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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.

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.

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.

Water Energy Planning Strategies to meet Emerging Load from Data Centers

This white paper discusses the urgent need for innovative management of energy and water resources in the context of rapidly growing data centers, particularly as U.S. electricity demand is projected to increase by 35 to 40% by 2040 due to the rise of artificial intelligence (AI)....

Bhowmik, P., Cafferty, K., Klise, K., and Jackson, N.

An Energy-Water Nexus Foundation Model Ecosystem to Advance System Resiliency and Affordability

This white paper presents how an AI-driven foundation model ecosystem for hydropower and the electric grid, integrated with a large language model (LLM) agent can address the "Water for Energy" challenge and modernize coordinated planning and operations of the U.S. energy-water ne...

Kwon, J., Kim, K., Levin, T., and Botterud, A.

Minimizing Costs and Risk for Rural Water Systems

Many rural and remote populations either lack access to treated water supplies or are served by water systems that are at risk from increasing contaminant concentrations, aging infrastructure, unreliable supplies, and/or groundwater depletion. Recent research has shown that these ...

Hendrickson, T., Rao, P., Stokes-Draut, J., Gonzalez, S., and Fiske, P.

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.

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.

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.

Maximizing American Energy Dominance with Forecasts of Energy Infrastructure Flood Exposure and AI Predictions of Consequences

This white paper focuses on water for energy. High frequency, reliable, and spatially explicit flood forecasts are necessary to forecast impacts to the energy system from hydrological hazards. While these tools are nearing operation at scale, they have not yet been systematicall...

Brelsford, C., Garcia, M., Robbins, Z., Schwenk, J., and Liu, Y.

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