A Hydropower Biological Evaluation Toolset (HBET) for Characterizing Hydraulic Conditions and Impacts of Hydro-Structures on Fish

Approximately 16% of the world’s electricity and over 80% of the world’s renewable electricity is generated from hydropower resources, and there is potential for developing significantly more new hydropower capacity. In practice, however, optimizing the use of potential hydropower resources is limited by various factors, including environmental effects and related mitigation requirements. That is why hydropower regulatory requirements frequently call for targets to be met regarding fish injury and mortality rates. The sensor fish (SF) is a small autonomous sensor package that can be deployed through complex hydraulic structures, such as a turbine or spillway, to collect high resolution measurements that describe the forces and motions that live fish would encounter. The Hydropower Biological Evaluation Toolset (HBET), an integrated suite of science-based tools, is designed to use the SF (implemented) and other tools (to be implemented in the future) to characterize the hydraulic conditions of hydropower structures and provide quantitative estimates of fish injury and mortality rates resulting from exposure to various physical stressors including strike, pressure, and shear. HBET enables users to design new studies, analyze data, perform statistical analyses, and evaluate biological responses. It can be used by researchers, turbine designers, hydropower operators, and regulators to design and operate hydropower systems that minimize ecological impacts in a cost-effective manner. In this paper, we discuss the technical methodologies and algorithms implemented in HBET and describe a case study that illustrates its functionalities.

[1]  Hongfei Hou,et al.  Assessing hydraulic conditions through Francis turbines using an autonomous sensor device , 2016 .

[2]  T J Carlson,et al.  Design and implementation of a new autonomous sensor fish to support advanced hydropower development. , 2014, The Review of scientific instruments.

[3]  Brenda M. Pracheil,et al.  A fish-eye view of riverine hydropower systems: the current understanding of the biological response to turbine passage , 2016, Reviews in Fish Biology and Fisheries.

[4]  Gene R. Ploskey,et al.  Fish Passage Assessment of an Advanced Hydropower Turbine and Conventional Turbine Using Blade-Strike Modeling , 2011 .

[5]  M. Richmond,et al.  A comparison of metrics to evaluate the effects of hydro-facility passage stressors on fish , 2017 .

[6]  Martin Mallen-Cooper,et al.  Understanding Barotrauma in Fish Passing Hydro Structures: A Global Strategy for Sustainable Development of Water Resources , 2014 .

[7]  T. Carlson,et al.  Maximum Neutral Buoyancy Depth of Juvenile Chinook Salmon: Implications for Survival during Hydroturbine Passage , 2012 .

[8]  Joanne P. Duncan,et al.  Use of an autonomous sensor to evaluate the biological performance of the advanced turbine at Wanapum Dam , 2010 .

[9]  John R. Skalski,et al.  Migration depth and residence time of juvenile salmonids in the forebays of hydropower dams prior to passage through turbines or juvenile bypass systems: implications for turbine-passage survival , 2015, Conservation physiology.

[10]  Joanne P. Duncan,et al.  Six-Degree-of-Freedom Sensor Fish Design and Instrumentation , 2007, Sensors.

[11]  Craig A. McKinstry,et al.  Response relationships between juvenile salmon and an autonomous sensor in turbulent flow , 2009 .

[12]  John R. Skalski,et al.  Quantifying Mortal Injury of Juvenile Chinook Salmon Exposed to Simulated Hydro-Turbine Passage , 2012 .

[13]  John A. Serkowski,et al.  Quantifying Barotrauma Risk to Juvenile Fish during Hydro-turbine Passage , 2014 .

[14]  R. Cushman Review of Ecological Effects of Rapidly Varying Flows Downstream from Hydroelectric Facilities , 1985 .

[15]  Glenn F. Cada,et al.  The Development of Advanced Hydroelectric Turbines to Improve Fish Passage Survival , 2001 .

[16]  R. Mueller,et al.  Evaluation of Boundary Dam spillway using an Autonomous Sensor Fish Device , 2017 .

[17]  G. Johnson,et al.  Sluiceway Operations for Adult Steelhead Downstream Passage at The Dalles Dam, Columbia River, USA , 2013 .

[18]  L. Baumgartner,et al.  A piecewise regression approach for determining biologically relevant hydraulic thresholds for the protection of fishes at river infrastructure. , 2016, Journal of fish biology.