Hydraulic and biological characterization of a large Kaplan turbine

RENEWABLE ENERGY

卷:131

Article

Martinez, J. J.¹  Deng, Z. D.^1,3  Titzler, P. S.¹  Duncan, J. P.¹  Lu, J.¹  Mueller, R. P.¹  Tian, C.¹  Trumbo, B. A.²  Ahmann, M. L.²  Renholds, J. F.² 

[1] Pacific Northwest Natl Lab, POB 999, Richland, WA 99332 USA

[2] US Army, Corps Engineers, 201 N Third Ave, Walla Walla, WA 99362 USA

[3] Virginia Tech, Dept Mech Engn, 311 Durham Hall, Blacksburg, VA 24061 USA

关键词: Sensor fish;    Kaplan turbine;    Hydraulic characterization;    Turbine evaluation;    Fish friendly;    Turbine replacement;   

DOI  :  10.1016/j.renene.2018.07.034

来源: Elsevier

【 摘 要 】

One of the most cost-effective and environmentally sound methods of developing hydropower is through the uprating of hydroelectric turbines. In many countries hydroelectric dams have turbines that are approaching their expected service life, with plans underway to install replacement turbines that are expected to improve fish passage survival. To validate these improvements, there is a need to develop a baseline hydraulic characterization of existing Kaplan turbines. An autonomous sensor device known as the Sensor Fish was deployed at Ice Harbor Dam to characterize the hydraulics under different operating conditions. Nadir pressures varied by operating condition, with values decreasing with operating power (144-106 kPaA). Pressure changes during turbine passage varied by operating condition, with values increasing with operating power (311-344 kPa). There were slightly more significant events (acceleration >= 95G) in the stay vane/wicket gate region than the runner region. Rotational velocity data were similar between operating conditions. Sensor Fish data amassed during field studies in similar turbines were used for comparison. This study offers critical insights into the biological performance of large Kaplan turbines and provides vital information that can be used to make informed decisions that lead to additional design or operational improvements. (C) 2018 Elsevier Ltd. All rights reserved.

【 授权许可】

Free