WPTO Peer Review 2019 Presentations: Hydropower Track 2
The U.S. Department of Energy (DOE) Water Power Technologies Office (WPTO) hosted the 2019 Project Peer Review on October 8-10, 2019 in Alexandria, Virginia. The majority of projects in WPTO's Fiscal Year 2017‒2018 research and development (R&D) portfolio were presented to the public and systematically reviewed by external subject-matter experts from industry, academia, and federal agencies.
Below are presentations from the 2019 Project Peer Review Hydropower Track 2 | Environmental R&D & Data Management:
-
Overview of Hydropower Track 2: Environmental R&D and Data Management.
-
Develop the means to manipulate, combine, derive, and make available information regarding hydropower data for internal and external use.
-
HMR aims to assemble datasets that are representative of the entire fleet and can be segmented by region or key plant attributes.
-
The RAPID Toolkit project aims to increase the trasnparency and efficiency of the regulatory process for hydropower projects in the United States.
-
This project will use scientifically-based quantitative and qualitative analyses to examine hydropower licensing timelines and implications on risk, cost, and deployment.
-
Project aims to develop better monitoring technologies to evaluate and mitigate environmental and ecological impacts.
-
Surface water is the "fuel" on which hydropower is based, and that resource can be directly affected by long-term hydroclimate change.
-
The project is developing a scalable, physics-based modeling framework to better understand hydropower investments and operational decisions.
-
This project designed and performed laboratory and field tests of an acoustic micro-transmitter that can be used to study behavior of American eel and Pacific lamprey.
-
Develop and demonstrate a suite of tools that can be used to evaluate biological performance of proposed and existing hydropower turbines.
-
Aims to promote transparency by providing a template for understand and communication which environmental impacts have project nexus.
-
This project uses wavelet filtering to enhance the video images and applies convolutional neural networks for deep learning and object classification.
-
Our study is designed to determine the biological performance and potential application of two new downstream eel bypass designs.
-
The aim is to deliver auxiliary water in a manner that will reduce fallback, guide fish to the entrance, and be cost-effective.
-
This project provides information, data, and tools for dam operators and turbine deisngs to use to improve turbines and structures.
-
The ability to harvest energy from the fish movement has the potential to enable tracking fish throughout life stages.
-
The objective was to clarify the regulatory process for an innovative fish passage technology deployment and condut rigorous scientific evaluation.
minute read time