Hydro Review: HydroPASSAGE: Advancing Hydropower for Fish and Industry

HydroPASSAGE project

The toolsets developed through the U.S. Department of Energy’s HydroPASSAGE project characterize the hydraulic conditions of hydropower structures and provide solutions to increase fish survival.

By Hongfei Hou, Rajesh Singh, Brett Pflugrath, Jayson Martinez, Tao Fu, Jun Lu, Alison Colotelo and Daniel Deng

Hydropower is the largest renewable energy source, accounting for about 60% of all renewable electricity globally.1 In the U.S., hydropower provides nearly 7% of the nation’s electricity and 52% of its renewable electricity generation,2 as well as supports about 87,000 jobs in project development and deployment, manufacturing, and operations and maintenance.3

Although hydropower is considered a clean energy source, these dams can still raise environmental concerns, including those related to potential adverse impacts on aquatic ecosystems. One such potential impact is the direct exposure of fish to hydraulic stressors while passing through hydropower facilities. Built upon more than 25 years of basic and applied research supported by the U.S. Department of Energy (DOE), the HydroPASSAGE project was created in 2014 to provide information and tools to increase fish survival through turbines and other hydropower structures throughout the U.S. and around the world. HydroPASSAGE has led to the development of hydropower turbines that have a much lower impact on fish — including some with predicted fish survival rates of over 99%.

HydroPASSAGE project

Of the more than 90,000 dams in the U.S., only more than 2,000 are used to produce hydroelectric power.4 These structures can significantly affect millions of fish, particularly migratory fish including salmon, American eel and American shad. Providing safe, timely and cost-effective downstream fish passage is a challenge for hydropower owners and operators. The HydroPASSAGE project is a research and development collaboration between engineers and biologists from DOE’s Pacific Northwest National Laboratory and Oak Ridge National Laboratory. The project has developed toolsets to help the hydropower industry mitigate environmental impacts on fish passage. These toolsets provide information that will assist in design, operation and evaluation of hydropower facilities that support healthy fish populations (see Figure 1). Biological response models have been developed and incorporated into the HydroPASSAGE toolsets to understand how fish are likely to respond when exposed to the hydraulic and physical stressors associated with turbines and other hydropower structures.

Figure 1: This graphic illustrates how to use the BioPA and HBET toolsets of the HydroPASSAGE project, for various users and actions.

HydroPASSAGE provides two science-based toolsets, the Biological Performance Assessment (BioPA) toolset and the Hydropower Biological Evaluation Toolset (HBET), to:

  • Collect data for evaluating baseline fish passage conditions,
  • Provide tools for evaluating the impacts of hydropower turbine designs and operation schemes for fish species of concern, and
  • Provide state-of-the-art information about the effects of turbines on fish.

The BioPA toolset informs the design and operation of hydropower turbines by relating computational fluid dynamics (CFD) models of hydraulic conditions to fish biological response models.5,6 HBET7 relates data collected by field-based sensors (e.g., Sensor Fish [described below])8 and acoustic telemetry9 to biological response models for downstream fish passage at hydropower facilities. These toolsets are flexible and customizable and include biological response data for more than 30 fish species (and can incorporate species studied in the future). They have been used at numerous hydropower facilities worldwide, including sites in the U.S., Australia, Canada, China, France, Laos, Netherlands, New Zealand and Switzerland.

Biological response

Biological response models are obtained from laboratory experiments that connect in-turbine physical stressors during turbine passage to impacts on fish, and they are integral to both BioPA and HBET.10 These models provide estimates of fish injury or mortality when exposed to various magnitudes of a particular stressor, including collision, rapid decompression and fluid shear (see Figure 2). The HydroPASSAGE project prioritized studies for U.S. species of conservation concern — like juvenile chinook salmon, adult American eel and juvenile American shad — which are known to be affected by turbine passage. Ninety-nine biological response models for exposure to blade strike, fluid shear or rapid decompression have been developed or collected from the literature, including models for 31 species of fish.

Figure 2: Descriptions of the three main stressors to which fish are likely to be exposed when passing through hydropower facilities.

Biological performance assessment toolset

BioPA5,6 estimates the relative risk of adverse effects that fish may experience during turbine passage. BioPA relates CFD models of hydraulic conditions to fish biological response models. This toolset evaluates the effect hydropower turbines will have on biological performance by providing a relative index score for fish injury and mortality. This score can then be used to compare turbine designs or evaluate the biological performance of an existing hydropower turbine under different operating conditions. Not only does this information allow for better-informed turbine designs and operations of turbines for fish passage, it also can help improve the efficiency of physical-scale model testing by reducing the test iterations.

The BioPA tool contains three components: CFD simulation, data preparation and evaluation of exposure to physical stressors and biological responses. BioPA uses directly computed trajectories of the fish and their collision/strike dynamics relative to various parts of a hydropower plant using particulate flow simulations (see Figure 3). The CFD simulations, using Lagrangian particle tracking methods, enable the computation of an estimated fish trajectory along with associated stressors. This allows the BioPA toolset to model and predict stressors for the evaluation of the biological performance of a hydropower plant.

