Performance optimization of a very low head (VLH) axial turbine using surrogate model
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DOI: 10.1016/j.renene.2024.120714
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- Sotoude Haghighi, M.H. & Mirghavami, S.M. & Chini, S.F. & Riasi, A., 2019. "Developing a method to design and simulation of a very low head axial turbine with adjustable rotor blades," Renewable Energy, Elsevier, vol. 135(C), pages 266-276.
- Loots, I. & van Dijk, M. & Barta, B. & van Vuuren, S.J. & Bhagwan, J.N., 2015. "A review of low head hydropower technologies and applications in a South African context," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1254-1268.
- Sotoude Haghighi, Mohammad Hadi & Mirghavami, Seyed Mohammad & Ghorani, Mohammad Mahdi & Riasi, Alireza & Chini, Seyed Farshid, 2020. "A numerical study on the performance of a superhydrophobic coated very low head (VLH) axial hydraulic turbine using entropy generation method," Renewable Energy, Elsevier, vol. 147(P1), pages 409-422.
- Botelho, Anabela & Ferreira, Paula & Lima, Fátima & Pinto, Lígia M. Costa & Sousa, Sara, 2017. "Assessment of the environmental impacts associated with hydropower," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 896-904.
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Keywords
VLH turbine; CFD; Surrogate modeling; Optimization; Evolutionary algorithm;All these keywords.
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