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Hybrid Additive Manufacturing and Overmolding of Polymer/Metal Lattices for Efficient Cooling Systems for Waterpower Applications

This proposal addresses the Water for Energy challenge by developing advanced hybrid thermal management structures that can reduce water consumption by 15-25% in cooling processes for power generation, energy storage, and power electronics. Further reductions are possible through ...

Talabi, S., Nawaz, K., and Hassen, A.

Dynamic Population Mapping to Advance Energy-Water Resilience

Dynamic population mapping, combined with household-level energy and water demand profiling, enables precise, actionable forecasting and resilience planning for U.S. energy-water systems under variable population and climate conditions. Energy and water systems face growing stres...

Zimmer, A., Tuccillo, J., Jeong, B., and Urban, M.

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.

Adaptive 3D Printed Micro-Hydropower for Resilient Grids: Digital-to-Deployment Framework

We propose to enhance the resilience of the U.S. electricity grid by enabling the rapid, adaptive, and on-demand manufacturing of site-specific micro-to-small hydropower systems for low-head dams. This approach directly addresses the nation's untapped 85,000+ non-powered dams (NPD...

Kim, P., Chawla, K., Hassen, A., Roschli, A., Post, B., Saha, S., and Mueller, R.

Co-Development Opportunities Between Hydropower and Municipal Water and Wastewater Infrastructures

This white paper outlines opportunities to modernize U.S. water-energy infrastructure through co-development of hydropower with municipal water and wastewater systems. It highlights the untapped potential of integrating hydropower generation into new and existing water supply proj...

Chu, A., and DeNeale, S.

Semi-Autonomous Facility Emergency Response (SAFER) for Energy-Water Resilience

The focal area of this whitepaper is enhancing cyber security for integrated energy-water systems. The near-term opportunity is to provide a decision support system (controller) to assist the hydroelectric plant operators during communications outages or during a cyber event (cybe...

Markel, L., Mukherjee, S., Liu, Y., Itiki, R., and Yoginath, S.

Aligning Bytes with Basins to Promote Data Center Growth in the U.S.

This white paper examines the water-energy tradeoffs of U.S. data-center expansion, highlighting how cooling choices, power sourcing, and siting decisions shape local water security, grid resilience, and watershed sustainability. The study focuses on integrating direct (on-site po...

Siddik, M., Turner, S., and Chinthavali, S.

A Coupled Energy-Water Storage Architecture for Resilient Urban Power and Water Distribution

This white paper proposes a coupled energy-water storage architecture to enhance the resilience of urban power and water distribution networks. The concept leverages GLIDES concept (Ground-Level Integrated Diverse Energy Storage), which is a pneumo-hydraulic storage technology dev...

Chen, Y., and Sun, J.

Water System Modernization using Advanced and Resilient Technologies (WaterSMART)

This white paper presents a comprehensive vision for modernizing U.S. water and water-energy infrastructure through advanced, resilient, and energy-integrated technologies. It highlights the pressing challenges posed by aging treatment plants, distribution systems, and stormwater ...

DeNeale, S., Chavez, L., and Chu, A.

Quantifying Energy Use across U.S. Water Sectors: A Scalable AI/ML-Driven Framework for Data Integration and Resilience Planning

This white paper explores opportunities to quantify and characterize energy use across major U.S. water sectors, including irrigation, water supply, and water treatment, with a focus on energy for water dimension. A scalable AI/ML-driven framework will be developed to harmonize fr...

Ghimire, G., Bhanja, S., and Martinez, R.

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