Theoretical vertical-axis tidal-current-turbine wake model using axial momentum theory with CFD corrections

Yanbo Ma, Wei-Haur Lam, Yonggang Cui, Tianming Zhang, Jinxin Jang, Chong Sun, Jianhua Guo, Shuguang Wang, Su Shiung Lam, Gerard Hamill

Research output: Contribution to journalArticle

24 Citations (Scopus)
49 Downloads (Pure)

Abstract

The wake from a tidal current turbine has a significant impact on a tidal farm. A single turbine wake would affect the turbine located adjacent or downstream. Two equations are proposed to predict the mean velocity within the wake of a vertical-axis turbine. The first equation used to predict the efflux velocity is derived based on the axial momentum theory and dimensional analysis. Efflux velocity is the minimum velocity closest to the turbine downstream. The second equation used to predict the lateral velocity distribution is derived based on Gaussian probability distribution. The predictions are compared with the existing experimental and numerical results. Validation of the equations gives a variation in the range of 0–1.13% for the efflux velocity by comparing the proposed theoretical works and Dai and Lam’s experimental measurements. These equations are the foundation of the analytical method for wake prediction of a vertical-axis turbine.
Original languageEnglish
Pages (from-to)113-122
Number of pages10
JournalApplied Ocean Research
Volume79
Early online date03 Aug 2018
DOIs
Publication statusPublished - Oct 2018

Fingerprint

Momentum
Computational fluid dynamics
Turbines
Velocity distribution
Farms
Probability distributions

Cite this

Ma, Yanbo ; Lam, Wei-Haur ; Cui, Yonggang ; Zhang, Tianming ; Jang, Jinxin ; Sun, Chong ; Guo, Jianhua ; Wang, Shuguang ; Lam, Su Shiung ; Hamill, Gerard. / Theoretical vertical-axis tidal-current-turbine wake model using axial momentum theory with CFD corrections. In: Applied Ocean Research. 2018 ; Vol. 79. pp. 113-122.
@article{937ada133c8b44a7bd5bb136800147ff,
title = "Theoretical vertical-axis tidal-current-turbine wake model using axial momentum theory with CFD corrections",
abstract = "The wake from a tidal current turbine has a significant impact on a tidal farm. A single turbine wake would affect the turbine located adjacent or downstream. Two equations are proposed to predict the mean velocity within the wake of a vertical-axis turbine. The first equation used to predict the efflux velocity is derived based on the axial momentum theory and dimensional analysis. Efflux velocity is the minimum velocity closest to the turbine downstream. The second equation used to predict the lateral velocity distribution is derived based on Gaussian probability distribution. The predictions are compared with the existing experimental and numerical results. Validation of the equations gives a variation in the range of 0–1.13{\%} for the efflux velocity by comparing the proposed theoretical works and Dai and Lam’s experimental measurements. These equations are the foundation of the analytical method for wake prediction of a vertical-axis turbine.",
author = "Yanbo Ma and Wei-Haur Lam and Yonggang Cui and Tianming Zhang and Jinxin Jang and Chong Sun and Jianhua Guo and Shuguang Wang and Lam, {Su Shiung} and Gerard Hamill",
year = "2018",
month = "10",
doi = "10.1016/j.apor.2018.07.016",
language = "English",
volume = "79",
pages = "113--122",
journal = "Applied Ocean Research",
issn = "0141-1187",
publisher = "Elsevier BV",

}

Theoretical vertical-axis tidal-current-turbine wake model using axial momentum theory with CFD corrections. / Ma, Yanbo; Lam, Wei-Haur; Cui, Yonggang; Zhang, Tianming; Jang, Jinxin ; Sun, Chong; Guo, Jianhua; Wang, Shuguang; Lam, Su Shiung; Hamill, Gerard.

In: Applied Ocean Research, Vol. 79, 10.2018, p. 113-122.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Theoretical vertical-axis tidal-current-turbine wake model using axial momentum theory with CFD corrections

AU - Ma, Yanbo

AU - Lam, Wei-Haur

AU - Cui, Yonggang

AU - Zhang, Tianming

AU - Jang, Jinxin

AU - Sun, Chong

AU - Guo, Jianhua

AU - Wang, Shuguang

AU - Lam, Su Shiung

AU - Hamill, Gerard

PY - 2018/10

Y1 - 2018/10

N2 - The wake from a tidal current turbine has a significant impact on a tidal farm. A single turbine wake would affect the turbine located adjacent or downstream. Two equations are proposed to predict the mean velocity within the wake of a vertical-axis turbine. The first equation used to predict the efflux velocity is derived based on the axial momentum theory and dimensional analysis. Efflux velocity is the minimum velocity closest to the turbine downstream. The second equation used to predict the lateral velocity distribution is derived based on Gaussian probability distribution. The predictions are compared with the existing experimental and numerical results. Validation of the equations gives a variation in the range of 0–1.13% for the efflux velocity by comparing the proposed theoretical works and Dai and Lam’s experimental measurements. These equations are the foundation of the analytical method for wake prediction of a vertical-axis turbine.

AB - The wake from a tidal current turbine has a significant impact on a tidal farm. A single turbine wake would affect the turbine located adjacent or downstream. Two equations are proposed to predict the mean velocity within the wake of a vertical-axis turbine. The first equation used to predict the efflux velocity is derived based on the axial momentum theory and dimensional analysis. Efflux velocity is the minimum velocity closest to the turbine downstream. The second equation used to predict the lateral velocity distribution is derived based on Gaussian probability distribution. The predictions are compared with the existing experimental and numerical results. Validation of the equations gives a variation in the range of 0–1.13% for the efflux velocity by comparing the proposed theoretical works and Dai and Lam’s experimental measurements. These equations are the foundation of the analytical method for wake prediction of a vertical-axis turbine.

U2 - 10.1016/j.apor.2018.07.016

DO - 10.1016/j.apor.2018.07.016

M3 - Article

VL - 79

SP - 113

EP - 122

JO - Applied Ocean Research

JF - Applied Ocean Research

SN - 0141-1187

ER -