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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.
Marine-Source Integrated Heat Pump System for Remote Coastal and Island Communities
The white paper "Marine-Source Integrated Heat Pump (MS-IHP) System for Remote Coastal and Island Communities" focuses on the Water for Energy research area.
Roughly 3.8 million U.S. coastal homes still rely on fossil fuel heating, and 1.3 million use inefficient electric resist...
Gao, Z., and Kowalski, S.
Standardized Siting and Risk Analysis Decision Support Mechanisms for Water-Intensive Industries
This paper focuses on water for cooling industrial energy generation loads and energy and water for cooling large process loads. A challenge is that siting any large facility with substantial water demands without understanding baseline conditions and assessing potential multi-sec...
Fuchs, H., Karki, U., Stokes-Draut, J., Rao, P., Varadharajan, C., Hodson, A., Ajami, N., and Shehabi, A.
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.
Enabling Energy-Water Resilience in U.S. Data Centers: Water-Aware Grid Planning and Operations with Infrastructure-Compatible Cooling
Rapid, concentrated expansion of AI data centers is reshaping electricity demand profiles, local infrastructure requirements, and regional resource constraints. These facilities are often sized from tens to hundreds of megawatts with multi-gigawatt campus clusters. They are relati...
Zhou, Z., Wu, M., Qiu, F., Muehleisen, R., Zhao, D., Yan, E., and Worek, W.
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.
Reliable Water Resources for Resilient Next-Generation Geothermal Energy
This white paper focuses on expanding reclaimed wastewater for geothermal water management.
Challenges include rapid growth to 5 GW, rising demand for water in water-scarce regions. High volumes for drilling, stimulation, cooling, and reclaimed water infrastructure limits. High ...
Wu, M.
Hydrotwin: an AI-based physics and optimization framework for improved water resource resilience in systems experiencing adverse events
This white paper focuses on water for energy.
As we move ahead into an uncertain future for water resource demand and supply, a massive challenge exists to optimize water systems to be resilient to a range of press/pulse extreme event states and conditions. Optimal decision-makin...
Bennett, K., Schwenk, J., and Garcia, M.
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.