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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.
Resilience By Design: Advanced Metrics and Comprehensive Methods for Energy-Water Systems Analysis
This white paper examines the connections between energy and water systems, highlighting the need for thorough resilience analyses and interdisciplinary metrics in these sectors. It addresses challenges stemming from the growing interdependence and uncertainty in decision-making d...
Valdez, R., Jackson, N., and Wachtel, A.
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.
Integrated Water-Energy Resilience Research and Testbeds
Water availability increasingly constrains the reliability and flexibility of water-dependent energy systems, including hydropower, thermoelectric generation, and grid operations. Hydrologic extremes, shifting demand, aging infrastructure, and cross-sector pressures are intensifyi...
Negron-Juarez, R., Amusat, O., Koven, C., and Viers, J.
Framework for Enabling Energy Reliability for Wastewater Utilities
This white paper addresses Energy for Water, focusing on enabling energy reliability at wastewater (WW) utilities with an emphasis on grid-interactive operations. Although multiple options exist for wastewater treatment plants (WWTPs), implementing energy reliable strategies lack ...
Sharma, N., and Lemar, P.
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.
Supporting adoption of advanced forecast informed reservoir operations tools to improve agricultural and municipal water and energy outcomes
Expanding the use of advanced forecast-informed reservoir operations tools can optimize or improve water delivery and storage for energy generation, irrigation, and municipal uses. Advanced forecast-informed data and tools are increasingly being integrated into large-scale reservo...
Jorgensen, J., Giovando, J., Pracheil, B., Hou, H., and Niazi, H.
AI-Enhanced Hydropower Systems: Smart Dams for a Resilient Future
This paper focuses on water-energy, using AI for smart, holistic hydropower operations to enhance water for energy resilience.
The existing challenges include (a) increasing demand for water and electricity, requiring a shift to flexible, real-time hydropower operations due to ch...
Varadharajan, C., Ajami, N., Brodie, E., Ciulla, F., Falco, N., Feldman, D., Newcomer, M., Dwivedi, D., Li, Y., Nakata, R., Nakata, N., Nico, P., Williams, K., Mahoney, M., Ramakrishnan, L., and Cholia, S.
Operational Flexibility for Integrated Energy-Water Resilience
This white paper focuses on advancing operational flexibility as a pathway to integrated energy-water resilience. It addresses the persistent fragmentation between water and energy systems, where separate regulatory, operational, and investment frameworks limit co-optimization and...
Jackson, N., and Rao, N.
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.