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Enabling Energy-Water Resilience Through Testbeds for Scalable Atmospheric Water Harvesting Across Domestic, Building, and Manufacturing Applications
This white paper outlines a coordinated testbed and modeling framework to evaluate atmospheric water harvesting (AWH) as an energy?water resilience strategy across domestic, building, and manufacturing applications. By benchmarking real-world AWH performance against thermodynamic ...
Fisk, P., and Herckes, P.
Revolutionizing Water-Energy Infrastructure Resilience through Distributed Sensing and Digital Twins
This white paper addresses the intersection of Water for Energy and Energy for Water, proposing foundational technology to enhance the resilience and operational longevity of critical national assets, including hydropower facilities and marine energy systems.
The core challenge i...
Luo, L.
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.
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.
Forecast-Informed, Market-Responsive Conjunctive Operations for Multi-Reservoir Water-Energy Systems
The white paper, "Forecast-Informed, Market-Responsive Conjunctive Operations for Multi-Reservoir Water-Energy Systems" , addresses the water-for-energy and energy-for-water nexus by proposing a framework for co-optimizing hydropower and cascading reservoir operations alongside fl...
Pavicevic, M., Mork, E., Yu, A., Herman, J., Emmons, J., and Ploussard, Q.
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.
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.
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.
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-Energy Resiliency for Agricultural Systems
This white paper focuses on energy-water implications of agricultural water supply needs and nutrient management.
Challenges include agricultural water use and consumption, energy-water relationships in agriculture, and water quality impacts on drinking water and surface water.
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Steward, D., and Leick, N.