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Energy-Water Resiliency for Drinking Water and Wastewater Treatment

This white paper focuses on water treatment operational flexibility, technoeconomic analyses, real-time modeling and control, modular systems, and resource recovery. Challenges include municipal water and wastewater services are large energy users; underestimation of energy and w...

Struck, S., Boren, B., and Hardikar, M.

Wave Energy Conversion for Powering Aquaculture

This white paper explores the integration of wave energy converters (WECs) with aquaculture systems, aiming to enhance energy-water resilience and local food security. The focal area is the intersection of energy and water, addressing significant challenges such as reliance on fos...

Grasberger, J., and Nguyen, 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.

Energy/Water Operation Smart Contract for Hydropower Plant/Data Centers

We propose an Energy/Water Operation Smart Contract that securely coordinates hydropower plant operations with energy-intensive data-center clusters using Distributed Ledger Technology (DLT). The smart contract provides a decentralized, tamper-resistant layer for operational contr...

Hink, R., Piesciorovsky, E., Hahn, G., Werth, A., and Wang, H.

Sensor Enabled Cured-in-Place (CIPP) Liners: Cutting Leaks Today, Powering Digital Twins and Real-Time Detection for Tomorrow's Resilient Intelligent Water Distribution Systems

Municipal water accounts for roughly 12% of total consumption in the United States (EPA and AWWA averages), yet an estimated 14% of this treated supply is lost through distribution line leaks (AWWA national average). Because municipal water carries significant embedded energy and ...

Robinson, G., Luo, L., Earni, S., and DeJong, M.

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.

Enabling Energy-Water Resilience in U.S. Data Centers: Water-Aware Grid Planning and Operations with Infrastructure-Compatible Cooling

Rapid, concentrated expansion of AI data centers is reshaping electricity demand profiles, local infrastructure requirements, and regional resource constraints. These facilities are often sized from tens to hundreds of megawatts with multi-gigawatt campus clusters. They are relati...

Zhou, Z., Wu, M., Qiu, F., Muehleisen, R., Zhao, D., Yan, E., and Worek, W.

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.

Water Energy Planning Strategies to meet Emerging Load from Data Centers

This white paper discusses the urgent need for innovative management of energy and water resources in the context of rapidly growing data centers, particularly as U.S. electricity demand is projected to increase by 35 to 40% by 2040 due to the rise of artificial intelligence (AI)....

Bhowmik, P., Cafferty, K., Klise, K., and Jackson, N.

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