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Optimization of electricity generation of a tidal power plant with reservoir constraints

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  • Leite Neto, Pedro B.
  • Saavedra, Osvaldo R.
  • Souza Ribeiro, Luiz A.

Abstract

Due to environmental constraints, multiple use of water, and other reasons of socioeconomic nature, it is not always possible to fully exploit the theoretical energy potential of an estuary. In this work, a methodology to maximize the total energy generated by a tidal power plant with reservoir constraints is presented. Through modeling components and tide cycles, an optimal dispatch of the turbines during the generation process is performed, considering a one-year horizon for the case of simple-effect operation. As a case study, we considered the estuary Bacanga, located in the urban area of São Luís, Maranhão, Brazil. From the results obtained, it can be concluded that with an optimal dispatch of turbines during the generation process it is possible to obtain a significant gain. Therefore, the methodology presented in this work can be considered as a viable alternative to increase the tidal hydroelectric power generation with constrained reservoir, as it is the case of Bacanga estuary.

Suggested Citation

  • Leite Neto, Pedro B. & Saavedra, Osvaldo R. & Souza Ribeiro, Luiz A., 2015. "Optimization of electricity generation of a tidal power plant with reservoir constraints," Renewable Energy, Elsevier, vol. 81(C), pages 11-20.
  • Handle: RePEc:eee:renene:v:81:y:2015:i:c:p:11-20
    DOI: 10.1016/j.renene.2015.03.011
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    References listed on IDEAS

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    1. Aggidis, G.A. & Feather, O., 2012. "Tidal range turbines and generation on the Solway Firth," Renewable Energy, Elsevier, vol. 43(C), pages 9-17.
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    Citations

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    Cited by:

    1. 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.
    2. Milad Shadman & Mateo Roldan-Carvajal & Fabian G. Pierart & Pablo Alejandro Haim & Rodrigo Alonso & Corbiniano Silva & Andrés F. Osorio & Nathalie Almonacid & Griselda Carreras & Mojtaba Maali Amiri &, 2023. "A Review of Offshore Renewable Energy in South America: Current Status and Future Perspectives," Sustainability, MDPI, vol. 15(2), pages 1-34, January.
    3. 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.
    4. Xue, Jingjing & Ahmadian, Reza & Jones, Owen, 2020. "Genetic Algorithm in Tidal Range Schemes’ Optimisation," Energy, Elsevier, vol. 200(C).
    5. Antonio Barragán-Escandón & Julio Terrados-Cepeda & Esteban Zalamea-León, 2017. "The Role of Renewable Energy in the Promotion of Circular Urban Metabolism," Sustainability, MDPI, vol. 9(12), pages 1-29, December.
    6. Cuadra, L. & Salcedo-Sanz, S. & Nieto-Borge, J.C. & Alexandre, E. & Rodríguez, G., 2016. "Computational intelligence in wave energy: Comprehensive review and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1223-1246.
    7. Mayke Feitosa Progênio & Claudio José Cavalcante Blanco & Josias Silva Cruz & Felipe Antônio Melo Costa Filho & André Luiz Amarante Mesquita, 2021. "Environmental impact index for tidal power plants in amazon region coast," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(7), pages 10814-10830, July.
    8. 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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