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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.
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.
Electrocoagulation for Water Recycle and Resource Recovery from Farm Wastewater
The goal of this proposed project is to use an electrochemical process to recover ammonia as struvite, a slow-release fertilizer, from real dairy-farm wastewater and recycle the treated water for animal cooling, feeding, cleaning, or irrigation. The produced solid fertilizer (bulk...
Jang, G., and Wiechert, A.
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.
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.
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.
Integrated Water-Energy-Economics Framework for Public Water System Resilience
This paper highlights key energy-for-water challenges in U.S. public water systems (PWS): aging infrastructure, cost recovery gaps, hydrologic vulnerabilities, and high-demand users like data centers--which concentrate near population centers and existing PWS. It underscores the n...
Siddik, M., Ahmad, N., Guaita, S., and Chinthavali, S.
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.
Adaptive 3D Printed Micro-Hydropower for Resilient Grids: Digital-to-Deployment Framework
We propose to enhance the resilience of the U.S. electricity grid by enabling the rapid, adaptive, and on-demand manufacturing of site-specific micro-to-small hydropower systems for low-head dams. This approach directly addresses the nation's untapped 85,000+ non-powered dams (NPD...
Kim, P., Chawla, K., Hassen, A., Roschli, A., Post, B., Saha, S., and Mueller, R.
Quantifying Energy Use across U.S. Water Sectors: A Scalable AI/ML-Driven Framework for Data Integration and Resilience Planning
This white paper explores opportunities to quantify and characterize energy use across major U.S. water sectors, including irrigation, water supply, and water treatment, with a focus on energy for water dimension. A scalable AI/ML-driven framework will be developed to harmonize fr...
Ghimire, G., Bhanja, S., and Martinez, R.