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A Coupled Energy-Water Storage Architecture for Resilient Urban Power and Water Distribution
This white paper proposes a coupled energy-water storage architecture to enhance the resilience of urban power and water distribution networks. The concept leverages GLIDES concept (Ground-Level Integrated Diverse Energy Storage), which is a pneumo-hydraulic storage technology dev...
Chen, Y., and Sun, J.
Advancing Industrial Sector Water Management for Energy Recovery in Water Supply, In-Process, and Discharge Systems
This paper addresses both water-for-energy and energy-for-water by integrating hydropower generation to improve industrial water system resilience. Conduit hydropower is produced by capturing flowing water under pressure in closed-pipe systems and converting the energy into usable...
Bhandari, I., Billings, B., DeNeale, S., Chu, A., and Meira, K.
Energy/Water Operation Smart Contract for Hydropower Plant/Data Centers
We propose an Energy/Water Operation Smart Contract that securely coordinates hydropower plant operations with energy-intensive data-center clusters using Distributed Ledger Technology (DLT). The smart contract provides a decentralized, tamper-resistant layer for operational contr...
Hink, R., Piesciorovsky, E., Hahn, G., Werth, A., and Wang, H.
Unlocking Small-scale Hydropower using Water Infrastructure for National Energy Security
Reliable local energy generation and long-duration energy storage are critical to balancing peak demands and providing distributed emergency backup near both urban and rural populations. However, small-scale (< 10 MW) hydropower faces barriers, including siting, permitting, water ...
Stokes-Draut, J., Taylor, M., and Rao, P.
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.
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.
Framework for Enabling Energy Reliability for Wastewater Utilities
This white paper addresses Energy for Water, focusing on enabling energy reliability at wastewater (WW) utilities with an emphasis on grid-interactive operations. Although multiple options exist for wastewater treatment plants (WWTPs), implementing energy reliable strategies lack ...
Sharma, N., and Lemar, P.
Field-Validated, Grid-Interactive Irrigation for Energy-Water Resilience in Puerto Rico's Agricultural Experimental Stations
Puerto Rico's irrigation infrastructure depends primarily on electrically powered pumping and distribution systems, making agricultural water delivery highly vulnerable to grid instability and frequent outages. This white paper proposes the development and validation of grid-inter...
Plaza, J., and Andrade, F.
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.
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.