Computational and experimental investigation of runner for gravitational water vortex power plant

2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA) Pub Date : 2017-11-01 DOI:10.1109/ICRERA.2017.8191087

Rabin Dhakal, T. Bajracharya, S. Shakya, B. Kumal, K. Khanal, S. Williamson, S. Gautam, D. P. Ghale

{"title":"Computational and experimental investigation of runner for gravitational water vortex power plant","authors":"Rabin Dhakal, T. Bajracharya, S. Shakya, B. Kumal, K. Khanal, S. Williamson, S. Gautam, D. P. Ghale","doi":"10.1109/ICRERA.2017.8191087","DOIUrl":null,"url":null,"abstract":"The gravitational water vortex power plant (GWVPP) is a new type of low head turbine system in which a channel and basin structure is used to form a vortex, where the rotational energy from the water can be extracted through a runner. This study is focused on the optimization of the runner to improve the efficiency of the GWVPP. Computational fluid dynamics (CFD) analysis is carried out on three different runner designs with straight, twisted and curved blade profiles. ANSYS CFX was used to analyze the fluid flow through the channel, basin, turbine hub and blade, and results were used to evaluate the efficiency of each of the runner designs. The CFD analysis showed curved blade profile to be the most efficient profile, with a peak efficiency of 82%, compared to 46% for the straight blade runner and 63% for the twisted blade version. An experimental test of the turbine system was carried out to validate the runner analysis, in a scale version of the GWVPP. The testing showed that the runner behaved as predicted from the CFD analysis, and had a peak efficiency point of 71% at 0.5m head.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"108 1","pages":"365-373"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"36","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRERA.2017.8191087","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 36

Abstract

The gravitational water vortex power plant (GWVPP) is a new type of low head turbine system in which a channel and basin structure is used to form a vortex, where the rotational energy from the water can be extracted through a runner. This study is focused on the optimization of the runner to improve the efficiency of the GWVPP. Computational fluid dynamics (CFD) analysis is carried out on three different runner designs with straight, twisted and curved blade profiles. ANSYS CFX was used to analyze the fluid flow through the channel, basin, turbine hub and blade, and results were used to evaluate the efficiency of each of the runner designs. The CFD analysis showed curved blade profile to be the most efficient profile, with a peak efficiency of 82%, compared to 46% for the straight blade runner and 63% for the twisted blade version. An experimental test of the turbine system was carried out to validate the runner analysis, in a scale version of the GWVPP. The testing showed that the runner behaved as predicted from the CFD analysis, and had a peak efficiency point of 71% at 0.5m head.

查看原文本刊更多论文

重力水涡电厂转轮的计算与实验研究

重力水涡电站是一种新型的低水头水轮机系统，它采用沟槽结构形成涡流，通过转轮提取水能。本研究的重点是优化转轮，以提高GWVPP的效率。计算流体力学(CFD)分析了三种不同的流道设计，包括直型、扭型和弯型。利用ANSYS CFX对流道、槽、涡轮轮毂和叶片的流体流动进行了分析，并利用分析结果对各流道设计的效率进行了评价。CFD分析表明，弯曲叶片是效率最高的叶片，峰值效率为82%，而直叶片流道的峰值效率为46%，扭曲叶片的峰值效率为63%。在GWVPP的规模版本中，对涡轮系统进行了实验测试以验证转轮分析。试验结果表明，该流道性能符合CFD分析预测，在0.5m水头处效率峰值为71%。

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分钟内获得全文求助全文

来源期刊

2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)

自引率

0.00%

发文量