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Material Science Driven Water Technology Innovation
The white paper explores multiple Energy-Water Resilience (EWR) topics, including water for energy, energy for water, and their intersections. It proposes low-cost, scalable water-based material processes to advance water technologies through materials innovation. The existing cha...
Chang, C., and Ajami, N.
Resilience By Design: Advanced Metrics and Comprehensive Methods for Energy-Water Systems Analysis
This white paper examines the connections between energy and water systems, highlighting the need for thorough resilience analyses and interdisciplinary metrics in these sectors. It addresses challenges stemming from the growing interdependence and uncertainty in decision-making d...
Valdez, R., Jackson, N., and Wachtel, A.
Advanced Manufacturing of Polymer Composites for Energy-Water Resilience and Infrastructure Modernization
This white paper addresses the intersection of energy and water systems through innovations in advanced polymer composites and convergent manufacturing to enhance national waterpower infrastructure resilience, reduce lifecycle energy and water intensity, and strengthen domestic ma...
Hassen, A.
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.
Advancing Energy-Water Resilience in Alaska, Hawaii, and U.S. Territories
Challenges facing Alaska, Hawaii, and U.S. Territories for both "energy for water" and "water for energy" are distinctive from the contiguous U.S. In this whitepaper, we discuss opportunities for new hydropower development and non-traditional water-energy linkages in these regions...
Hansen, C., Acharya, M., Ashraf, F., Atkinson, T., Chu, A., and Calderon, J.
Cross-sector Decision-making Support for Energy-Water Resilience
Cross-sector decision-making support has the potential to advance energy-water resilience across scales, geographies, and technologies. Research and development of structured frameworks, tools, and participatory processes can help to inform joint evaluation of trade-offs, align pr...
Arkema, K., Daly, M., Duffy, K., Gunn, C., Henderson, C., Hou, H., Johnston, K., Marten, B., Morrice, K., Nelson, L., Niazi, H., Shereda, A., Beck, A., Griffin, R., and Matson, P.
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.
Marine Energy-Seawater Intersection for Hydrogen Production
The focal area is about the energy-water intersections for high-value fuel production. The main challenge is the poor stability of anode in natural seawater electrolysis for hydrogen production, and we propose a fabrication of novel electrode overcome this challenge. The success m...
Lyu, X., and Yang, X.
Enabling Energy-Water Resilience Through Testbeds for Scalable Atmospheric Water Harvesting Across Domestic, Building, and Manufacturing Applications
This white paper outlines a coordinated testbed and modeling framework to evaluate atmospheric water harvesting (AWH) as an energy?water resilience strategy across domestic, building, and manufacturing applications. By benchmarking real-world AWH performance against thermodynamic ...
Fisk, P., and Herckes, P.
A Hybrid AI-Optimization Framework for Resilient Hydropower Operations to Support Grid Stability, Extreme Weather Management, and Large-Scale Industrial Loads
This white paper supports a two-stage decision-support framework that links fast, probabilistic inflow forecasts from modern machine learning and generative AI with multistage stochastic optimization for hydropower scheduling. By propagating uncertainty from prediction into operat...
Ploussard, Q., and Feinstein, J.