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Energy-Water Resilience

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"System Reliability"×

Harnessing water system flexibility for grid resilience

With new critical infrastructure that require uninterrupted power supplies (such as data centers that support the AI boom) and a rising share of intermittent generation sources on the grid, there is a growing need for flexibility in grid resources which can ramp up or down quickly...
Szinai, J., and Callaway, D.

Energy-Efficient Water Management Using Geo-AI for Evapotranspiration and Crop Risk Analysis

This white paper outlines a strategy for enhancing energy-efficient water management in agriculture through the application of Geospatial Artificial Intelligence (GeoAI). The focus is on developing a Dynamic Irrigation Window Scheduling (DIWS) system that optimizes irrigation base...
Cafferty, K., and Pacheco, C.

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.

Building Resilient Energy-Water Systems: Integrated Modeling, Scenario Selection, and Near-Term Decision Support

U.S. energy and water systems are increasingly interdependent, often leading to cascading and compounding system failures when faced with acute and chronic hazards. Such stressors propagate across multiple spatial scales, typically starting with changing earth system dynamics (for...
Rodriguez, L., Szinai, J., Stokes-Draut, J., Dwivedi, D., Ulrich, C., Holm, J., and Vahmani, P.

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.

Monitoring, Planning, and Management of Water Quality and Quantity for Resilient Water and Energy Systems

Both resilient systems where water is used for energy production and energy is used for treatment and operation depend not only on the quantity of water, but also quality and environmental health. Addressing gaps in environmental health and infrastructure condition/capability data...
Hansen, C., DeRolph, C., Allen-Dumas, M., Griffiths, N., Matson, P., Pilla, R., Siddik, A., Stevenson, L., and Johnson, R.

Increasing Robustness and Resilience of Water Delivery Infrastructure

This white paper outlines the need for a national testing capability for water treatment and delivery infrastructure to enhance energy-water resilience (EWR) and address existing knowledge and technology gaps. The vulnerability of water systems to contamination, physical compromis...
Reese, S., Gagnon, O., and Otto, M.

Process Design and Optimization for Wastewater Treatment Efficiency and Resilience

This white paper explores the benefits of using digital twins and mathematical programming techniques to optimize energy consumption in wastewater treatment processes, thereby enhancing resilience and efficiency. Key challenges faced by current facilities include high energy consu...
Rawlings, E., Klise, K., and Gunter, D.

Dynamic Population Mapping to Advance Energy-Water Resilience

Dynamic population mapping, combined with household-level energy and water demand profiling, enables precise, actionable forecasting and resilience planning for U.S. energy-water systems under variable population and climate conditions. Energy and water systems face growing stres...
Zimmer, A., Tuccillo, J., Jeong, B., and Urban, M.

Integrated Water-Energy-Economics Framework for Public Water System Resilience

This paper highlights key energy-for-water challenges in U.S. public water systems (PWS): aging infrastructure, cost recovery gaps, hydrologic vulnerabilities, and high-demand users like data centers--which concentrate near population centers and existing PWS. It underscores the n...
Siddik, M., Ahmad, N., Guaita, S., and Chinthavali, S.

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