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Design of tidal range energy generation schemes using a Genetic Algorithm model

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  • Xue, Jingjing
  • Ahmadian, Reza
  • Jones, Owen
  • Falconer, Roger A.

Abstract

One of the key aspects of Tidal Range Schemes globally is identifying the most appropriate site and the optimised design and operation of the scheme, to maximise societal needs and the benefits from electricity generation. Variations in the design parameters of Tidal Range Schemes for electricity generation could therefore lead to a very large number of design and operation scenarios. In this study, a novel Genetic Algorithm model was developed to deliver the complete design of the most optimised Tidal Range Schemes for electricity generation, including the number of turbines, sluicing areas and the maximum amount of electricity that could be generated, through identifying the most optimised operation scheme for a particular site. The Genetic Algorithm model has been used to design a new Tidal Range Scheme proposed for development in the Bristol Channel, UK, with a potential to generate about 7.16 TWh/yr. The design of the scheme was also investigated using a traditional grid search approach for a range of scenarios, together with the model being used to investigate the performance of the complete design of the scheme, evaluated through a comparison of the most optimised design in terms of electricity generation. This comparison has shown that the Genetic Algorithm model was capable of achieving largely the same outcomes and reducing the computational time by approximately 95% to that based on using traditional Grid Search methods.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:appene:v:286:y:2021:i:c:s0306261921000647
    DOI: 10.1016/j.apenergy.2021.116506
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    References listed on IDEAS

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    1. Jingjing Xue & Reza Ahmadian & Roger A. Falconer, 2019. "Optimising the Operation of Tidal Range Schemes," Energies, MDPI, vol. 12(15), pages 1-23, July.
    2. 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.
    3. Xue, Jingjing & Ahmadian, Reza & Jones, Owen, 2020. "Genetic Algorithm in Tidal Range Schemes’ Optimisation," Energy, Elsevier, vol. 200(C).
    4. 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.
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    6. 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.
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    11. 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.
    12. Ahmadian, Reza & Falconer, Roger A., 2012. "Assessment of array shape of tidal stream turbines on hydro-environmental impacts and power output," Renewable Energy, Elsevier, vol. 44(C), pages 318-327.
    13. Xia, Junqiang & Falconer, Roger A. & Lin, Binliang & Tan, Guangming, 2012. "Estimation of annual energy output from a tidal barrage using two different methods," Applied Energy, Elsevier, vol. 93(C), pages 327-336.
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    Cited by:

    1. 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).
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    3. Yin, Linfei & Cao, Xinghui & Liu, Dongduan, 2023. "Weighted fully-connected regression networks for one-day-ahead hourly photovoltaic power forecasting," Applied Energy, Elsevier, vol. 332(C).
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    5. 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).
    6. 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.

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