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Managing Systemic Interdependence within Energy-Water-Transportation Systems

This white paper discusses the complex interdependence between energy, water, and transportation (EWT) systems, which underpins critical infrastructure and supply chains. Failures in any of these systems can cause cascading disruptions across the others due to their tight integrat...

McPherson, T., Giovando, J., Daniel, B., Chatterjee, S., and Chowdhury, P.

Supporting adoption of advanced forecast informed reservoir operations tools to improve agricultural and municipal water and energy outcomes

Expanding the use of advanced forecast-informed reservoir operations tools can optimize or improve water delivery and storage for energy generation, irrigation, and municipal uses. Advanced forecast-informed data and tools are increasingly being integrated into large-scale reservo...

Jorgensen, J., Giovando, J., Pracheil, B., Hou, H., and Niazi, H.

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.

Mitigating Wildfire-Driven Hydrological Impacts on Energy Generation

Following a wildfire, increased sedimentation and altered flow regimes can disrupt water quantity and quality for years, impacting water users (e.g., municipal, industrial, agricultural) and undermining energy reliability, efficiency, and infrastructure longevity. Upstream restora...

Catalano, A., Ferencz, S., Michaels, R., and Hester, E.

Process Design and Optimization for Wastewater Treatment Efficiency and Resilience

This white paper explores the benefits of using digital twins and mathematical programming techniques to optimize energy consumption in wastewater treatment processes, thereby enhancing resilience and efficiency. Key challenges faced by current facilities include high energy consu...

Rawlings, E., Klise, K., and Gunter, D.

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.

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.

A Probabilistic Framework for Uncovering Water-Energy Infrastructure Dependencies and Assessing Systemic Consequences

The coupling of water and energy systems is critical for ensuring resilient infrastructure, particularly as water plays an essential role in the safe and reliable operation of energy sources. The dependency on water becomes increasingly complex when energy systems are integrated w...

Yigitoglu, A., Muhlheim, M., Smith, A., Ramuhalli, P., and Berres, A.

Water Reuse Energy Demands and Water Quality Metrics

This white paper discusses strategies for enhancing water resilience in energy production by advancing water reuse and reclamation technologies, particularly for thermoelectric power plants and data centers. The focus is on efficiently closing the water loop by processing discharg...

Shurtliff, M., and Reese, S.

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.

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