Oceans'11 MTS/Ieee Kona 2011
DOI: 10.23919/oceans.2011.6107131
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A constrained optimisation process for the design of tidal turbine blades with experimental validation

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Cited by 4 publications
(4 citation statements)
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“…Research in the field of blade designs and design methodologies for overspeed control has been undertaken and presented in such papers as [9,12,13,14,15] which discuss and work to mitigate some of the issues discussed. A primary focus for blade development in these projects has been controlling the thrust forces as the tidal velocity increases.…”
Section: The Overspeed Methodsmentioning
confidence: 99%
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“…Research in the field of blade designs and design methodologies for overspeed control has been undertaken and presented in such papers as [9,12,13,14,15] which discuss and work to mitigate some of the issues discussed. A primary focus for blade development in these projects has been controlling the thrust forces as the tidal velocity increases.…”
Section: The Overspeed Methodsmentioning
confidence: 99%
“…As Eqs. (12) and (13) show, if the minimum negative p lr on a blade section is equal to p v , then σ r will be equal to the minimum negative value of C presr . Therefore, an inception cavitation number can be defined as…”
Section: Methods Of Cavitation Analysismentioning
confidence: 99%
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“…In particular, the rotor configuration was reconsidered and the turbine blades were redesigned. Following a ‘systemic approach’ as it was done in [12], the novel turbine blade design method presented in this paper aims to improve the performance of the GEMSTAR configuration, searching for an optimised blade geometry at the design point while meeting the requirements of the fixed pitch – variable speed control strategy adopted for the generator coupling. In comparison to previous works, the paper presents an alternative approach to the blade aerodynamic design, developing a design procedure based on the blade element theory and adjusted for the specific issues of coupling the fixed‐pitch configuration and the de‐fluxing control strategy.…”
Section: Introductionmentioning
confidence: 99%