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Energy-Water Resilience

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"energy-water-land trade-offs"×

A Decision-Framework for Retrofitting or Decommissioning Hydropower Plants in the USA

This white paper presents a comprehensive decision framework for evaluating the retrofitting or decommissioning of aging hydropower plants in the United States, focusing on the critical intersection of water and energy. The U.S. hydropower sector, comprising approximately 2,000 pl...
Mishra, S., Kumar, S., Prairie, J., Giovando, J., Rajib, A., and Castillo, C.

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.

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.

Electrocoagulation for Water Recycle and Resource Recovery from Farm Wastewater

The goal of this proposed project is to use an electrochemical process to recover ammonia as struvite, a slow-release fertilizer, from real dairy-farm wastewater and recycle the treated water for animal cooling, feeding, cleaning, or irrigation. The produced solid fertilizer (bulk...
Jang, G., and Wiechert, A.

Thermoelectric and Hydropower Drought Monitor and Outlook: Tools for more robust resource adequacy planning and management

The primary focus is on issues related to water for energy; specifically, how drought-impacted water supply limits the generation potential of hydropower and thermoelectric assets. Existing Challenge: Twenty-two droughts, each causing a billion dollars or more in damages have im...
Voisin, N., Tidwell, V., and Gerlich, J.

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.

Water for Baseload Power-A Revamp of the Nation's Nuclear Water Use Data

Providing approximately 20% of total U.S. electricity generation each year from a fleet of only 54 plants (94 reactors) nationwide, the nuclear sector is characterized by large and locally impactful power generating facilities. About half of existing reactors rely on once-through ...
Turner, S., Siddik, M., Montgomery, C., and Marston, L.

Water Treatment and Valorization of Mine Byproducts in the Western US

This white paper highlights the critical role of water management in the mining and mineral processing sectors, particularly concerning the reclamation and treatment of water used in extracting essential materials for next-generation energy technologies and national security syste...
Wilson, A.

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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