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Improved Wells Turbine using a Concave Sectional Profile
Sharif University of Technology.ORCID iD: 0000-0003-3973-942X
Sharif University of Technology.ORCID iD: 0000-0002-8193-6649
Sharif University of Technology. (Aerospace Research Institute, Ministry of Science and Technology)
KTH, School of Industrial Engineering and Management (ITM), Materials Science and Engineering. Shahid Bahonar University of Kerman.ORCID iD: 0000-0002-5976-2697
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(English)Manuscript (preprint) (Other academic)
Abstract [en]

The current need to develop sustainable power sources has led to the development of ocean-based conversion systems. Wells turbine is a widely used converter in such systems which suffers from a lack of operational range and power production capacity under operational conditions. The profile named IFS which is concave in the post-mid-chord region, can produce significantly larger lift forces and show better separation behavior than the NACA profiles. In the present study, we tested this profile for the first time in a Wells turbine. The performance of six different blade designs with IFS and NACA profiles were evaluated and compared using a validated computational fluid dynamic model. Although the substitution of the NACA profile with the IFS profile in all cases increased the torque generated, the most efficient power generation and the largest efficient range were achieved in the design with varying thickness from the hub with a 0.15 thickness ratio reaching to the ratio of 0.2 at the tip. The operational span of this design with the IFS profile was 24.1% greater and the maximum torque generation was 71% higher than the case with the NACA profile. Therefore, the use of the IFS profile is suggested for further study and practical trials.

Keywords [en]
Wells turbine, oscillating water column, wave energy converter, computational fluid dynamics
National Category
Fluid Mechanics and Acoustics Energy Engineering Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Applied and Computational Mathematics, Numerical Analysis; Civil and Architectural Engineering, Fluid and Climate Theory
Identifiers
URN: urn:nbn:se:kth:diva-293870DOI: 10.20944/preprints202010.0045.v1OAI: oai:DiVA.org:kth-293870DiVA, id: diva2:1548860
Note

QC 20210506

Available from: 2021-05-03 Created: 2021-05-03 Last updated: 2022-06-25Bibliographically approved

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fulltext(2215 kB)283 downloads
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Publisher's full texthttps://www.preprints.org/manuscript/202010.0045/v1

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Saffari Pour, MohsenHulme-Smith, Christopher

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Valizadeh, RezaAbbaspour, MadjidSaffari Pour, MohsenHulme-Smith, Christopher
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