arrow
Return

Darrieus vertical axis wind turbine: Basic research methods

delete2015-02-01
delete122
PRE
AI
金
金鑫 (Xin Jin) *
G
Gaoyuan Zhao
G
Gao Ke-jun
W
Wen‐Bin Ju
DOI:10.1016/j.rser.2014.10.021delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
Horizontal axis wind turbines (HAWTs) are the mainstream of wind power industry in the world; however, as turbines are becoming bigger, the maintenance of equipments grows more complex and costs much higher. Compared with HAWTs, Darrieus vertical axis wind turbines (VAWTs) have more technological advantages, providing an alternative for the wind power technology; hence Darrieus VAWTs are catching more eyes. Nevertheless, the majority of wind turbine design currently focuses on HAWTs, researches on Darrieus VAWTs have lagged significantly behind those on HAWTs, which have greatly hindered the development of VAWTs. Accordingly, this paper reviews the main basic research methods and their corresponding applications in Darrieus VAWTs, aiming to let more experts know the current research status and also provide some guidance for relevant researches. (C) 2014 Elsevier Ltd. All rights reserved.
Keywords:
Darrieus VAWT
Research methods
CFD
Aerodynamic theory
Experimental methods
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Renewable and Sustainable Energy Reviews cover
Renewable and Sustainable Energy Reviews
IF:
16.3
Papers:
1.6W
Citations:
18.5W

Organization

G
Georgia Institute of Technology
Scholars:
1.8W
Papers: 1.4W
Citations: 5.9W
C
Chongqing University
Scholars:
5.1W
Papers: 4.1W
Citations: 6.0W
U
university system of georgia
Scholars:
7.3W
Papers: 6.6W
Citations: 101
researcher View more organizations
Cited Papers

Cited Papers

Identification of mecciRNAs and their roles in the mitochondrial entry of proteins
err2020-01-21
err0
PREAI
errXu Liu; Xiaolin Wang; Jingxin Li; Shanshan Hu; Yuqi Deng; Hao Yin; Xichen Bao; Qiangfeng Cliff Zhang; Geng Wang; Baolong Wang; Qinghua Shi; Ge Shan
errShare
errSave
errShare
errSave
Ballast Mechanical Performance with and without Under Sleeper Pads
err2020-11-01
err0
errOAAI
errYunlong Guo; Jianxi Wang; Valeri Markine; Guoqing Jing
errShare
errSave
errShare
errSave
Improving network efficiency in wireless body area networks using dual forwarder selection technique
err2021-03-01
err0
PREAI
errHaseeb Ur Rahman; Anwar Ghani; Imran Khan; Naved Ahmad; S Vimal; Muhammad Bilal
errShare
errSave
researcher View more