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DOE OSTI · 3000563

Hydropower Biological Evaluation Toolset Best Practice Guide

Hou, Hongfei·Martinez, Jayson J.·Wang, Jingxian·Fu, Tao·Lu, Jun·Salalila, Aljon L.·Deng, Zhiqun
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Abstract

Field studies using live fish are necessary for the evaluation of turbine biological performance, but they cannot determine the specific hydraulic conditions or physical stresses experienced by the fish, the locations where deleterious conditions occur, or the specific causes of the biological response. Using the Sensor Fish (SF) sensing technology, this deficiency can be overcome because the SF can be released independently or concurrently with live fish directly into operating infrastructure, and it takes high-frequency measurements of hydraulic conditions such as pressure, acceleration, and rotation acting on a body in situ during downstream passage. The Hydropower Biological Evaluation Tools (HBET; Hou et al. 2018) software package, developed by Pacific Northwest National Laboratory (PNNL), is designed to assemble, organize, and process data collected by the PNNL-developed SF and by live fish. HBET was developed specifically to design SF field studies, process the raw data, and analyze the processed data efficiently and scientifically. Its objectives are to facilitate SF studies focused on characterizing hydraulic conditions and to apply SF data for evaluating the impacts on fish from passage through hydro-structures. HBET allows users to design new studies, analyze data, perform statistical analyses, and evaluate predicted biological responses. It can be used by researchers, turbine designers, hydropower operators, and regulators to evaluate hydro-structures to enhance environmental sustainability in a cost-effective manner.

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13 HYDRO ENERGY42 ENGINEERING59 BASIC BIOLOGICAL SCIENCESacoustic telemetryBioengineeringDamDecision Support SystemFish conservationFish ecologyfish friendly turbineFish InjuryFrancis turbineHBETHydropowersensor fishTurbineturbine evaluation

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Hou, Hongfei, Martinez, Jayson J., Wang, Jingxian, Fu, Tao, Lu, Jun, Salalila, Aljon L., Deng, Zhiqun. 2021-08-05. Hydropower Biological Evaluation Toolset Best Practice Guide. https://doi.org/10.2172/3000563

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