Experimental Studies of Performance Savonius Wind Turbine with Variation Layered Multiple Blade

Author:

Kurniawan Y,Tjahjana D D D P,Santoso B

Abstract

Abstract The solution to various environmental problems now is the development of renewable energy. One of the renewable energy that was sociable to the environment and easily obtained is wind energy. Savonius wind turbines are proper to be applied in Indonesia which have low wind speeds, besides that Savonius also has many advantages over other wind turbines. In this paper experimental study is done a study on conventional Savonius wind turbine and modified Savonius wind turbine by added multiple layer 90°, 115°, 135° at positions 0° and 30°. The schematic supportive testing is done by blower fan. The wind speed used in testing with a range of 4.99 m/s to 7.27 m/s. The test results showed that the addition of multiple layers could be increased Savonius’s power coefficient to 17.6%. The maximum power coefficient obtained by Savonius turbine was 0.120 with variations multiple layer 90° at 0° position. So, the addition of multiple layer can be improved the performance of the Savonius wind turbine

Publisher

IOP Publishing

Subject

General Engineering

Reference24 articles.

1. A Critical Review of Vertical Axis Wind Turbines for Urban Applications;Kumar;Renewable Sustain Energy Rev.,2018

2. Study of Static and Dynamic Performances of Miniature Savonius-type Wind Energy Harvesters;Han;Energy Procedia,2017

3. Kajian Potensi Angin untuk Pembangkit Listrik Tenaga Bayu;Daryanto,2007

4. Studi Eksperimental Pengaruh Jumlah Sudu Terhadap Unjuk Kerja Turbin Angin Crossflow;Kurniawan,2018

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3