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A Multi-Scale Integrated Assessment Model for How Emerging Biotechnologies Can Contribute to Decoupling Energy and Water Systems
Energy-water (EW) systems in the U.S. are deeply interconnected through complex networks vulnerable to disruptions, such as when a regional drought simultaneously impacts hydropower generation, thermoelectric production, and water availability across multiple sectors, producing kn...
Patelli, P., Solander, K., Gonzalez-Esquer, R., Xu, C., Bower, C., Davis, R., Carruthers, J., and Thomas, J.
High-Altitude Electromagnetic Pulse (HEMP) effects on Energy-Water resilience
Executive Order 13865 emphasizes the need to focus on critical infrastructure resilience to high-altitude electromagnetic pulse (HEMP) effects, indicating that simulation of EMP effects on both energy and water systems need to be studied. The key technical challenges in assessing ...
Tabarez, J., Barnes, A., and Nelson, E.
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.
Multisector Energy-Water Management
This white paper focuses on energy-water supply, storage, transmission, and demand across multiple sectors.
Challenges include separate planning, operation, and management of energy and water; compounding sectors compete for energy and water supplies; increase in risk and uncerta...
Cohen, S., and Boren, B.
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.
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.
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.
Circular Water-Energy Nexus for Resilient Hydrogen Production via Intelligent Seawater Electrolysis and Real-Time Sensing
This white paper addresses the DOE WPTO focal area of energy-water resilience and circular systems, aligned with the topic of water for energy and energy for water cross-optimization. It proposes a machine-learning-enabled circular water-energy platform that integrates hydrogen pr...
Chen, J., and Xiong, G.
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.
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.