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Improved quantification of river nutrient loading for better water quality and more efficient energy use
The focus of this paper is multi-sector dynamics involving agriculture practices, water quality and energy. Currently there lacks high-resolution spatiotemporal data regarding water quality and usage, forcing the planning for water treatment to adopt the conservative, worst-case a...
Tang, J., and Zhu, Q.
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.
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.
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.
Revolutionizing Water-Energy Infrastructure Resilience through Distributed Sensing and Digital Twins
This white paper addresses the intersection of Water for Energy and Energy for Water, proposing foundational technology to enhance the resilience and operational longevity of critical national assets, including hydropower facilities and marine energy systems.
The core challenge i...
Luo, L.
From Modeling to Testbeds: Taking an Expanded Look at Wastewater Reuse
The primary focus is on energy for water, considering the myriad tradeoffs influencing the adoption of wastewater reuse, particularly considering its energy intensity.
Wastewater reuse offers a compelling opportunity to concurrently tackle water scarcity and enhance energy effic...
Tidwell, V., Bixler, T., Niazi, H., Marsh, P., and Wild, T.
Advancing Energy-Water Resilience through Integrated Science and Technology for Natural Infrastructure Management
This white paper focuses on water for energy.
The challenge is that ecosystems are under increasing stress from rising temperatures, prolonged drought, and intensifying disturbances like wildfire, insects, and land-use change, which can impact the hydrologic capacity of watershed...
Dickman, L., Atchley, A., Giovando, J., Fluet-Chouinard, E., Xu, C., and McPherson, T.
Energy-Water System Resilience to Flooding
This white paper addresses the resilience challenges and opportunities within interdependent energy-water systems, particularly under the stress of flooding events. It describes how large-scale flood events impact these systems, posing risks such as operational constraints, infras...
McPherson, T., Giovando, J., Hou, H., Daniel, B., Bracken, C., Li, X., and Bixler, T.
A National Framework for Water-Informed Geothermal Expansion and Energy-Water Resilience
This white paper outlines the need for a coordinated, national framework to guide geothermal energy expansion in ways that use water efficiently and strengthen energy-water resilience. It highlights the opportunity to connect national-to-regional modeling with site-scale analysis,...
Wild, T., Niazi, H., DiRaddo, S., Villante, M., Goecker, A., and Chowdhury, K.
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.