Analytical wake model of tidal current turbine

Lam, W.H. and Chen, L. and Hashim, Roslan (2015) Analytical wake model of tidal current turbine. Energy, 79. pp. 512-521. ISSN 0360-5442, DOI

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Prediction of the wake structure is important to understand the lee flow of a tidal current turbine. The proposed analytical wake model consists of several equations derived from the theoretical works of a ship propeller jet. Axial momentum theory was used to predict the minimum velocity at the immediate plane of the lee wake and followed by the proposed recovery equation to determine the minimum velocity at various lateral sections along the rotation axis. Gaussian probability distribution was used to predict the velocity distribution of lateral sections in a wake. Entire wake is able to be illustrated through the calculation of the efflux equation, recovery equation and lateral distribution equations. Authors' previous works proposed a simplified one-dipped velocity profile and this works were being extended to predict the two-dipped velocity profile with the consideration of hub effects. The wake model is validated by using the well-accepted experimental measurements and the goodness-of-fit test. The results demonstrated that the wake model is able to predict the wake profile under various ambient turbulence conditions of TI (turbulence intensity) = 3, 5, 8 and 15. (C) 2014 Elsevier Ltd. All rights reserved.

Item Type: Article
Funders: Ministry of Higher Education Malaysia under the UM/MOHE High Impact Research H-1600-00-D000047 UM.C/HIR/MOHE/ENG/34, University of Malaya under the UM/MOHE High Impact Research H-1600-00-D000047 UM.C/HIR/MOHE/ENG/34, National Key Basic Research Program of China (973) 2014CB046800
Additional Information: Ca5oz Times Cited:0 Cited References Count:21
Uncontrolled Keywords: Tidal-current turbine; Efflux velocity; Wake
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering
Depositing User: Mr Jenal S
Date Deposited: 03 Sep 2015 03:31
Last Modified: 31 May 2019 05:22

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