Rationality research of the adjustment law for the blade pitch angle of H-type vertical-axis wind turbines
Lijun Zhang,
Jiawei Gu,
Huaibao Zhu,
Kuoliang Hu,
Xiang Li,
Liuyang Jiao,
Junjie Miao,
Jing Liu and
Zhiwei Wang
Renewable Energy, 2021, vol. 167, issue C, 484-496
Abstract:
Pitch angle greatly affects the performance of VAWT. Aiming at the maximum value of CT, this study first obtains the theoretical optimal angles of attack, i.e., 17.7° and −18.4° in upwind and downwind zones. A 2.5D model is simulated using Fluent to determine the magnitude and direction of induced velocity, and an initial pitch angle adjustment law is obtained combining the proposed local TSR. Compared with a prototype wind turbine, CP is increased by 2.69% after applying the initial adjustment law. The fitting curve angle δ at the abrupt part of pitch angle is analyzed. The smaller the angle δ is, the more evident the performance improvement of VAWT becomes. CP is increased by 11.68% when the angle is δ = 0°. On this basis, the adjustment law corresponding to δ = 0° of 100°Keywords: Local tip speed ratio (local TSR); Optimal angle of attack; Output power coefficient; Pitch angle adjustment law; Vertical-axis wind turbine (VAWT) (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148120318565
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:167:y:2021:i:c:p:484-496
DOI: 10.1016/j.renene.2020.11.104
Access Statistics for this article
Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides
More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().