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 41 - 44 of 44.
Show results per page.
Filters
Submitting Organization
Keywords
"project planning"×

Standardized Siting and Risk Analysis Decision Support Mechanisms for Water-Intensive Industries

This paper focuses on water for cooling industrial energy generation loads and energy and water for cooling large process loads. A challenge is that siting any large facility with substantial water demands without understanding baseline conditions and assessing potential multi-sec...
Fuchs, H., Karki, U., Stokes-Draut, J., Rao, P., Varadharajan, C., Hodson, A., Ajami, N., and Shehabi, A.

Optimizing Hydropower Operations through Basin-Scale Coordination for Energy-Water Resilience

This white paper aligns with the Water for Energy focal area and advances energy-water resilience through basin-scale coordination of hydropower operations. It outlines a transition from top-down management approaches to bottom-up, stakeholder-driven approach to improve hydropower...
Davis, L., Corsair, H., Ossa, D., and Nachman, M.

Hydrotwin: an AI-based physics and optimization framework for improved water resource resilience in systems experiencing adverse events

This white paper focuses on water for energy. As we move ahead into an uncertain future for water resource demand and supply, a massive challenge exists to optimize water systems to be resilient to a range of press/pulse extreme event states and conditions. Optimal decision-makin...
Bennett, K., Schwenk, J., and Garcia, M.

Agentic Optimization for Resilience in Hydropower Reservoir Systems

The growing electricity demand in the U.S. requires a resilient energy strategy. Hydropower is a major component of that strategy but is subject to environmental and human stressors that impact its dependability. AI-driven reinforcement learning, called "Agentic" learning, presen...
Schwenk, J., Garcia-Cardona, C., Bennett, K., Singh, S., and Brelsford, C.

<< Previous12345
  • 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