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Estimation of annual energy output from a tidal barrage using two different methods

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  • Xia, Junqiang
  • Falconer, Roger A.
  • Lin, Binliang
  • Tan, Guangming

Abstract

In recent years, there have been growing international challenges relating to climate change and global warming, with a conflict developing between the need to create a low-carbon economy and rapid depleting reserves of fossil fuels. In addition to these challenges there continues to be the added complexity of a significant global increase in energy demand. Marine renewable energy from tidal barrages is carbon-free and has the potential to make a significant contribution to energy supplies now and in the future. Therefore, it is appropriate to evaluate the total energy that can be extracted from such barrages. In this study two different methods are proposed to estimate the total annual energy output from a barrage, including a theoretical estimation based on the principle associated with tidal hydrodynamics, and a numerical estimation based on the solutions obtained from a 2D hydrodynamic model. The proposed Severn Barrage in the UK was taken as a case study, and these two methods were applied to estimate the potential annual energy output from the barrage. The predicted results obtained using the two methods indicate that the magnitude of the annual energy output would range from 13 to 16TWh, which is similar to the value of 15.6TWh reported by the Department of Energy and Climate Change, in the UK. Further investigations show that the total annual energy output would increase by about 15% if a higher discharge coefficient were to be adopted for the sluice gates, or if the turbine performance were to be improved. However, the estimated annual energy output could exceed the value of 16TWh if future technological advances in both sluice gate construction and turbine performance are included.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:93:y:2012:i:c:p:327-336
    DOI: 10.1016/j.apenergy.2011.12.049
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    References listed on IDEAS

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    Cited by:

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    7. 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.
    8. 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.
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    10. 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.
    11. 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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    14. 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.
    15. Park, Young Hyun, 2017. "Analysis of characteristics of Dynamic Tidal Power on the west coast of Korea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 461-474.
    16. 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).
    17. 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.
    18. Faridnia, N. & Habibi, D. & Lachowicz, S. & Kavousifard, A., 2019. "Optimal scheduling in a microgrid with a tidal generation," Energy, Elsevier, vol. 171(C), pages 435-443.
    19. 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.
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