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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.

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.

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-Water Resiliency for Drinking Water and Wastewater Treatment

This white paper focuses on water treatment operational flexibility, technoeconomic analyses, real-time modeling and control, modular systems, and resource recovery. Challenges include municipal water and wastewater services are large energy users; underestimation of energy and w...

Struck, S., Boren, B., and Hardikar, M.