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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.
Integrated Planning for Resilient Energy-, Infrastructure-, and Hydro-Scapes
The focus of this paper is nationally-comprehensive, hyper-granular assessment of future energy expansion opportunities and challenges, considering multi-dimensional risks and consequent implications of large infrastructure additions on surface water and groundwater, spanning from...
McCollum, D., Rathore, S., Liu, Y., and Parish, E.
Digital Twin and HIL Framework for Grid-Interactive Microgrids in Non-PRASA Aqueducts: Enhancing Energy-Water Nexus Resilience
This white paper addresses the energy for water focal area by developing and validating grid-interactive microgrids for aqueducts which operate outside the centralized Puerto Rico Aqueduct and Sewer Authority (non-PRASA). These aqueducts depend on electricity for pumping and treat...
Plaza, J., and Andrade, F.
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.
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.
Promoting Energy-Water Nexus Understanding: Education and Workforce
This white paper discusses the development of educational and workforce programs focused on the energy-water nexus, aiming to enhance energy and water resilience by promoting multidisciplinary skills essential for managing robust energy-water systems.
There is a significant gap i...
Atkinson, T., and Cafferty, K.
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.
Sensor Enabled Cured-in-Place (CIPP) Liners: Cutting Leaks Today, Powering Digital Twins and Real-Time Detection for Tomorrow's Resilient Intelligent Water Distribution Systems
Municipal water accounts for roughly 12% of total consumption in the United States (EPA and AWWA averages), yet an estimated 14% of this treated supply is lost through distribution line leaks (AWWA national average). Because municipal water carries significant embedded energy and ...
Robinson, G., Luo, L., Earni, S., and DeJong, M.
Energy-Efficient Water Management Using Geo-AI for Evapotranspiration and Crop Risk Analysis
This white paper outlines a strategy for enhancing energy-efficient water management in agriculture through the application of Geospatial Artificial Intelligence (GeoAI). The focus is on developing a Dynamic Irrigation Window Scheduling (DIWS) system that optimizes irrigation base...
Cafferty, K., and Pacheco, C.
AI-Enhanced Hydropower Systems: Smart Dams for a Resilient Future
This paper focuses on water-energy, using AI for smart, holistic hydropower operations to enhance water for energy resilience.
The existing challenges include (a) increasing demand for water and electricity, requiring a shift to flexible, real-time hydropower operations due to ch...
Varadharajan, C., Ajami, N., Brodie, E., Ciulla, F., Falco, N., Feldman, D., Newcomer, M., Dwivedi, D., Li, Y., Nakata, R., Nakata, N., Nico, P., Williams, K., Mahoney, M., Ramakrishnan, L., and Cholia, S.