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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.

Integrated Energy-Water Data for Cross-Sector Resilience

Disjointed management of water and energy systems has created systemic vulnerabilities in the United States, particularly as aging infrastructure, population and industrial growth, and severe weather events strain both sectors. High-quality, standardized datasets like those provid...

Hodson, A., Stokes-Draut, J., Chini, C., Rao, P., and Semrod, K.

Advancing Energy-Water Resilience in California: A Framework for Integrated Water and Power Management Opportunities

This white paper identifies opportunities to advance energy-water resilience in California, using the Central Valley Project (CVP) and State Water Project (SWP) system. It addresses the critical intersection of both water for energy and energy for water management, emphasizing how...

Mork, E.

Optimizing Hydropower Operations through Basin-Scale Coordination for Energy-Water Resilience

This white paper aligns with the Water for Energy focal area and advances energy-water resilience through basin-scale coordination of hydropower operations. It outlines a transition from top-down management approaches to bottom-up, stakeholder-driven approach to improve hydropower...

Davis, L., Corsair, H., Ossa, D., and Nachman, M.

Hardening Forested Watersheds to Wildfire to Enhance Downstream Water Quality for Critical Energy Infrastructure

This white paper focuses on water-for-energy stability, emphasizing the risks to energy infrastructure from water quality impacts due to severely burned forested watersheds. The primary challenge is that energy production in the U.S. is vulnerable to surface water quality, with hi...

Crockett, J., and Krofcheck, D.

Field-Validated, Grid-Interactive Irrigation for Energy-Water Resilience in Puerto Rico's Agricultural Experimental Stations

Puerto Rico's irrigation infrastructure depends primarily on electrically powered pumping and distribution systems, making agricultural water delivery highly vulnerable to grid instability and frequent outages. This white paper proposes the development and validation of grid-inter...

Plaza, J., and Andrade, F.

Framework for Enabling Energy Reliability for Wastewater Utilities

This white paper addresses Energy for Water, focusing on enabling energy reliability at wastewater (WW) utilities with an emphasis on grid-interactive operations. Although multiple options exist for wastewater treatment plants (WWTPs), implementing energy reliable strategies lack ...

Sharma, N., and Lemar, P.

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.

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.

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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