RETRACTED: Estimation of wind turbine wake effect by adaptive neuro-fuzzy approach (Retracted article. See vol. 61, pg. 95, 2018)

被引：11

作者：

Al-Shammari, Eiman Tamah ^{[1
]}

Amirmojahedi, Mohsen ^{[2
]}

Shamshirband, Shahaboddin ^{[3
]}

Petkovic, Dalibor ^{[4
]}

Pavlovic, Nenad T. ^{[4
]}

Bonakdari, Hossein ^{[5
]}

机构：

[1] Kuwait Univ, Dept Informat Sci, Coll Comp Sci & Engn, Kuwait, Kuwait

[2] Univ Malaya, Dept Civil Engn, Fac Engn, Kuala Lumpur 50603, Malaysia

[3] Univ Malaya, Fac Comp Sci & Informat Technol, Dept Comp Syst & Technol, Kuala Lumpur, Malaysia

[4] Univ Nis, Fac Mech Engn, Deparment Mechatron & Control, Nish 18000, Serbia

[5] Univ Razi, Dept Civil Engn, Kermanshah, Iran

来源：

FLOW MEASUREMENT AND INSTRUMENTATION | 2015年 / 45卷

关键词：

Wind turbine; Wake model; Wind speed; Neuro-fuzzy; ANFIS; LARGE-EDDY SIMULATION; INFERENCE SYSTEM; HORIZONTAL-AXIS; SPEED; ANFIS; PREDICTION; MODEL; OPTIMIZATION; PLACEMENT; TUNNEL;

D O I：

10.1016/j.flowmeasinst.2015.04.002

中图分类号：

TH [机械、仪表工业];

学科分类号：

120111 [工业工程];

摘要：

The grouping of turbines in large farms introduces that a wind turbine operating in the wake of another turbine and has a reduced power production because of a lower wind speed after rotor. The flow field in the wake behind the first row turbines is characterized by a significant deficit in wind velocity and increased levels of turbulence intensity. Consequently, the downstream turbines in a wind farm cannot extract as much power from the wind as the first row turbines. Therefore modeling wake effect is necessary because it has a great influence on the actual energy output of a wind farm. In this study, the adaptive neuro-fuzzy inference system (ANFIS) is designed and adapted to estimate wake effect in a wind farm according to wind turbine positions in wind farm, distances between turbines in the wind farm and rotor radius as well. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：1 / 6

页数：6

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