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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.
High-Altitude Electromagnetic Pulse (HEMP) effects on Energy-Water resilience
Executive Order 13865 emphasizes the need to focus on critical infrastructure resilience to high-altitude electromagnetic pulse (HEMP) effects, indicating that simulation of EMP effects on both energy and water systems need to be studied. The key technical challenges in assessing ...
Tabarez, J., Barnes, A., and Nelson, E.
Wave Energy for Resilient Water Supply in Coastal Communities
This white paper examines the use of wave energy for desalination in coastal communities, focusing on enhancing resilience by providing a sustainable source of drinking water during disruptions (intersection of energy and water). Coastal areas, particularly remote ones, face signi...
Grasberger, J., and Klise, K.
Employing AI-Enabled Prognostics for Energy-Water Resilience
This white paper focuses on strengthening the resilience and efficiency of hydropower systems at the energy-water nexus through AI-enabled prognostics and hardware-in-the-loop (HIL) simulation. It emphasizes integrating digital intelligence with physical infrastructure to optimize...
Zhao, S., Qiu, F., and Agalgaonkar, Y.
Revolutionizing Water-Energy Infrastructure Resilience through Distributed Sensing and Digital Twins
This white paper addresses the intersection of Water for Energy and Energy for Water, proposing foundational technology to enhance the resilience and operational longevity of critical national assets, including hydropower facilities and marine energy systems.
The core challenge i...
Luo, L.
High-Rate Manufacturing of Corrosion Resistant Composite Piping for Water-Energy Infrastructure Resilience
The work focuses on rapid and cost-efficient manufacturing of composite piping for hydropower, waste-water infrastructure and data center thermal management offering extended service life and minimal inspection-maintenance requirement under corrosive and high temperature environme...
Saha, S., Kim, P., Kumar, V., Spencer, R., and Hassen, A.