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Reinforcement Learning for Water-Energy Infrastructure Resilience and Evolution
This white paper outlines a foundational AI-based framework for improving resilience across the energy-water nexus, with a focus on electric grid and water system interdependencies under hydrologic and weather extremes. The focal area spans both "water for energy" and "energy for ...
Jackson, N., and Rao, N.
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.
Water Availability for Cooling Systems: Assessing Demands, Constraints, and Alternative Sources for Thermoelectric Plants and Data Centers
This white paper focuses on enhancing the intersection of energy and water resilience by advancing water reuse and reclamation technologies, particularly for thermoelectric power plants and data centers. The primary goal is to efficiently manage cooling water to meet growing deman...
Pacheco, C., Cafferty, K., Reese, S., Atkinson, T., Mosier, T., and Tidwell, V.
Energy-Water System Resilience to Flooding
This white paper addresses the resilience challenges and opportunities within interdependent energy-water systems, particularly under the stress of flooding events. It describes how large-scale flood events impact these systems, posing risks such as operational constraints, infras...
McPherson, T., Giovando, J., Hou, H., Daniel, B., Bracken, C., Li, X., and Bixler, T.
Joint modeling of water and energy for resilience and flexibility
The white paper focuses on the intersection of energy and potable water systems through joint modeling to enhance resilience, flexibility, and operational efficiency. The paper identifies the lack of integrated modeling tools as the primary obstacle in managing interconnected wate...
Chini, C., Thomas, M., Bixler, T., and Cejudo, C.
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.
An Energy-Water Nexus Foundation Model Ecosystem to Advance System Resiliency and Affordability
This white paper presents how an AI-driven foundation model ecosystem for hydropower and the electric grid, integrated with a large language model (LLM) agent can address the "Water for Energy" challenge and modernize coordinated planning and operations of the U.S. energy-water ne...
Kwon, J., Kim, K., Levin, T., and Botterud, A.
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.
Co-optimization of Energy and Water Demands to Enable Rapid but Resilient Expansion of Data Centers
Data centers consume substantial amounts of electricity and can amplify water stress locally as well as in distant regions via their direct (for cooling) and indirect (for thermoelectric power generation) consumption of water. There is an opportunity to enhance energy-water resili...
Burleyson, C., Akdemir, K., Mongird, K., and Wild, T.
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.