Improvement in Savonius Wind Turbines Efficiency by Modification of Blade Designs—A Numerical Study

计算流体力学 雷诺平均Navier-Stokes方程 涡轮机 湍流 湍流模型 叶尖速比 风力发电 海洋工程 机械 机械工程 工程类 物理 电气工程
作者
Praveen Laws,Jaskaran Singh Saini,Ajit Kumar,Santanu Mitra
出处
期刊:Journal of Energy Resources Technology-transactions of The Asme [ASME International]
卷期号:142 (6) 被引量:27
标识
DOI:10.1115/1.4045476
摘要

Abstract Savonius wind turbines are special class of vertical axis wind turbines (VAWTs). These are low-cost drag-driven turbines and are known to be inefficient. It is proposed in this study that a simple modification to the turbine blade design can yield a significant improvement in power efficiency. The performance of the new design is extensively studied on openfoam-v1812, a popular open source computational fluid dynamics (CFD) library. The flow equations coupled with equations of rotation of the turbine are solved on an overset mesh framework. This study also serves as a validation of recently released overset support in openfoam. The turbulence is incorporated by coupling Reynolds-averaged Navier–Stokes (RANS) with shear stress transport (SST) κ − ω eddy viscosity turbulence model. The turbulence parameters are set to produce a flow with the Reynolds number, Re = 4.8 × 105. To have better confidence in simulations, this study also presents a comparison of numerical flow over conventional Savonius turbine designs with the published data. It is observed that a majority of CFD analysis on wind turbine designs are performed for the fixed tip speed ratio on a traditional static mesh structure. But, in this CFD study, a wind-driven rotation of Savonius turbine is simulated on an overset dynamics approach. The results of the study are compared and discussed based on the predicted moment and power coefficients, pressure variation on the blades, flow velocity field, and wake analysis. The study indicates that the blade design presented here has a potential to increase the power efficiency of a Savonius wind turbine by 10–28%.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
科研通AI2S应助科研通管家采纳,获得10
刚刚
盒子应助科研通管家采纳,获得10
刚刚
不配.应助科研通管家采纳,获得10
刚刚
FashionBoy应助科研通管家采纳,获得10
刚刚
刚刚
刚刚
刚刚
刚刚
orixero应助lily88采纳,获得10
1秒前
默默纲发布了新的文献求助30
1秒前
多情的续完成签到,获得积分10
2秒前
2秒前
2秒前
zhiruo完成签到,获得积分10
6秒前
停停走走发布了新的文献求助10
7秒前
易安发布了新的文献求助10
9秒前
9秒前
10秒前
乐观的乐松完成签到,获得积分20
11秒前
风趣夜云发布了新的文献求助10
12秒前
善学以致用应助停停走走采纳,获得10
12秒前
14秒前
Serein完成签到,获得积分10
15秒前
研友_nV2Npn发布了新的文献求助10
16秒前
北阳完成签到,获得积分10
18秒前
AAAstf完成签到 ,获得积分10
20秒前
yn发布了新的文献求助10
20秒前
坦率的剑身完成签到 ,获得积分10
20秒前
星离zjp发布了新的文献求助10
23秒前
FChen完成签到,获得积分10
25秒前
烟花应助苞米公主采纳,获得10
25秒前
不安的凡完成签到,获得积分10
26秒前
暗中观察完成签到,获得积分10
26秒前
大模型应助你眼带笑采纳,获得10
27秒前
上官若男应助哀泣魅影采纳,获得10
27秒前
28秒前
29秒前
NPC应助研友_nV2Npn采纳,获得20
29秒前
31秒前
风趣夜云发布了新的文献求助10
32秒前
高分求助中
The Oxford Handbook of Social Cognition (Second Edition, 2024) 1050
Kinetics of the Esterification Between 2-[(4-hydroxybutoxy)carbonyl] Benzoic Acid with 1,4-Butanediol: Tetrabutyl Orthotitanate as Catalyst 1000
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
юрские динозавры восточного забайкалья 800
English Wealden Fossils 700
Chen Hansheng: China’s Last Romantic Revolutionary 500
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3140687
求助须知:如何正确求助?哪些是违规求助? 2791513
关于积分的说明 7799229
捐赠科研通 2447844
什么是DOI,文献DOI怎么找? 1302096
科研通“疑难数据库(出版商)”最低求助积分说明 626439
版权声明 601194