Investigation on the Blade Number of Pico-scale Crossflow Turbine for Low Head by Numerical Method

Dendy Adanta, Ilham Saputra, Dewi Puspita Sari, Imam Syofii, Ismail Thamrin, Irsyadi Yani, Anthony Costa, Akbar Teguh Prakoso, Ahmad Fudholi, Wadirin
{"title":"Investigation on the Blade Number of Pico-scale Crossflow Turbine for Low Head by Numerical Method","authors":"Dendy Adanta, Ilham Saputra, Dewi Puspita Sari, Imam Syofii, Ismail Thamrin, Irsyadi Yani, Anthony Costa, Akbar Teguh Prakoso, Ahmad Fudholi, Wadirin","doi":"10.37934/arfmts.118.2.112","DOIUrl":null,"url":null,"abstract":"Pico-scale crossflow turbines (CFT) can be an alternative solution to meet electrical energy needs, especially in remote rural areas. CFT is recommended because of its suitability in low head (< 5 m) conditions and fluctuating discharge conditions. One of the parameters that influences the performance of a CFT is the number of blades of the runner. CFT was discovered in 1903 and is still developing; however, the study of the physical phenomena of flow due to the blade number on the energy conversion process has yet to be comprehensively depicted. Therefore, this study aims to analyze the effect of the blade's number of runners on CFT performance using the computational fluid dynamics (CFD) method. The CFD method can visualize the flow field more detail than analytical and experimental. The CFD method is run with a moving mesh feature (transient) and pressure-based solver with a head condition of 3 m. The blades number studied were 16, 18, 22, 24, 26, and 30. Based on the results, the relationship of the CFT efficiency to blade number is described using a second-order multiple regression polynomial, and runner rotation is parabolic. Based on the performance curve, the CFT with 26 blades has the highest performance for low-head conditions.","PeriodicalId":37460,"journal":{"name":"Journal of Advanced Research in Fluid Mechanics and Thermal Sciences","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Advanced Research in Fluid Mechanics and Thermal Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37934/arfmts.118.2.112","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Chemical Engineering","Score":null,"Total":0}
引用次数: 0

Abstract

Pico-scale crossflow turbines (CFT) can be an alternative solution to meet electrical energy needs, especially in remote rural areas. CFT is recommended because of its suitability in low head (< 5 m) conditions and fluctuating discharge conditions. One of the parameters that influences the performance of a CFT is the number of blades of the runner. CFT was discovered in 1903 and is still developing; however, the study of the physical phenomena of flow due to the blade number on the energy conversion process has yet to be comprehensively depicted. Therefore, this study aims to analyze the effect of the blade's number of runners on CFT performance using the computational fluid dynamics (CFD) method. The CFD method can visualize the flow field more detail than analytical and experimental. The CFD method is run with a moving mesh feature (transient) and pressure-based solver with a head condition of 3 m. The blades number studied were 16, 18, 22, 24, 26, and 30. Based on the results, the relationship of the CFT efficiency to blade number is described using a second-order multiple regression polynomial, and runner rotation is parabolic. Based on the performance curve, the CFT with 26 blades has the highest performance for low-head conditions.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
用数值方法研究低水头微型贯流式涡轮机的叶片数
微型横流式水轮机(CFT)是满足电能需求的另一种解决方案,尤其是在偏远的农村地区。由于 CFT 适用于低水头(< 5 米)和波动的排放条件,因此被推荐使用。影响 CFT 性能的参数之一是转轮的叶片数量。CFT 于 1903 年被发现,目前仍在不断发展;然而,关于叶片数量对能量转换过程所产生的流动物理现象的研究尚未得到全面的描述。因此,本研究旨在利用计算流体动力学(CFD)方法分析叶片流道数量对 CFT 性能的影响。与分析和实验方法相比,CFD 方法可以更详细地直观显示流场。所研究的叶片数量分别为 16、18、22、24、26 和 30 片。根据结果,CFT 效率与叶片数的关系用二阶多元回归多项式来描述,流道旋转呈抛物线形。根据性能曲线,26 片叶片的 CFT 在低水头条件下性能最高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Advanced Research in Fluid Mechanics and Thermal Sciences
Journal of Advanced Research in Fluid Mechanics and Thermal Sciences Chemical Engineering-Fluid Flow and Transfer Processes
CiteScore
2.40
自引率
0.00%
发文量
176
期刊介绍: This journal welcomes high-quality original contributions on experimental, computational, and physical aspects of fluid mechanics and thermal sciences relevant to engineering or the environment, multiphase and microscale flows, microscale electronic and mechanical systems; medical and biological systems; and thermal and flow control in both the internal and external environment.
期刊最新文献
Synchronous Heat and Mass Transmission in MHD Ohmic Dissipative Viscous Fluid Flow Cavorted by an Upright Surface with Chemical Reaction Energy and Exergy Analysis of R600a as a Substitute for R134a in Automotive Air Conditioning System Exploration of Timber Dry and Wet Rot Defects in Buildings: Types, Causes, Effects and Mitigation Methods Investigating the Effects of Air Bubbles Injection Technique on the Cooling Time of Warm Drinking Water Preparation of TFC-PES Reverse Osmosis Hollow Fibre Membrane for Brackish Water Desalination
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1