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 - 10 of 114.
Show results per page.
Filters
Submitting Organization
Keywords
"AI and machine learning enabled data fusion"×

Advancing Energy-Water Resilience through Integrated Science and Technology for Natural Infrastructure Management

This white paper focuses on water for energy. The challenge is that ecosystems are under increasing stress from rising temperatures, prolonged drought, and intensifying disturbances like wildfire, insects, and land-use change, which can impact the hydrologic capacity of watershed...
Dickman, L., Atchley, A., Giovando, J., Fluet-Chouinard, E., Xu, C., and McPherson, T.

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.

Circular Water-Energy Nexus for Resilient Hydrogen Production via Intelligent Seawater Electrolysis and Real-Time Sensing

This white paper addresses the DOE WPTO focal area of energy-water resilience and circular systems, aligned with the topic of water for energy and energy for water cross-optimization. It proposes a machine-learning-enabled circular water-energy platform that integrates hydrogen pr...
Chen, J., and Xiong, G.

AI-Enhanced Hydropower Systems: Smart Dams for a Resilient Future

This paper focuses on water-energy, using AI for smart, holistic hydropower operations to enhance water for energy resilience. The existing challenges include (a) increasing demand for water and electricity, requiring a shift to flexible, real-time hydropower operations due to ch...
Varadharajan, C., Ajami, N., Brodie, E., Ciulla, F., Falco, N., Feldman, D., Newcomer, M., Dwivedi, D., Li, Y., Nakata, R., Nakata, N., Nico, P., Williams, K., Mahoney, M., Ramakrishnan, L., and Cholia, S.

A Hybrid AI-Optimization Framework for Resilient Hydropower Operations to Support Grid Stability, Extreme Weather Management, and Large-Scale Industrial Loads

This white paper supports a two-stage decision-support framework that links fast, probabilistic inflow forecasts from modern machine learning and generative AI with multistage stochastic optimization for hydropower scheduling. By propagating uncertainty from prediction into operat...
Ploussard, Q., and Feinstein, J.

Multisector Energy-Water Management

This white paper focuses on energy-water supply, storage, transmission, and demand across multiple sectors. Challenges include separate planning, operation, and management of energy and water; compounding sectors compete for energy and water supplies; increase in risk and uncerta...
Cohen, S., and Boren, B.

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.

High-Altitude Electromagnetic Pulse (HEMP) effects on Energy-Water resilience

Executive Order 13865 emphasizes the need to focus on critical infrastructure resilience to high-altitude electromagnetic pulse (HEMP) effects, indicating that simulation of EMP effects on both energy and water systems need to be studied. The key technical challenges in assessing ...
Tabarez, J., Barnes, A., and Nelson, E.

Reinforcement Learning for Water-Energy Infrastructure Resilience and Evolution

This white paper outlines a foundational AI-based framework for improving resilience across the energy-water nexus, with a focus on electric grid and water system interdependencies under hydrologic and weather extremes. The focal area spans both "water for energy" and "energy for ...
Jackson, N., and Rao, N.

Synergistic Pathways for Water Security in Emerging Sectors: Data Centers and Modern Nuclear Facilities

Stand-alone data centers, nuclear-powered data centers, and novel nuclear facilities such as fusion plant and small modular reactors are water intensive sectors poised to rapidly expand, presenting a significant challenge to the water-for-energy nexus. The potential for large-scal...
Catalano, A., Duan, Z., Quimby, C., Wang, T., Chini, C., Premathilake, L., and Pope, J.

12345Next >>
  • 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