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Autor(en) / Beteiligte
Titel
Performance enhancement of a Wells turbine using CFD-optimization algorithms coupling
Ist Teil von
  • Energy (Oxford), 2023-11, Vol.282, p.128962, Article 128962
Ort / Verlag
Elsevier Ltd
Erscheinungsjahr
2023
Link zum Volltext
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • Wells turbine is a popular device for converting wave energy. The current work aims to maximize the power a Wells turbine generates using a response surface optimization method based on computational fluid dynamics (CFD). The ANSYS software's response surface optimization toolbox was employed in this investigation. The Wells turbine received a performance boost using the variable tip clearance design. Input parameters for the optimization technique included two variable tip clearance design parameters. The major objective of the optimization process was to maximize the torque coefficient (CT) of the Wells turbine. The results showed that the optimal design boosted the average and maximum torque coefficients of the modified Wells turbine by 37.31% and 76.16%, respectively. Furthermore, the improved turbine has a 33.33% wider operating range (OR) than the baseline. At φ equals 0.225, 0.250, and 0.275, the improved Wells turbine's efficiency rose by 19.53%, 71.67%, and 80.38%, respectively. Using the optimal design, 92.2% more power was generated from the modified Wells turbine. Based on a detailed flow analysis, the flow separation zone around the blade tip was reduced, and the optimal variable tip clearance design postponed the stall onset point. [Display omitted] •A variable tip clearance design is proposed for the Wells turbine to improve its performance.•Optimization procedure maximizes the improved Wells turbine torque coefficient.•The operating range is increased by 33.33%, and the stall inception point is delayed.•The maximum torque coefficient and the average torque coefficient (CTav) are increased.•The power generated by an optimum Wells turbine is enhanced by 92.2%.
Sprache
Englisch
Identifikatoren
ISSN: 0360-5442
DOI: 10.1016/j.energy.2023.128962
Titel-ID: cdi_crossref_primary_10_1016_j_energy_2023_128962

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