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Forecast and Intelligence Enabled Reservoir Operations for Energy-Water Resilience
This white paper discusses the energy-water nexus and emphasizes the need for co-optimization of hydropower, reservoir management, and water supply operations to enhance resilience and reliability. It focuses on integrating water management intelligence with power system forecasti...
Sun, M., and Hansen, C.
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.
Contaminants of Emerging Concern in Water Sources and Impacts on Water and Wastewater Treatment
This white paper examines the critical issue of contaminants of emerging concern (CECs) in water systems, emphasizing the need for advanced water reuse and reclamation technologies to mitigate water scarcity, particularly in arid and remote regions. These contaminants, which inclu...
Saulsbury, B., Reese, S., and Mathews, T.
Unlocking Hydropower Potential from Environmental Flows for Energy-Water Resilience
This white paper examines how mandated environmental flow (E-flow) releases at hydropower dams can be leveraged to generate renewable energy while maintaining ecological integrity. Environmental flows sustain aquatic ecosystems but often bypass turbines, representing lost generati...
DeNeale, S., Connor, M., and McManamay, R.
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.
Unlocking the energy-water interdependency through bio-augmented treatment of produced water for agricultural re-use and aquifer recharge
The supply and demand for energy and water within the US is increasingly intertwined. Several examples of this include the large volumes of water consumed by hydraulic fracking, the reliance of energy-intensive groundwater pumping in agriculture, and the significant water and powe...
Solander, K., Patelli, P., Gonzalez-Esquer, R., Xu, C., Bower, C., and Kisekka, I.
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.
Improved quantification of river nutrient loading for better water quality and more efficient energy use
The focus of this paper is multi-sector dynamics involving agriculture practices, water quality and energy. Currently there lacks high-resolution spatiotemporal data regarding water quality and usage, forcing the planning for water treatment to adopt the conservative, worst-case a...
Tang, J., and Zhu, Q.
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.
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.