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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.

Agentic Optimization for Resilience in Hydropower Reservoir Systems

The growing electricity demand in the U.S. requires a resilient energy strategy. Hydropower is a major component of that strategy but is subject to environmental and human stressors that impact its dependability. AI-driven reinforcement learning, called "Agentic" learning, presen...

Schwenk, J., Garcia-Cardona, C., Bennett, K., Singh, S., and Brelsford, C.

Produced Water: A Potential Solution to Achieve America Energy Dominance

Produced water, a significant byproduct of oil and gas extraction, represents an underutilized water resource. However, the high salinity, presence of organics, and scale-forming compounds make it technically challenging to treat. Membrane desalination technologies suffer from fou...

Sharan, P., and Ho, T.

A Multi-Scale Integrated Assessment Model for How Emerging Biotechnologies Can Contribute to Decoupling Energy and Water Systems

Energy-water (EW) systems in the U.S. are deeply interconnected through complex networks vulnerable to disruptions, such as when a regional drought simultaneously impacts hydropower generation, thermoelectric production, and water availability across multiple sectors, producing kn...

Patelli, P., Solander, K., Gonzalez-Esquer, R., Xu, C., Bower, C., Davis, R., Carruthers, J., and Thomas, J.