Effect of Runner Position on Performance for Open Type Cross-Flow Turbine Utilizing Waterfalls

2014 ◽  
Vol 8 (6) ◽  
pp. 1012
Author(s):  
Yusuke Katayama ◽  
Shouichiro Iio ◽  
Salisa Veerapun
Keyword(s):  
Cross Flow ◽  
Open Type

1018 Evaluation of correlation between blade angle and flow pattern in an open type cross-flow turbine

2013 ◽  
Vol 2013 (0) ◽  
pp. _1018-01_-_1018-02_
Author(s):  
Yusuke KATAYAMA ◽  
Kaika KIMOTO ◽  
Shouichiro IIO ◽  
Toshihiko IKEDA
Keyword(s):  
Flow Pattern ◽  
Cross Flow ◽  
Blade Angle ◽  
Open Type

Study on Open Cross-Flow Runner for Environmentally Friendly Nano-Hydraulic Turbine Utilizing Waterfall (Influence of Waterfall Thickness on the Runner Performance)

2011 ◽  
Author(s):  
Masahiro Yamazaki ◽  
Shingo Oike ◽  
Shouichiro Iio ◽  
Toshihiko Ikeda
Keyword(s):  
Power Generation ◽  
Flow Rate ◽  
Flow Condition ◽  
Great Influence ◽  
Cross Flow ◽  
Environmentally Friendly ◽  
Hydraulic Turbine ◽  
Open Type ◽  
Low Head

The aim of this investigation is to develop an open type cross-flow runner for environmentally friendly nano-hydraulic turbine utilizing extremely low head waterfalls. The waterfall condition is strongly affected by weather, so flow rate changes frequently. It causes a decrease in runner performance because it does not have any flow adjusting mechanisms. It is, therefore, important to evaluate the runner performance against the change of flow condition for stable power generation. This study focused on the influence of waterfall flowing position and its thickness on the runner performance. An open type cross-flow runner was applied for waterfall generation. As a result, we found that the runner characteristic varied with the waterfall condition. In particular, the waterfall thickness has great influence on the runner performance. The value of CPmax reaches the highest value of 0.61 at Q = 3.0×10−3 m3/s.

Intrakranieller Cross-flow als prognostischer Faktor für einen frischen Infarkt im MRT nach Carotis-TEA

2007 ◽  
Vol 34 (S 2) ◽  
Author(s):  
H Soda ◽  
A Zormann ◽  
A Agaev ◽  
G Christopoulos ◽  
H Schweiger ◽  
...  
Keyword(s):  
Cross Flow ◽  
Prognostischer Faktor
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