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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.

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.

Natural Materials as a Pathway to Affordable and Scalable Membrane Separation Technologies

This white paper focuses on developing affordable and scalable membrane separation technologies derived from natural materials for selective extraction of critical minerals (CMs), such as lithium, manganese, and barium, from geothermal brines. This approach integrates with geother...

Ho, T., and Sharan, P.

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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