Figure 3: This snapshot shows the particle motion and strike with the turbine runner in the hydropower facility. Hundreds of the particles were injected in the flow domain for the sampling of stressor variables used in the BioPA toolset.

Hydropower biological evaluation toolset

HBET is an integrated suite of science-based tools that has a user-friendly interface and a remotely accessible database to facilitate Sensor Fish studies focused on characterizing hydraulic conditions and to apply Sensor Fish data for evaluating the impacts on fish from passage through hydro-structures.7 It relates data collected by field-based sensors (e.g., Sensor Fish, acoustic telemetry) to biological response models for downstream fish passage at hydropower facilities. Using hydraulic characterization data collected, hydropower manufacturers, owners and operators can use HBET to predict the impacts on fish from entrainment through turbines or other hydro structures at new or rehabilitated plants.

The Sensor Fish, commercially available through Advanced Telemetry Systems, is a small autonomous sensor package that can be deployed in a laboratory or field environment to provide physical measurements of acceleration, pressure, rotational velocity and orientation.8 The Sensor Fish Mini11 was developed for evaluating hydraulic conditions in structures where the standard Sensor Fish could be too large, such as in small hydroelectric turbine-scale models. Data from both the Sensor Fish and Sensor Fish Mini (see Figure 4) can be correlated to what real fish may experience during downstream passage.

Figure 4: This illustration shows different forms of the Sensor Fish.

BioPA case study: Eddersheim Dam

The powerhouse at Eddersheim Dam, on the Main River in Germany, includes three low-head Kaplan turbine units. In 2015, one unit suffered bearing damage, prompting the operator to rehabilitate all the units. The Main River, a tributary to the Rhine River, is a migratory pathway for European eels, which are listed as endangered by the Convention on International Trade in Endangered Species.12 Based on this status, improving fish passage through the turbine units was a main objective of the rehabilitation process.

Andritz Hydro, the turbine designer tasked with the redesign, incorporated features to improve the biological performance of the new unit, including reducing the number of blades from four to three, increasing the bluntness of the leading edge of the blades and reducing the gaps at the runner.13 Along with CFD modeling and physical-scale testing at its laboratory in Linz, Austria, Andritz Hydro used BioPA to conduct a computer-based assessment of the difference in risk to fish passage for the original and new designs. BioPA was used to estimate the relative probability of exposure to pressure change, blade strike, fluid shear and turbulence for the proposed turbine designs. The application was coupled with the probability of injury or mortality for European eels using information collected from laboratory studies. Based on the analysis performed with BioPA, the largest improvements in relative survival for European eels were seen when examining collision risk. The probability of collision was slightly lower for the new turbine design. However, the likelihood of collision-related mortality decreased by a factor of 5. Subsequent live fish testing at Eddersheim Dam to evaluate improvements in the biological performance of the new turbine design installed in 2018 will occur in the near future.

Using BioPA, Andritz Hydro was able to assess the biological performance of the original and new turbine designs without the need for reduced-scale physical models during the turbine refit process. BioPA was used to identify the regions in the turbine that have extreme adverse conditions, on which the turbine designers could implement design strategies to increase the turbine biological performance. Overall, the application of BioPA provided a design goal and helped improve the turbine design to ensure the safety of fish passing downstream at Eddersheim Dam.

HBET case study: Nam Ngum Dam

Nam Ngum Dam in Vientiane, Laos, is on the Nam Ngum River, a major tributary of the Mekong River in Southeast Asia. This area has a stunning array of biodiversity, including more than 900 species of fish. In the coming decades, there are plans to install many new hydropower projects in the area. However, the needs of fish passage and potential impacts of numerous proposed and planned hydropower projects on local fish species of concern are poorly understood. A better understanding of the hydraulic conditions at existing dams in the region of the planned projects is needed to evaluate the effects of dams on species of fish. A biological evaluation of these effects will derive information that enables better predictions of how hydropower development will affect native fish species. The study highlighted below represents a starting point for this type of evaluation in the region.  

In 2016, researchers performed the first physical and biological evaluation of hydro turbines at Nam Ngum Dam. HBET and Sensor Fish were deployed at the dam to characterize the hydraulic conditions and estimate the probability of injury and mortality of fish traveling through existing hydropower facilities. Understanding the hydraulic and fish passage conditions at existing hydropower facilities will help guide the design of hydropower turbines and operating conditions that will mitigate the environmental impact of these projects to provide safe fish passage.

