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Integrated Water-Energy-Economics Framework for Public Water System Resilience
This paper highlights key energy-for-water challenges in U.S. public water systems (PWS): aging infrastructure, cost recovery gaps, hydrologic vulnerabilities, and high-demand users like data centers--which concentrate near population centers and existing PWS. It underscores the n...
Siddik, M., Ahmad, N., Guaita, S., and Chinthavali, S.
Harnessing water system flexibility for grid resilience
With new critical infrastructure that require uninterrupted power supplies (such as data centers that support the AI boom) and a rising share of intermittent generation sources on the grid, there is a growing need for flexibility in grid resources which can ramp up or down quickly...
Szinai, J., and Callaway, D.
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.
Maximizing American Energy Dominance with Forecasts of Energy Infrastructure Flood Exposure and AI Predictions of Consequences
This white paper focuses on water for energy.
High frequency, reliable, and spatially explicit flood forecasts are necessary to forecast impacts to the energy system from hydrological hazards. While these tools are nearing operation at scale, they have not yet been systematicall...
Brelsford, C., Garcia, M., Robbins, Z., Schwenk, J., and Liu, Y.
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.
Agentic Optimization for Resilience in Hydropower Reservoir Systems
The growing electricity demand in the U.S. requires a resilient energy strategy. Hydropower is a major component of that strategy but is subject to environmental and human stressors that impact its dependability. AI-driven reinforcement learning, called "Agentic" learning, presen...
Schwenk, J., Garcia-Cardona, C., Bennett, K., Singh, S., and Brelsford, C.
From Modeling to Testbeds: Taking an Expanded Look at Wastewater Reuse
The primary focus is on energy for water, considering the myriad tradeoffs influencing the adoption of wastewater reuse, particularly considering its energy intensity.
Wastewater reuse offers a compelling opportunity to concurrently tackle water scarcity and enhance energy effic...
Tidwell, V., Bixler, T., Niazi, H., Marsh, P., and Wild, T.
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.
Reliable Water Resources for Resilient Next-Generation Geothermal Energy
This white paper focuses on expanding reclaimed wastewater for geothermal water management.
Challenges include rapid growth to 5 GW, rising demand for water in water-scarce regions. High volumes for drilling, stimulation, cooling, and reclaimed water infrastructure limits. High ...
Wu, M.
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.