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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.
A Framework for Improving Locational Marginal Price Estimates for Technoeconomic Analysis of Hydropower Investments and Operational Decisions
The focus is on improving the analytics supporting hydropower investment decisions through the more accurate characterization of the locational marginal prices (LMPs) that will define future energy payments. Enhanced analytics around LMP prediction could also be used to improve op...
Balducci, P., DeSomber, K., and Zhou, Z.
Unlocking Small-scale Hydropower using Water Infrastructure for National Energy Security
Reliable local energy generation and long-duration energy storage are critical to balancing peak demands and providing distributed emergency backup near both urban and rural populations. However, small-scale (< 10 MW) hydropower faces barriers, including siting, permitting, water ...
Stokes-Draut, J., Taylor, M., and Rao, P.
Integrated Planning for Resilient Energy-, Infrastructure-, and Hydro-Scapes
The focus of this paper is nationally-comprehensive, hyper-granular assessment of future energy expansion opportunities and challenges, considering multi-dimensional risks and consequent implications of large infrastructure additions on surface water and groundwater, spanning from...
McCollum, D., Rathore, S., Liu, Y., and Parish, E.
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.