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Process Design and Optimization for Wastewater Treatment Efficiency and Resilience

This white paper explores the benefits of using digital twins and mathematical programming techniques to optimize energy consumption in wastewater treatment processes, thereby enhancing resilience and efficiency. Key challenges faced by current facilities include high energy consu...

Rawlings, E., Klise, K., and Gunter, D.

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.

Meeting Energy and Water Demands: Collocated Geothermal Solutions

This white paper focuses on strategies to optimize site and project-scale geothermal operations, including Enhanced Geothermal Systems (EGS), Advanced Geothermal Systems (AGS), and hydrothermal systems, to address growing energy demands and dual challenges of water conservation an...

DiRaddo, S., Goecker, A., Villante, M., Wild, T., and Rebich, R.

Water for Baseload Power-A Revamp of the Nation's Nuclear Water Use Data

Providing approximately 20% of total U.S. electricity generation each year from a fleet of only 54 plants (94 reactors) nationwide, the nuclear sector is characterized by large and locally impactful power generating facilities. About half of existing reactors rely on once-through ...

Turner, S., Siddik, M., Montgomery, C., and Marston, L.

Integrated Energy-Water Data for Cross-Sector Resilience

Disjointed management of water and energy systems has created systemic vulnerabilities in the United States, particularly as aging infrastructure, population and industrial growth, and severe weather events strain both sectors. High-quality, standardized datasets like those provid...

Hodson, A., Stokes-Draut, J., Chini, C., Rao, P., and Semrod, K.

Co-optimization of Energy and Water Demands to Enable Rapid but Resilient Expansion of Data Centers

Data centers consume substantial amounts of electricity and can amplify water stress locally as well as in distant regions via their direct (for cooling) and indirect (for thermoelectric power generation) consumption of water. There is an opportunity to enhance energy-water resili...

Burleyson, C., Akdemir, K., Mongird, K., and Wild, T.

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.

Synergistic Pathways for Water Security in Emerging Sectors: Data Centers and Modern Nuclear Facilities

Stand-alone data centers, nuclear-powered data centers, and novel nuclear facilities such as fusion plant and small modular reactors are water intensive sectors poised to rapidly expand, presenting a significant challenge to the water-for-energy nexus. The potential for large-scal...

Catalano, A., Duan, Z., Quimby, C., Wang, T., Chini, C., Premathilake, L., and Pope, J.

Water-Energy Resiliency for Agricultural Systems

This white paper focuses on energy-water implications of agricultural water supply needs and nutrient management. Challenges include agricultural water use and consumption, energy-water relationships in agriculture, and water quality impacts on drinking water and surface water. ...

Steward, D., and Leick, N.

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.

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