouts – Application to the Alderney Race (Raz Blanchard), France," Applied Energy, Elsevier, vol. 183(C), pages 1168-1180.
    7. Marta-Almeida, Martinho & Cirano, Mauro & Guedes Soares, Carlos & Lessa, Guilherme C., 2017. "A numerical tidal stream energy assessment study for Baía de Todos os Santos, Brazil," Renewable Energy, Elsevier, vol. 107(C), pages 271-287.
    8. 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.
    9. 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.
    10. Xue, Jingjing & Ahmadian, Reza & Jones, Owen, 2020. "Genetic Algorithm in Tidal Range Schemes’ Optimisation," Energy, Elsevier, vol. 200(C).
    11. Mackinnon, Kathryn & Smith, Helen C.M. & Moore, Francesca & van der Weijde, Adriaan H. & Lazakis, Iraklis, 2018. "Environmental interactions of tidal lagoons: A comparison of industry perspectives," Renewable Energy, Elsevier, vol. 119(C), pages 309-319.
    12. 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.
    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. Lewis, M.J. & Angeloudis, A. & Robins, P.E. & Evans, P.S. & Neill, S.P., 2017. "Influence of storm surge on tidal range energy," Energy, Elsevier, vol. 122(C), pages 25-36.
    15. 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.
    16. 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.
    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).

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