Blade Depth Investigation on Cross-flow Turbine by Numerical Method

D. Adanta, Richiditya Hindami, Budiarso, Warjito, A. I. Siswantara
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引用次数: 19

Abstract

In 2016, more than 1060 million people in the world lived in areas that are difficult to access, causing insufficient access to electricity. To overcome the problem, a pico hydro cross-flow turbine is considered to be a proper solution because it has a simple design, has few civil works, is easy to maintain, and can operate at a medium head with high variation of discharge. To increase the turbine's performance, this study aims to find the effect of blade depth on performance and to investigate the possibility of a cross-flow turbine being a reaction turbine. The CFD method was selected because it can represent the flow pattern in a turbine with more detail than other methods. The blade depth variation in this study consists of 0 mm, 3 mm, 6 mm and 9 mm, and the pressure inlet boundary conditions are varied with heads of 2.7 m and 5 m. The model turbulence RNG k-є standard has been used to predict turbulent flow. From the 2.7 m head, the average efficiency with the ratio U/V 0.42-0.5 produced by blade depth are: 0 mm is 41.9%, 3 mm is 45.8%, 6 mm is 34.4% and 9 mm is 36.7%. Meanwhile, the variations from the 5 m head are: 0 mm is 49.8%, 3 mm is 57.3%, 6 mm is 53.7% and 9 mm is 49.6%. A two-factor ANOVA without replication was performed to determine the relationship of blade depth to performance, and the results showed there is an effect because the F-critical was higher than F. In addition, the blade does not entirely convert the water's kinetic energy to power. Thus, the reaction turbine concept cannot be used in cross-flow turbines because there is no lift force produced by any blade in the two conditions.
横流涡轮叶片深度的数值研究
2016年,全球有超过10.6亿人生活在交通不便的地区,导致电力供应不足。为了解决这一问题,微型水轮机设计简单,土建工程少,维护方便,可以在流量变化大的中水头运行,因此被认为是一种合适的解决方案。为了提高涡轮的性能,本研究旨在寻找叶片深度对性能的影响,并探讨跨流涡轮作为反应涡轮的可能性。选择CFD方法是因为它比其他方法更能详细地表征涡轮内部的流态。本文叶片深度变化为0 mm、3 mm、6 mm和9 mm,压力进口边界条件在水头2.7 m和5 m时变化。紊流模型RNG k- k标准用于紊流预测。从2.7 m扬程来看,叶片深度随U/V 0.42 ~ 0.5的平均效率分别为:0 mm为41.9%,3 mm为45.8%,6 mm为34.4%,9 mm为36.7%。与5m水头相比,0 mm为49.8%,3 mm为57.3%,6 mm为53.7%,9 mm为49.6%。采用无重复的双因素方差分析来确定叶片深度与性能的关系,结果表明存在影响,因为f临界值高于f。此外,叶片并没有完全将水的动能转化为动力。因此,反力涡轮的概念不能用于横流涡轮,因为在这两种情况下,没有任何叶片产生升力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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