The study demonstrated that the use of newer hydropower turbines, with increased efficiency and power production, also offers better conditions for fish passage. The solid understanding of the current hydraulic conditions and biological performance in existing hydropower facilities enables better-informed decisions to be made about project design and operation. This is especially important for the development of new sustainable hydropower projects.14

Conclusion

HydroPASSAGE tools and technologies enable improved biological evaluation capacity and improved fish passage by informing better designs — both critical to supporting hydropower. To improve fish survival, the tools are being used by turbine original equipment manufacturers, hydropower owners and operators, and researchers and consultants during the decision-making process when developing new turbines, refurbishing old turbines or designing new structures at existing hydropower plants.

Over the next decade, more than 350 hydropower plants are expected to be relicensed in the U.S. alone. Changes in the electric grid are also altering the operational demands for hydropower. Both BioPA and HBET can inform the hydropower community about how to improve conditions for downstream fish passage and can be used to improve the understanding of impacts changing operations have on fish passage.

Acknowledgments

The work described in this article was funded by the U.S. Department of Energy’s Water Power Technologies Office. The Nam Ngum Dam case study was conducted at Pacific Northwest National Laboratory in Richland, Wash., which is operated by Battelle for DOE under Contract DE-AC05-76RL01830. The field data collection and data analysis were funded by the U.S. Agency for International Development under the Smart Infrastructure for the Mekong Program. Development and application of BioPA and associated CFD simulations for turbines and fish passage have also benefited from funding and collaboration with end users such as the U.S. Army Corps of Engineers, Voith and Andritz Hydro.

Contact information for licensing

For information about licensing HBET or BioPA, contact Commercialization Manager Sara Hunt (sara.hunt@pnnl.gov) or the Pacific Northwest National Laboratory Technology Deployment and Outreach Office (techcomm@pnnl.gov): https://www.pnnl.gov/available-technologies.

Hongfei Hou is senior computer scientist, Rajesh Singh is mechanical engineer, Brett Pflugrath is earth scientist, Jayson Martinez is senior mechanical engineer, Tao Fu is data scientist, Jun Lu is electrical engineer, Alison Colotelo is senior waterpower system scientist and Daniel Deng is lab fellow. All are with the Earth System Sciences Division of Pacific Northwest National Laboratory.

Notes

1Facts about hydropower, International Hydropower Association, 2021, https://www.hydropower.org/iha/discover-facts-about-hydropower.

2Available, National Hydropower Association, 2021, https://www.hydro.org/waterpower/why-hydro/available.

3Increase Your Energy IQ: New Hydropower Technologies for the 21st Century, Office of Energy Efficiency & Renewable Energy, U.S. Department of Energy, 2021, https://www.energy.gov/eere/water/articles/increase-your-energy-iq-new-hydropower-technologies-21st-century.

4Types of Hydropower Plants, Office of Energy Efficiency & Renewable Energy, U.S. Department of Energy, 2021, https://www.energy.gov/eere/water/types-hydropower-plants.  

5Richmond, M.C., et al, “Quantifying barotrauma risk to juvenile fish during hydro-turbine passage,” Fisheries Research, Vol. 154, 2014, page 152.

6Richmond, M.C., et al, “Computational Tools to Assess Turbine Biological Performance,” Hydro Review, Vol. 36, No. 6, July 2014, https://www.hydroreview.com/world-regions/computational-tools-to-assess-turbine-biological-performance/.

7Hou, H., et al, “A Hydropower Biological Evaluation Toolset (HBET) for Characterizing Hydraulic Conditions and Impacts of Hydro-Structures on Fish,” Energies, Vol. 11, No. 4, 2018, page 990.  

8Deng, Z.D., et al, “Design and implementation of a new autonomous sensor fish to support advanced hydropower development,” Review of Scientific Instruments, Vol. 285, No. 11, 2014, page 115001.

9Martinez, J., et al, “A large dataset of detection and submeter-accurate 3-D trajectories of juvenile Chinook salmon,” Scientific Data, Vol. 8, No. 1, 2021, page 211.  

10Pflugrath, B.D., et al, “Biological Response Models: Predicting Injury and Mortality of Fish During Downstream Passage through Hydropower Facilities,” Pacific Northwest National Laboratory, Richland, Wash., PNNL-30893, 2021.

11Salalila, A., et al, 2019. “Evaluation of a fish-friendly self-cleaning horizontal irrigation screen using autonomous sensors,” Marine and Freshwater Research, Vol. 70, No. 9, 2019, page 1.

12Shiraishi, H., and V. Crook, “Eel market dynamics: An analysis of Anguilla production, trade and consumption in East Asia,” TRAFFIC Japan Office c/o WWF Japan, Ed. 2, 2015.

13Lang, M., J. Michelcic, P. Romero-Gomez and S. Wiesenberger, “Fish friendly Kaplan turbine technology applied in a European turbine refurbishment project,” Proceedings of HYDRO 2018 – Hydropower & Dams.

14Martinez, J., et al, “In situ characterization of turbine hydraulic environment to support development of fish-friendly hydropower guidelines in the lower Mekong River region,” Ecological Engineering, Vol. 133, No. 1, 2019, page 88.

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