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Accelerating the Acquisition of Irrigation Modernization Benefits

Accelerating the modernization of off-farm irrigation water delivery infrastructure can hasten the acquisition of many energy-water benefits: water and energy conservation, energy generation and grid reliability, and additional water conservation and increased agricultural yields ...

Jorgensen, J., Saulsbury, B., Cafferty, K., Golden, B., Kueny, K., Hou, H., and Niazi, H.

Distributed Pumped Hydro for Sustainable Energy-Water Resilience with Vertical Agriculture

This white paper focuses on water for energy and energy for water and food security. Pumped Hydro energy storage systems have been utilized for over 100 years to offer many advantages to grid management including long life, high efficiency, low maintenance, dispatchable electrici...

Bibeault, M., Sevanto, S., Hanson, D., and Akil, A.

Hybrid Bioenergy and Hydropower Systems: Leveraging Heterogeneous Biomass and Wastes from Watersheds

Sandia National Laboratories and Idaho National Laboratory (INL) explore the water-for-energy nexus in this white paper, focusing on the impact of heterogeneous watershed waste materials on hydropower facilities. They identify key challenges--such as pile burning, wildfires, and d...

Quiroz-Arita, C., and Paudel, R.

Supporting adoption of advanced forecast informed reservoir operations tools to improve agricultural and municipal water and energy outcomes

Expanding the use of advanced forecast-informed reservoir operations tools can optimize or improve water delivery and storage for energy generation, irrigation, and municipal uses. Advanced forecast-informed data and tools are increasingly being integrated into large-scale reservo...

Jorgensen, J., Giovando, J., Pracheil, B., Hou, H., and Niazi, H.

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.

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