OpenEI: Energy Information
  • Energy-Water Resilience
  • My User
    • Sign Up
    • Login
EWR logo
  • White Papers
    • White Papers
  • Help
    • Frequently Asked Questions
    • Contact EWR Help
  • Search
EWR hero logo
Energy-Water Resilience

Search the Library

Showing results 1 - 8 of 8.
Show results per page.
Filters Clear All Filters ×
Submitting Organization
Keywords
"cost reduction"×
hydropower×

Adaptive 3D Printed Micro-Hydropower for Resilient Grids: Digital-to-Deployment Framework

We propose to enhance the resilience of the U.S. electricity grid by enabling the rapid, adaptive, and on-demand manufacturing of site-specific micro-to-small hydropower systems for low-head dams. This approach directly addresses the nation's untapped 85,000+ non-powered dams (NPD...
Kim, P., Chawla, K., Hassen, A., Roschli, A., Post, B., Saha, S., and Mueller, R.

Revolutionizing Water-Energy Infrastructure Resilience through Distributed Sensing and Digital Twins

This white paper addresses the intersection of Water for Energy and Energy for Water, proposing foundational technology to enhance the resilience and operational longevity of critical national assets, including hydropower facilities and marine energy systems. The core challenge i...
Luo, L.

Employing AI-Enabled Prognostics for Energy-Water Resilience

This white paper focuses on strengthening the resilience and efficiency of hydropower systems at the energy-water nexus through AI-enabled prognostics and hardware-in-the-loop (HIL) simulation. It emphasizes integrating digital intelligence with physical infrastructure to optimize...
Zhao, S., Qiu, F., and Agalgaonkar, Y.

Forecast and Intelligence Enabled Reservoir Operations for Energy-Water Resilience

This white paper discusses the energy-water nexus and emphasizes the need for co-optimization of hydropower, reservoir management, and water supply operations to enhance resilience and reliability. It focuses on integrating water management intelligence with power system forecasti...
Sun, M., and Hansen, C.

Forecast-Informed, Market-Responsive Conjunctive Operations for Multi-Reservoir Water-Energy Systems

The white paper, "Forecast-Informed, Market-Responsive Conjunctive Operations for Multi-Reservoir Water-Energy Systems" , addresses the water-for-energy and energy-for-water nexus by proposing a framework for co-optimizing hydropower and cascading reservoir operations alongside fl...
Pavicevic, M., Mork, E., Yu, A., Herman, J., Emmons, J., and Ploussard, Q.

Unlocking Small-scale Hydropower using Water Infrastructure for National Energy Security

Reliable local energy generation and long-duration energy storage are critical to balancing peak demands and providing distributed emergency backup near both urban and rural populations. However, small-scale (< 10 MW) hydropower faces barriers, including siting, permitting, water ...
Stokes-Draut, J., Taylor, M., and Rao, P.

Energy-Water Resilience through Underground Pumped Storage Hydropower (UPSH): Integrating Water Infrastructure for Enhanced Energy and Water Security

This white paper provides an overview of Underground Pumped Storage Hydropower (UPSH), a concept that addresses the intersection of water for energy and energy-water topics by utilizing subsurface formations for energy storage, leveraging excess surface water, treated wastewater, ...
Atkinson, T., Acharya, M., Russell, G., Colldeweih, R., Saulsbury, B., Reese, S., Mosier, T., and Schmidt, H.

A Framework for Improving Locational Marginal Price Estimates for Technoeconomic Analysis of Hydropower Investments and Operational Decisions

The focus is on improving the analytics supporting hydropower investment decisions through the more accurate characterization of the locational marginal prices (LMPs) that will define future energy payments. Enhanced analytics around LMP prediction could also be used to improve op...
Balducci, P., DeSomber, K., and Zhou, Z.

  • Disclaimers
  • Content is available under Creative Commons Attribution 4.0 unless otherwise noted.

Privacy Policy Notification

This site uses cookies to store and share user preferences with other OpenEI sites, and uses Google Analytics to collect anonymous user information such as which pages are visited, for how often, and what searches or other webpages may have led users here. You can prevent Google Analytics from recognizing you on return visits to this site by disabling cookies on your browser or by installing a Google Analytics Opt-out Browser Add-on. By clicking "Accept" you agree this site can store cookies on your device and disclose information to OpenEI and Google Analytics in accordance with our privacy policy.

OpenEI Privacy Policy Google Analytics Terms of Service