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Cross-sector Decision-making Support for Energy-Water Resilience

Cross-sector decision-making support has the potential to advance energy-water resilience across scales, geographies, and technologies. Research and development of structured frameworks, tools, and participatory processes can help to inform joint evaluation of trade-offs, align pr...

Arkema, K., Daly, M., Duffy, K., Gunn, C., Henderson, C., Hou, H., Johnston, K., Marten, B., Morrice, K., Nelson, L., Niazi, H., Shereda, A., Beck, A., Griffin, R., and Matson, 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.

Quantifying Energy Use across U.S. Water Sectors: A Scalable AI/ML-Driven Framework for Data Integration and Resilience Planning

This white paper explores opportunities to quantify and characterize energy use across major U.S. water sectors, including irrigation, water supply, and water treatment, with a focus on energy for water dimension. A scalable AI/ML-driven framework will be developed to harmonize fr...

Ghimire, G., Bhanja, S., and Martinez, R.

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.

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.

Co-Development Opportunities Between Hydropower and Municipal Water and Wastewater Infrastructures

This white paper outlines opportunities to modernize U.S. water-energy infrastructure through co-development of hydropower with municipal water and wastewater systems. It highlights the untapped potential of integrating hydropower generation into new and existing water supply proj...

Chu, A., and DeNeale, S.

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.

Unlocking Hydropower Potential from Environmental Flows for Energy-Water Resilience

This white paper examines how mandated environmental flow (E-flow) releases at hydropower dams can be leveraged to generate renewable energy while maintaining ecological integrity. Environmental flows sustain aquatic ecosystems but often bypass turbines, representing lost generati...

DeNeale, S., Connor, M., and McManamay, R.

Energy Needs for Water Supply Expansion in Urban Areas

Rising urban water demand requires new water supply provisioning in cities. Understanding and quantifying the energy-intensity of new water supply options can help planners identify pathways for water supply expansion with manageable energy requirements. There is opportunity for ...

Deines, J., Catalano, A., Sinnott, V., Yoon, J., Sun, N., and Duan, Z.

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.

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